Hard coal and coke — Mechanical sampling — Part 8: Methods of testing for bias

ISO 13909-8:2016 sets out principles and procedures for testing the bias of test samples of hard coals or cokes, taken in accordance with ISO 13909: 2016 (all parts). NOTE In the text, the term "fuel" is used where both coal and coke would be applicable in the context and either "coal" or "coke" where only one is applicable.

Houille et coke — Échantillonnage mécanique — Partie 8: Méthodes de détection du biais

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Status
Published
Publication Date
22-Jun-2016
Technical Committee
Drafting Committee
Current Stage
9092 - International Standard to be revised
Completion Date
25-May-2023
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INTERNATIONAL ISO
STANDARD 13909-8
Second edition
2016-07-01
Hard coal and coke — Mechanical
sampling —
Part 8:
Methods of testing for bias
Houille et coke — Échantillonnage mécanique —
Partie 8: Méthodes de détection du biais
Reference number
ISO 13909-8:2016(E)
©
ISO 2016

---------------------- Page: 1 ----------------------
ISO 13909-8:2016(E)

COPYRIGHT PROTECTED DOCUMENT
© ISO 2016, Published in Switzerland
All rights reserved. Unless otherwise specified, no part of this publication may be reproduced or utilized otherwise in any form
or by any means, electronic or mechanical, including photocopying, or posting on the internet or an intranet, without prior
written permission. Permission can be requested from either ISO at the address below or ISO’s member body in the country of
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copyright@iso.org
www.iso.org
ii © ISO 2016 – All rights reserved

---------------------- Page: 2 ----------------------
ISO 13909-8:2016(E)

Contents Page
Foreword .iv
Introduction .v
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
4 Principles . 1
5 Pretest inspection . 2
6 Reference methods . 2
7 Test design . 3
7.1 Choice of test parameters . 3
7.2 Number of paired samples. 3
7.3 Selection of sample pairs . 3
7.3.1 Composition of sample pairs . 3
7.3.2 Paired-increment samples. 4
7.3.3 Paired-batch samples . . 4
7.4 Choice of fuel for test . 4
7.5 Coke . 4
8 Conduct of the test . 4
8.1 General . 4
8.2 Collection and preparation of test samples . 5
9 Outline of test procedure . 5
9.1 General . 5
9.2 Special precautions for moisture-test samples . 6
9.3 Documentation . 6
10 Statistical analysis and interpretation . 6
10.1 Outline of statistical procedure . 6
10.2 Calculations . 7
10.2.1 Statistical procedure for identifying outliers . 7
10.2.2 Disposition of outliers . 8
10.2.3 Calculation of confidence intervals and determining bias . 8
10.2.4 Review of the 95 % confidence region for the bias .12
11 Test report .12
Annex A (informative) Example calculations.13
Bibliography .28
© ISO 2016 – All rights reserved iii

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ISO 13909-8:2016(E)

Foreword
ISO (the International Organization for Standardization) is a worldwide federation of national standards
bodies (ISO member bodies). The work of preparing International Standards is normally carried out
through ISO technical committees. Each member body interested in a subject for which a technical
committee has been established has the right to be represented on that committee. International
organizations, governmental and non-governmental, in liaison with ISO, also take part in the work.
ISO collaborates closely with the International Electrotechnical Commission (IEC) on all matters of
electrotechnical standardization.
The procedures used to develop this document and those intended for its further maintenance are
described in the ISO/IEC Directives, Part 1. In particular the different approval criteria needed for the
different types of ISO documents should be noted. This document was drafted in accordance with the
editorial rules of the ISO/IEC Directives, Part 2 (see www.iso.org/directives).
Attention is drawn to the possibility that some of the elements of this document may be the subject of
patent rights. ISO shall not be held responsible for identifying any or all such patent rights. Details of
any patent rights identified during the development of the document will be in the Introduction and/or
on the ISO list of patent declarations received (see www.iso.org/patents).
Any trade name used in this document is information given for the convenience of users and does not
constitute an endorsement.
For an explanation on the meaning of ISO specific terms and expressions related to conformity
assessment, as well as information about ISO’s adherence to the WTO principles in the Technical
Barriers to Trade (TBT), see the following URL: Foreword - Supplementary information
The committee responsible for this document is ISO/TC 27, Solid mineral fuels, Subcommittee SC 4,
Sampling.
This second edition cancels and replaces the first edition (ISO 13909-8:2001), which has been
technically revised.
ISO 13909 consists of the following parts, under the general title Hard coal and coke — Mechanical
sampling:
— Part 1: General introduction
— Part 2: Coal — Sampling from moving streams
— Part 3: Coal — Sampling from stationary lots
— Part 4: Coal — Preparation of test samples
— Part 5: Coke — Sampling from moving streams
— Part 6: Coke — Preparation of test samples
— Part 7: Methods for determining the precision of sampling, sample preparation and testing
— Part 8: Methods of testing for bias
iv © ISO 2016 – All rights reserved

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ISO 13909-8:2016(E)

Introduction
It is not possible to lay down a standard method for field work by which a sampling procedure can be
tested for bias because details of the procedure will inevitably be affected by local conditions. However,
certain principles can be specified which ought to be adhered to whenever possible and these are
discussed in this part of ISO 13909.
Testing for bias can be a tedious and expensive process. All bias tests therefore include a thorough
pretest inspection, with appropriate action taken regarding any system deficiencies likely to cause bias.
© ISO 2016 – All rights reserved v

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INTERNATIONAL STANDARD ISO 13909-8:2016(E)
Hard coal and coke — Mechanical sampling —
Part 8:
Methods of testing for bias
1 Scope
This part of ISO 13909 sets out principles and procedures for testing the bias of test samples of hard
coals or cokes, taken in accordance with other parts of ISO 13909.
NOTE In the text, the term “fuel” is used where both coal and coke would be applicable in the context and
either “coal” or “coke” where only one is applicable.
2 Normative references
The following documents, in whole or in part, are normatively referenced in this document and are
indispensable for its application. For dated references, only the edition cited applies. For undated
references, the latest edition of the referenced document (including any amendments) applies.
ISO 13909-1, Hard coal and coke — Mechanical sampling — Part 1: General introduction
ISO 13909-4, Hard coal and coke — Mechanical sampling — Part 4: Coal — Preparation of test samples
ISO 13909-6, Hard coal and coke — Mechanical sampling — Part 6: Coke — Preparation of test samples
ISO 13909-7, Hard coal and coke — Mechanical sampling — Part 7: Methods for determining the precision
of sampling, sample preparation and testing
ISO 21398, Hard coal and coke — Guidance to the inspection of mechanical sampling systems
3 Terms and definitions
For the purposes of this document, the terms and definitions given in ISO 13909-1 apply.
4 Principles
The testing of a sampling system for bias is based on taking a series of pairs of samples of essentially
the same fuel; one member of each pair being sampled by the system or component under test, the other
member being obtained by a reference method. For each pair, the difference between the analytical
results is determined. The series of differences between the analytical results thus obtained are
subjected to statistical analysis.
The sensitivity of the statistical test is dependent on the number of pairs compared, the variability of
the differences between members of the pairs, and the number of parameters used for the test.
The statistical analysis to which results will be subjected assumes the following three conditions:
— a multivariate normal distribution of the variables;
— independence of the errors of measurement for the individual parameters;
— homogeneity of the data.
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ISO 13909-8:2016(E)

5 Pretest inspection
The primary sources of information regarding compliance with the sampling standard are the
equipment specifications and drawings.
A thorough examination of the sampling system and a review of its component specification shall be
made (see ISO 21398).
The party performing the test shall, however, verify performance by field measurements and
observations. The operation of the sampling system shall be observed both dynamically with fuel
flowing and statically with no fuel flowing. Some components will need to be actuated in static mode.
Pretest inspections of all operations and equipment, both static and under load, should be carried out
by persons experienced in the sampling of segregated, heterogeneous, and lumpy bulk materials. It is
recommended that operation under normal conditions be observed for an entire lot.
Do not execute a test for bias until all conditions known to cause bias are corrected unless it is
necessary to establish the performance of a system or component as it stands. In the latter case, the
pretest inspection provides essential documentation of what the conditions were at the time of the test.
6 Reference methods
To test overall system bias, the use of a reference method which is known to be intrinsically unbiased
is required. The preferred method is the stopped-belt method, i.e. the collection of increments from a
complete cross-section of the fuel on the conveyor belt by stopping the belt at intervals. When properly
collected from the primary fuel stream, the stopped-belt increment can be considered as a reference
increment.
NOTE If it is not possible to collect stopped-belt increments, other reference methods can be used but, in
these cases, an apparent absence of a lack of bias relative to the reference method may not be conclusive and the
use of such methods may compromise the validity and authority of the findings.
With collection of stopped-belt increments, some disruption of normal operations can occur, and
therefore, the plan of execution may need to be coordinated with the normal operations and organized
to minimize such disruption. It should be recognized that the conveyor system involved may be used for
only a few hours per day for normal operations and cannot be operated solely for bias tests unless the
fuel can be diverted to another discharge point. This can extend the time necessary for completion of
the field work and require special arrangements for supplying fuel to the system for testing.
Stopped-belt increments shall be taken with a sampling frame (see Figure 1), or equivalent, from a
complete cross-section of the solid mineral fuel on the belt at a fixed position, for a length along the belt
which is at least three times the nominal top size of the fuel.
Figure 1 — Sampling frame
The sampling frame (or equivalent) shall be placed on the stationary belt at the predetermined position
so that the separator plates at each end are in contact with the belt across its full width. All particles
lying inside the sampling frame end plates shall be swept into the sampling container.
2 © ISO 2016 – All rights reserved

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ISO 13909-8:2016(E)

Particles obstructing the insertion of the end plate on the left-hand side shall be pushed into the
increment, while those obstructing the insertion of the end plate on the right-hand side shall be
pushed out of the increment or vice-versa. Whichever practice is used initially, this practice shall be
implemented throughout the test.
Care should be taken to minimize the risk of bias being introduced in the course of preparation of the
increments and samples and all sample division equipment and procedures should be checked for bias
with respect to relevant test parameters.
It is recommended that all increments/samples be weighed immediately after collection. Pay close
attention to minimizing unintended mass losses.
Report all observed mass losses.
7 Test design
7.1 Choice of test parameters
The standard test for general purposes shall include moisture and ash (ash on a dry basis). Use of these
two parameters will generally suffice. Other variables can be included if desired. However, given a
fixed number of sample pairs, the test often becomes less sensitive to detection of a bias as additional
variables are included.
Bias in ash on a dry basis is most commonly caused by errors in size distribution. Bias in moisture
content may be caused by a wide variety of factors, including, but not limited to, errors in size
distribution, moisture losses associated with crushers, excessive ventilation within the sampling
system, less than the closest possible coupling between system components, excessive retention time in
the system, or any combination of these.
Direct tests on particle size distribution are often necessary for coke. It is recommended that tests for
size distribution be conducted as a separate test and that size distribution parameters not be included
in the standard test for analytical parameters.
7.2 Number of paired samples
The minimum number of paired samples for the test shall be 30. However, if necessary, more sets may
be collected if the variance of the quality of the fuel is suspected to influence the detection of bias. On
the other hand, if use of a smaller number of paired samples results in a detection of bias, no additional
samples need be collected. After completing the statistical calculations, the resulting confidence
region can be evaluated. If no bias is detected, yet the confidence region covers levels of bias that are of
commercial concern, more paired samples can be collected for coal originating from this same source
in order to reduce the size of the confidence region.
7.3 Selection of sample pairs
7.3.1 Composition of sample pairs
The members of each pair of samples can each be comprised of portions of one or more increments.
Individual increments can be paired or samples of compounded increments can be paired. The test shall
be structured so that the expected mean of the differences of the result would be zero if no systematic
error is present in the system under test.
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ISO 13909-8:2016(E)

7.3.2 Paired-increment samples
Paired-increment experimental design is the comparing of individual primary increments after being
processed by the system, with the reference samples collected from the stopped belt.
NOTE 1 A final system sample consisting only of fuel collected from a single primary increment may be of
insufficient mass to provide an analytical result following the requirements specified in ISO 13909-4 and
ISO 13909-6 for preparation and analysis by the methods used routinely during regular operations.
NOTE 2 In causing the mechanical system to separately collect and process individual primary increments for
a test for bias, the system sample may lose more moisture than while the system is operating as designed.
7.3.3 Paired-batch samples
It is often not practical to obtain single increment samples from the system. Increments taken by the
system can be compounded as samples and paired with samples compounded from increments taken
over the same period using the reference method. It is not necessary that the two sample members,
reference and system, have the same number of increments or be of similar mass. Single stopped-belt
reference increments are often used as the reference sample and paired with compounded system
sample increments. In collecting paired-batch samples, the timing at which stopped-belt increments
are collected from each moving batch shall be determined using a random systematic sampling scheme.
7.4 Choice of fuel for test
If more than one coal is to be sampled by the system, the coal chosen for the test shall be one that is
expected to show up any bias in the sampling system. For example, bias for ash content on primary
samplers and sample dividers is commonly caused by the exclusion of larger sized particles. If a coal is
chosen where the ash content of such particles is similar to that of the coal as a whole, yet the particles
are too large for collection, then no bias will be detected even though those particles are being excluded.
If subsequently, the sampler is used to sample a coal where the large particles have an ash content
which differs from the mean, the sampling system could be biased by not accurately representing those
particles.
It is recommended that the complete bias test be carried out on coal from a single source.
7.5 Coke
The same requirements as those specified in 7.4 for coal with respect to its ash content shall apply
when choosing a coke for test with respect to its moisture content.
8 Conduct of the test
8.1 General
Test the whole system by comparing stopped-belt reference samples taken from the primary flow with
the product at the final stage of the preparation system. A bias test for the whole system is carried out
by comparing the reference samples taken from the main flow with the samples collected at the final
stage of the on-line system. The paired batch experimental design (see 7.3.3) is the preferred practice
because it minimizes the disruption of normal operations.
Bias may be hardware induced, system logic induced, or a combination of both. It follows that routine
operating conditions are best simulated by operating sampling systems under the control of system
logic at routine operating condition settings. When using the paired increment methodology, do not
stop the rest of the downstream system of the primary sampler via the system interlocks. This can be
facilitated by use of a bias-test mode of system operation. This is not an issue in paired batch tests.
Conveyor belt systems for handling fuel are often not designed for repeated starting and stopping
under load. The paired increment experimental design does not necessarily preclude collection of
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ISO 13909-8:2016(E)

stopped-belt increments, provided arrangements are made to stop the feed to the belt from which the
increment is to be collected before the belt is stopped, so that the belt will be only partially loaded on
restart. Increments can then be collected off the belt from the points in the stream where conditions
that prevailed before the feed was stopped still exist.
8.2 Collection and preparation of test samples
Special care is required in planning the duties of each member of the sampling team and exactly
how such duties will be performed. At this stage of planning, detailed operating protocols should be
established to ensure uniform and consistent collection, weighing and processing of samples. This
includes the preparation of facilities and assembly of all equipment necessary for collection of samples,
processing and packaging them, and transporting them from collection and weighing sites to processing
facilities and to the laboratory for analysis.
Special safety precautions are necessary for personnel working around the fuel handling and sampling
machinery. Attention is drawn to the need to comply with all relevant safety regulations, especially the
blocking of drive power to the conveyor from which the reference samples are collected.
The efficiency of the matched-pairs experimental design depends on the closeness with which
reference and system samples are physically paired (correlated) to minimize the impact of variations in
product quality within pairs. The extent to which within-pair variances are smaller than between-pair
variances is an indication that the objective of the matched-pairs experimental design is being fulfilled.
Prepare member pairs of samples together (even though through different steps) and analyse them in
the same batch to avoid the introduction of systematic error resulting from variations in treatment
during preparation and analysis. Be certain to preserve the identity of all samples.
Check the nominal top size of the fuel and the product of any sample crusher that is an integral part
of the system or subsystem under test. Include this information in the test report. Samples for this
purpose shall be separate from the matched pairs taken for the bias test.
In conducting bias tests where moisture content is a test parameter, care shall be taken to minimize
moisture change from the test samples by following the procedures herein (see 9.2). Prepare and analyse
the reference samples using the methods specified in ISO 13909-4, ISO 13909-6 and ISO 13909-7 for
sample preparation and analysis with respect to precision and bias. Prepare and analyse the system
samples by the methods used routinely during regular operations.
9 Outline of test procedure
9.1 General
The order of operations is as follows:
a) conduct a pretest inspection (see ISO 21398);
b) determine the physical location where the stopped-belt reference samples will be collected;
c) determine the parameters for the test;
d) determine the number of paired samples (minimum 30);
e) determine the composition of the sample pairs, and, if the paired batch method is to be used,
determine the random or systematic random scheme for collection of reference increments for
each batch;
f) proceed with collection of samples and carry out the tests according to Clauses 10 and 11.
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ISO 13909-8:2016(E)

9.2 Special precautions for moisture-test samples
Bias testing for total moisture content requires care to ensure that there is no change in the moisture
content of samples collected. Consequently, the following precautions shall be taken.
a) Avoid conditions that may cause changes in moisture content, such as rain, snow, excessive heat,
and wind.
b) Avoid contamination from free water carried by conveyor belts.
c) Ensure that sufficient labour is available to collect system and reference samples without delay.
d) Seal samples immediately after collection.
e) Carry out preparation and testing without delay to avoid moisture changes, if necessary, by
weighing samples at the collection point.
f) Take account of any moisture condensation on sample containers.
NOTE Coal that has been treated to eliminate freezing or dust generation is not suitable for testing for
moisture bias.
9.3 Documentation
Keep a record of the mass of each reference and non-reference sample. Also, keep a record of flow rates
on the main belt if the system is equipped with a flow-rate indicator or retain charts from flow-rate
recorders, if available.
A detailed log should be kept during the test showing the clock time at the beginning and end of
collection of each sample, the occurrence of any deviations from operating protocols or unusual events
and delays, and the reasons for them.
10 Statistical analysis and interpretation
10.1 Outline of statistical procedure
An outline of the procedure is as follows:
a) calculate all pair differences for each test set and each test parameter;
b) check the pair differences for outliers (see 10.2.1) and, if found, determine the appropriate
disposition of each outlier (see 10.2.2);
c) calculate the statistics and determine if a bias is detected;
d) if a bias is not detected, examine the confidence region. If the region covers levels of bias of
commercial concern, take more paired data sets and repeat the calculations.
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ISO 13909-8:2016(E)

10.2 Calculations
10.2.1 Statistical procedure for identifying outliers
Use the following procedure to identify possible outliers. This procedure is based on Cochran’s
maximum variance criterion. A statistic, Cochran’s criterion C, is calculated using Formula (1):
2
d
max
C= (1)
in=
2
d

i
i=1
where
d is the highest absolute value in the set of differences;
max
n is the number of pairs in the set.
Critical values for Cochran’s criterion at the 1 % level are given for n = 20 to n = 120 in Table 1. If the
value of C as calculated is greater than the table value, d is identified as an out
...

DRAFT INTERNATIONAL STANDARD
ISO/DIS 13909-8
ISO/TC 27/SC 4 Secretariat: SABS
Voting begins on: Voting terminates on:
2014-07-08 2014-10-08
Hard coal and coke — Mechanical sampling —
Part 8:
Methods of testing for bias
Houille et coke — Échantillonnage mécanique —
Partie 8: Méthodes de détection du biais
ICS: 75.160.10;73.040
THIS DOCUMENT IS A DRAFT CIRCULATED
FOR COMMENT AND APPROVAL. IT IS
THEREFORE SUBJECT TO CHANGE AND MAY
NOT BE REFERRED TO AS AN INTERNATIONAL
STANDARD UNTIL PUBLISHED AS SUCH.
IN ADDITION TO THEIR EVALUATION AS
BEING ACCEPTABLE FOR INDUSTRIAL,
TECHNOLOGICAL, COMMERCIAL AND
USER PURPOSES, DRAFT INTERNATIONAL
STANDARDS MAY ON OCCASION HAVE TO
BE CONSIDERED IN THE LIGHT OF THEIR
POTENTIAL TO BECOME STANDARDS TO
WHICH REFERENCE MAY BE MADE IN
Reference number
NATIONAL REGULATIONS.
ISO/DIS 13909-8:2014(E)
RECIPIENTS OF THIS DRAFT ARE INVITED
TO SUBMIT, WITH THEIR COMMENTS,
NOTIFICATION OF ANY RELEVANT PATENT
RIGHTS OF WHICH THEY ARE AWARE AND TO
©
PROVIDE SUPPORTING DOCUMENTATION. ISO 2014

---------------------- Page: 1 ----------------------
ISO/DIS 13909-8:2014(E)

Copyright notice
This ISO document is a Draft International Standard and is copyright-protected by ISO. Except as
permitted under the applicable laws of the user’s country, neither this ISO draft nor any extract
from it may be reproduced, stored in a retrieval system or transmitted in any form or by any means,
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ii © ISO 2014 – All rights reserved

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ISO/DIS 13909-8
Contents Page
Introduction.v
1 Scope.1
2 Normative references.1
3 Terms and definitions .1
4 Principles.1
4.1 General .1
5 Pre-test inspection .2
6 Reference methods .2
7 Test design.3
7.1 Choice of test parameters .3
7.2 Number of paired samples .3
7.3 Selection of sample pairs .3
7.4 Choice of fuel for test.4
7.5 Coke.4
8 Conduct of the test.4
8.1 General .4
8.2 Collection and preparation of test samples.5
9 Outline of test procedure.5
9.1 Special precautions for moisture-test samples .5
9.2 Documentation .6
10 Statistical analysis and interpretation.6
10.1 Outline of statistical procedure .6
10.2 Calculations .6
11 Test report.11
Annex A(informative)Example calculations .13
Bibliography.23
© ISO 2008 – All rights reserved iii

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ISO/DIS 13909-8
Introduction
It is not possible to lay down a standard method for field work by which a sampling procedure can be tested
for bias because details of the procedure will inevitably be affected by local conditions. However, certain
principles can be specified which should be adhered to whenever possible and these are discussed in this
part of ISO 13909.
Testing for bias can be a tedious and expensive process. All bias tests therefore include a thorough pre-test
inspection, with appropriate action taken regarding any system deficiencies likely to cause bias.
© ISO 2008 – All rights reserved v

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DRAFT INTERNATIONAL STANDARD ISO/DIS 13909-8
Hard coal and coke — Mechanical sampling — Part 8: Methods
of testing for bias
1 Scope
This part of ISO 13909 sets out principles and procedures for testing the bias of test samples of hard coals or
cokes, taken in accordance with other parts of ISO 13909.
NOTE In the text the term 'fuel' is used where both coal and coke would be applicable in the context and either 'coal'
or 'coke' where only one is applicable.
2 Normative references
The following referenced documents are indispensable for the application of this document. For dated
references, only the edition cited applies. For undated references, the latest edition of the referenced
document (including any amendments) applies.
ISO 13909-1, Hard coal and coke — Mechanical sampling — Part 1: General introduction
ISO 13909-2, Hard coal and coke — Mechanical sampling — Part 2: Coal — Sampling from moving streams
ISO 13909-4, Hard coal and coke — Mechanical sampling — Part 4: Coal — Preparation of test samples
ISO 13909-5, Hard coal and coke — Mechanical sampling — Part 5: Coke — Sampling from moving streams
ISO 13909-6, Hard coal and coke — Mechanical sampling — Part 6: Coke — Preparation of test samples
ISO 13909-7, Hard coal and coke — Mechanical sampling — Part 7: Methods for determining the precision of
sampling, sample preparation and testing
ISO 21398:2007, Hard coal and coke — Guide to the inspection of mechanical sampling systems.
3 Terms and definitions
For the purposes of this part of ISO 13909, the terms and definitions given in ISO 13909-1 apply.
4 Principles
4.1 General
The testing of a sampling system for bias is based on taking a series of pairs of samples of essentially the
same fuel; one member of each pair being sampled by the system or component under test, the other
member being obtained by a reference method. For each pair, the difference between the analytical results is
determined. The series of differences between the analytical results thus obtained are subjected to statistical
analysis.
The sensitivity of the statistical test is dependent on the number of pairs compared, the variability of the
differences between members of the pairs and the number of parameters used for the test.
The statistical analysis to which results will be subjected assumes three conditions:
© ISO 2008 – All rights reserved 1

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ISO/DIS 13909-8
The sampling frame (or equivalent) shall be placed on the stationary belt at the predetermined position so that
the separator plates at each end are in contact with the belt across its full width. All particles lying inside the
sampling frame end plates shall be swept into the sample container.
Particles obstructing the insertion of the end plate on the left-hand side shall be pushed into the increment
while those obstructing the insertion of the end plate on the right-hand side shall be pushed out of the
increment or vice-versa. Whichever practice is used initially, this practice shall be implemented throughout the
test.
Take care to minimize the risk of bias being introduced in the course of preparation of the increments and
samples and check all sample division equipment and procedures for bias with respect to relevant test
parameters.
It is recommended that all increments/samples be weighed immediately after collection. Close attention shall
be given to minimizing unintended mass losses.
All observed mass losses shall be reported.
7 Test design
7.1 Choice of test parameters
The standard test for general purposes shall include moisture and ash (ash on a dry basis). Use of these two
parameters will generally suffice. Other variables can be included if desired. However, given a fixed number
of sample pairs, the test often becomes less sensitive to detection of a bias as additional variables are
included.
Bias in ash content on a dry basis is most commonly caused by errors in size distribution. Bias in moisture
content may be caused by a wide variety of factors, including but not limited to errors in size distribution,
moisture losses associated with crushers, excessive ventilation within the sampling system, less than the
closest possible coupling between system components, excessive retention time in the system, or any
combination of these.
Direct tests on particle size distribution are often necessary for coke. It is recommended that tests for size
distribution be conducted as a separate test and that size distribution parameters not be included in the
standard test for analytical parameters.
7.2 Number of paired samples
The minimum number of paired samples for the test shall be 30. However, if use of a smaller number of
paired samples results in a detection of bias, no additional samples need be collected. After completing the
statistical calculations the resulting confidence region can be evaluated. If no bias is detected yet the
confidence region covers levels of bias that are of commercial concern, more paired samples can be collected
of fuel originating from this same source in order to reduce the size of the confidence region.
7.3 Selection of sample pairs
7.3.1 Composition of sample pairs
The members of each pair of samples can each be comprised of portions of one or more increments.
Individual increments can be paired or samples of compounded increments can be paired. The test shall be
structured so that the expected mean of the differences of the result would be zero if no systematic error is
present in the system under test.
7.3.2 Paired-increment samples
Paired-increment experimental design is the comparing of individual primary increments after being processed
by the system, with the reference samples collected from the stopped belt.
© ISO 2008 – All rights reserved 3

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ISO/DIS 13909-8
NOTE 1 A final system sample consisting only of fuel collected from a single primary increment may be of insufficient
mass to provide an analytical result following the requirements specified in ISO 13909-4 and ISO 13909-6 for preparation
and analysis by the methods used routinely during regular operations.
NOTE 2 In causing the mechanical system to separately collect and process individual primary increments for a test for
bias, the system sample may lose more moisture than while the system is operating as designed.
7.3.3 Paired-batch samples
It
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