IEC 61400-25-6:2016

Wind energy generation systems - Part 25-6: Communications for monitoring and control of wind power plants - Logical node classes and data classes for condition monitoring

IEC 61400-25-6:2016 specifies the information models related to condition monitoring for wind power plants and the information exchange of data values related to these models. This standard is to be used with other standards of the IEC 61400-25 series. This new edition includes the following significant technical changes with respect to the previous edition:
- major restructuring of the data model to accommodate flexibility; removal of UFF58 format;
- access to data using the standard reporting and logging functions;
- recommendations for creating data names to accommodate flexibility

Systèmes de génération d'énergie éolienne - Partie 25-6: Communications pour la surveillance et la commande des centrales éoliennes – Classes de nœuds logiques et classes de données pour la surveillance d'état

l’IEC 61400-25-6:2016 spécifie les modèles d’information liés à la surveillance d’état pour les centrales éoliennes et l’échange d’information des valeurs de données liées à ces modèles. La présente norme doit être utilisée avec d'autres normes de la série CEI 61400-25. Cette édition inclut les modifications techniques majeures suivantes par rapport à l'édition précédente:
- restructuration majeure du modèle de données afin d’obtenir la flexibilité necessaire
- le format UFF58 n’est plus utilise.
- l’accès aux données utilise désormais les fonctions normalisées d’établissement de rapports et de journalisation
- les recommandations concernant la création de noms de données afin d’obtenir la flexibilité nécessaire

General Information

• Status: Published
• Publication Date: 15-Dec-2016
• ICS: 01 - GENERALITIES. TERMINOLOGY. STANDARDIZATION. DOCUMENTATION
• ICS: 03.120.01 - Quality in general
• ICS: 03.120.30 - Application of statistical methods
• ICS: 27.180 - Wind turbine energy systems
• Technical Committee: TC 88 - Wind energy generation systems
• Drafting Committee: JWG 25 - TC 88/JWG 25
• Current Stage: PPUB - Publication issued
• Start Date: 18-Jan-2017
• Completion Date: 16-Dec-2016

Relations

• Revises: IEC 61400-25-6:2010 - Wind turbines - Part 25-6: Communications for monitoring and control of wind power plants - Logical node classes and data classes for condition monitoring
• Effective Date: 05-Sep-2023

Standards Content (Sample)

IEC 61400-25-6 ®
Edition 2.0 2016-12
INTERNATIONAL
STANDARD
colour
inside
Wind energy generation systems –
Part 25-6: Communications for monitoring and control of wind power plants –
Logical node classes and data classes for condition monitoring

All rights reserved. Unless otherwise specified, no part of this publication may be reproduced or utilized in any form
or by any means, electronic or mechanical, including photocopying and microfilm, without permission in writing from
either IEC or IEC's member National Committee in the country of the requester. If you have any questions about IEC
copyright or have an enquiry about obtaining additional rights to this publication, please contact the address below or
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About the IEC
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International Standards for all electrical, electronic and related technologies.

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IEC 61400-25-6 ®
Edition 2.0 2016-12
INTERNATIONAL
STANDARD
colour
inside
Wind energy generation systems –

Part 25-6: Communications for monitoring and control of wind power plants –

Logical node classes and data classes for condition monitoring

INTERNATIONAL
ELECTROTECHNICAL
COMMISSION
ICS 27.180 ISBN 978-2-8322-3723-6

– 2 – IEC 61400-25-6:2016  IEC 2016
CONTENTS
FOREWORD . 5
INTRODUCTION . 7
1 Scope . 9
2 Normative references . 10
3 Terms and definitions . 10
4 Abbreviated terms . 12
5 General . 14
5.1 Overview . 14
5.2 Condition monitoring information modelling . 14
5.3 Coordinate system applied for identifying direction and angles . 15
5.4 Operational state bin concept . 16
5.4.1 General . 16
5.4.2 Example of how to use active power as an operational state. 16
6 Logical nodes for wind turbine condition monitoring . 16
6.1 General . 16
6.2 Logical nodes inherited from IEC 61400-25-2 . 17
6.3 Wind turbine condition monitoring logical node WCON . 17
6.3.1 General . 17
6.3.2 CDCs applicable for the logical node WCON . 18
7 Common data classes for wind turbine condition monitoring . 18
7.1 General . 18
7.2 Common data classes defined in IEC 61400-25-2 . 18
7.3 Conditions for data attribute inclusion . 18
7.4 Common data class attribute name semantic . 19
7.5 Condition monitoring bin (CMB) . 20
7.6 Condition monitoring measurement (CMM) . 21
7.7 Scalar value array (SVA). 22
7.8 Complex measurement value array (CMVA) . 23
8 Common data class CMM attribute definitions . 24
8.1 General . 24
8.2 Attributes for condition monitoring measurement description . 25
8.2.1 General . 25
8.2.2 Condition monitoring sensor (trd) . 25
8.2.3 Shaft identification (shfId) and bearing position (brgPos) . 30
8.2.4 Measurement type (mxType) . 31
Annex A (informative) Recommended mxType values . 33
A.1 General about tag names and datanames of the WCON Class . 33
A.2 Mapping of measurement tags to mxTypes . 33
A.2.1 General . 33
A.2.2 Scalar values (MV)(Descriptors) . 33
A.2.3 Array measurements (SVA) – Frequency domain . 33
A.2.4 Array measurements (SVA) – Time domain . 33
A.3 mxType values . 33
Annex B (informative) Application of data attributes for condition monitoring
measurement description for measurement tag naming. 37

B.1 General . 37
B.2 Naming principle using the data attributes in CMM CDC . 37
B.3 Examples . 38
Annex C (informative) Condition monitoring bins examples . 39
C.1 Example 1: One dimensional bins . 39
C.2 Example 2: Two dimensional bins . 40
C.3 Example 3: Two dimensional bins with overlap . 42
Annex D (informative) Application example . 45
D.1 Overview of CDCs essential to IEC 61400-25-6 . 45
D.2 How to apply data to CDCs . 45
D.3 How to apply an alarm . 47
Bibliography . 49

Figure 1 – Condition monitoring with separated TCD/CMD functions . 8
Figure 2 – Schematic flow of condition monitoring information . 9
Figure 3 – Reference coordinates system for the drive train . 15
Figure 4 – Active power bin concept . 16
Figure 5 – Sensor angular orientation as seen from the rotor end . 29
Figure 6 – Sensor motion identification . 29
Figure 7 – Sensor normal and reverse motion . 30
Figure 8 – Principle of shaft and bearing identification along a drive train . 31
Figure B.1 – Naming principles for trd data attribute . 37
Figure C.1 – Bin configuration example 1 . 40
Figure C.2 – Bin configuration example 2 . 42
Figure C.3 – Bin configuration example 3 . 44
Figure D.1 – Linkage of the CDCs . 45

Table 1 – Abbreviated terms applied . 13
Table 2 – Coordinate system and wind turbine related characteristics . 15
Table 3 – LN: Wind turbine condition monitoring information (WCON) . 18
Table 4 – Conditions for the presence of a data attribute . 19
Table 5 – Common data class attribute name semantic . 20
Table 6 – CDC: Condition monitoring bin (CMB) . 21
Table 7 – CDC: Condition monitoring measurement (CMM) . 22
Table 8 – CDC: Scalar value array (SVA) . 23
Table 9 – CDC: Complex measurement value array (CMVA) . 24
Table 10 – Data attributes used for measurement description . 25
Table 11 – Sensor identification convention for “trd” attribute . 25
Table 12 – Abbreviated terms for “trd” – “location” description . 26
Table 13 – Sensor type code . 28
Table 14 – Reference code for sensor sensitive axis orientation . 29
Table 15 – Gearbox shaft and bearing identification . 31
Table A.1 – Examples of applicable mappings from tag to MxType . 34
Table B.1 – Examples of Tag names and corresponding short datanames . 38

– 4 – IEC 61400-25-6:2016  IEC 2016
Table C.1 – CMB example 1 . 39
Table C.2 – CMB data object example 1 . 39
Table C.3 – CMB example 2 . 41
Table C.4 – CMB data object example 2 . 41
Table C.5 – CMB example 3 . 43
Table C.6 – CMB data object example 3 . 43
Table D.1 – Object overview .
...

IEC 61400-25-6 ®
Edition 2.0 2016-12
INTERNATIONAL
STANDARD
NORME
INTERNATIONALE
colour
inside
Wind energy generation systems –
Part 25-6: Communications for monitoring and control of wind power plants –
Logical node classes and data classes for condition monitoring

Systèmes de génération d’énergie éolienne –
Partie 25-6: Communications pour la surveillance et la commande des centrales
éoliennes – Classes de nœuds logiques et classes de données pour la
surveillance d'état
All rights reserved. Unless otherwise specified, no part of this publication may be reproduced or utilized in any form
or by any means, electronic or mechanical, including photocopying and microfilm, without permission in writing from
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About the IEC
The International Electrotechnical Commission (IEC) is the leading global organization that prepares and publishes
International Standards for all electrical, electronic and related technologies.

About IEC publications
The technical content of IEC publications is kept under constant review by the IEC. Please make sure that you have the
latest edition, a corrigenda or an amendment might have been published.

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documents. Available for PC, Mac OS, Android Tablets and languages. Also known as the International Electrotechnical
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IEC 61400-25-6 ®
Edition 2.0 2016-12
INTERNATIONAL
STANDARD
NORME
INTERNATIONALE
colour
inside
Wind energy generation systems –

Part 25-6: Communications for monitoring and control of wind power plants –

Logical node classes and data classes for condition monitoring

Systèmes de génération d’énergie éolienne –

Partie 25-6: Communications pour la surveillance et la commande des centrales

éoliennes – Classes de nœuds logiques et classes de données pour la

surveillance d'état
INTERNATIONAL
ELECTROTECHNICAL
COMMISSION
COMMISSION
ELECTROTECHNIQUE
INTERNATIONALE
ICS 27.180 ISBN 978-2-8322-5158-4

– 2 – IEC 61400-25-6:2016  IEC 2016
CONTENTS
FOREWORD . 5
INTRODUCTION . 7
1 Scope . 9
2 Normative references . 10
3 Terms and definitions . 11
4 Abbreviated terms . 12
5 General . 14
5.1 Overview . 14
5.2 Condition monitoring information modelling . 14
5.3 Coordinate system applied for identifying direction and angles . 15
5.4 Operational state bin concept . 16
5.4.1 General . 16
5.4.2 Example of how to use active power as an operational state. 16
6 Logical nodes for wind turbine condition monitoring . 16
6.1 General . 16
6.2 Logical nodes inherited from IEC 61400-25-2 . 17
6.3 Wind turbine condition monitoring logical node WCON . 17
6.3.1 General . 17
6.3.2 CDCs applicable for the logical node WCON . 18
7 Common data classes for wind turbine condition monitoring . 18
7.1 General . 18
7.2 Common data classes defined in IEC 61400-25-2 . 18
7.3 Conditions for data attribute inclusion . 18
7.4 Common data class attribute name semantic . 19
7.5 Condition monitoring bin (CMB) . 20
7.6 Condition monitoring measurement (CMM) . 21
7.7 Scalar value array (SVA). 22
7.8 Complex measurement value array (CMVA) . 23
8 Common data class CMM attribute definitions . 24
8.1 General . 24
8.2 Attributes for condition monitoring measurement description . 25
8.2.1 General . 25
8.2.2 Condition monitoring sensor (trd) . 25
8.2.3 Shaft identification (shfId) and bearing position (brgPos) . 30
8.2.4 Measurement type (mxType) . 31
Annex A (informative) Recommended mxType values . 33
A.1 General about tag names and datanames of the WCON Class . 33
A.2 Mapping of measurement tags to mxTypes . 33
A.2.1 General . 33
A.2.2 Scalar values (MV)(Descriptors) . 33
A.2.3 Array measurements (SVA) – Frequency domain . 33
A.2.4 Array measurements (SVA) – Time domain . 33
A.3 mxType values . 33

Annex B (informative) Application of data attributes for condition monitoring
measurement description for measurement tag naming . 37
B.1 General . 37
B.2 Naming principle using the data attributes in CMM CDC . 37
B.3 Examples . 38
Annex C (informative) Condition monitoring bins examples . 39
C.1 Example 1: One dimensional bins . 39
C.2 Example 2: Two dimensional bins . 40
C.3 Example 3: Two dimensional bins with overlap . 42
Annex D (informative) Application example . 45
D.1 Overview of CDCs essential to IEC 61400-25-6 . 45
D.2 How to apply data to CDCs . 45
D.3 How to apply an alarm . 47
Bibliography . 49

Figure 1 – Condition monitoring with separated TCD/CMD functions . 8
Figure 2 – Schematic flow of condition monitoring information . 10
Figure 3 – Reference coordinates system for the drive train . 15
Figure 4 – Active power bin concept . 16
Figure 5 – Sensor angular orientation as seen from the rotor end . 29
Figure 6 – Sensor motion identification . 29
Figure 7 – Sensor normal and reverse motion . 30
Figure 8 – Principle of shaft and bearing identification along a drive train . 31
Figure B.1 – Naming principles for trd data attribute . 37
Figure C.1 – Bin configuration example 1 .
...