ISO 13379-1:2025
(Main)Condition monitoring and diagnostics of machine systems — Data interpretation and diagnostics techniques — Part 1: General guidelines
Condition monitoring and diagnostics of machine systems — Data interpretation and diagnostics techniques — Part 1: General guidelines
This document a) establishes common concepts for condition monitoring and diagnostics of machine systems, simplifying communication between the users and manufacturers of condition monitoring and diagnostics systems; b) establishes technical characteristics and describes principles for condition monitoring and diagnostics of machine systems; c) gives guidance on developing condition monitoring and diagnostics systems; and d) gives guidance on selecting an appropriate diagnostic approach in the particular application. This document is applicable to any machine system whose state can be described by measuring or observing its operational parameters (or inputs) and responses (or outputs).
Surveillance et diagnostic de l'état des systèmes de machines — Interprétation des données et techniques de diagnostic — Partie 1: Lignes directrices générales
La présente partie de l'ISO 13379 fournit des lignes directrices pour l'interprétation des données et le diagnostic des machines. Elle est destinée à: — permettre aux utilisateurs et aux fabricants de systèmes de surveillance et de diagnostic de partager des concepts communs dans le domaine du diagnostic des machines; — permettre aux utilisateurs de préparer les caractéristiques techniques nécessaires qui sont utilisées ultérieurement pour le diagnostic de l'état de la machine; — donner une méthode appropriée pour obtenir un diagnostic des défauts de la machine. Étant donné qu'il s'agit de lignes directrices générales, une liste des types de machines concernées n'est pas incluse. Toutefois, les groupes de machines couverts par la présente partie de l'ISO 13379 comprennent normalement les machines industrielles telles que les turbines, les compresseurs, les pompes, les générateurs, les moteurs électriques, les soufflantes, les boîtes d'engrenages et les ventilateurs.
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Standards Content (Sample)
International
Standard
ISO 13379-1
Second edition
Condition monitoring and
2025-10
diagnostics of machine systems —
Data interpretation and diagnostics
techniques —
Part 1:
General guidelines
Surveillance et diagnostic de l'état des systèmes de machines —
Interprétation des données et techniques de diagnostic —
Partie 1: Lignes directrices générales
Reference number
© ISO 2025
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ii
Contents Page
Foreword .iv
Introduction .v
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
4 Diagnostics and its relation to condition monitoring . 2
5 Requirements to set-up condition monitoring and diagnostics. 3
5.1 General .3
5.2 Establishing diagnostics needs .3
5.3 Failure mode symptoms analysis (FMSA) .4
5.3.1 General .4
5.3.2 Usage guidance .4
5.3.3 Rating guidance . .5
5.3.4 Assessing FMSA results using a monitoring priority number (MPN) .6
5.3.5 Assessing FMSA results using a diagram .7
5.4 Diagnostics requirements report .8
6 Elements used for diagnostics . 8
6.1 Condition monitoring data . .8
6.1.1 Parameters and measurements .8
6.1.2 Descriptors .9
6.1.3 Symptoms .9
6.1.4 Fault .10
6.2 Machine system data . .11
6.3 Maintenance data and events related to the machine system .11
7 Diagnostic approaches and models .11
7.1 Definition of diagnostic approaches .11
7.2 General guidelines for developing a diagnostic model . 12
7.3 Data-driven approach . . 13
7.3.1 General . 13
7.3.2 Building the model .14
7.3.3 Strengths and weaknesses .14
7.4 Knowledge-based approach. 15
7.4.1 Fault-symptom diagnostics . 15
7.4.2 Causal trees .16
7.4.3 First-principle models . .18
7.5 Confidence factor determination .19
Annex A (informative) Example of diagnostic report .20
Annex B (informative) Failure mode symptoms analysis (FMSA) worksheet .23
Annex C (informative) Examples of ratings used for failure mode symptoms analysis (FMSA) .25
Annex D (informative) Effectiveness of the diagnostics system.26
Annex E (informative) Description of selected methods used to build diagnostic models .28
Annex F (informative) Overview of diagnostic model applicability by monitoring technique .35
Annex G (informative) Example of bearing spalling modelled with a causal tree .36
Annex H (informative) Example of diagnosis confidence level determination .38
Bibliography .39
iii
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 document 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).
ISO draws attention to the possibility that the implementation of this document may involve the use of (a)
patent(s). ISO takes no position concerning the evidence, validity or applicability of any claimed patent
rights in respect thereof. As of the date of publication of this document, ISO had not received notice of (a)
patent(s) which may be required to implement this document. However, implementers are cautioned that
this may not represent the latest information, which may be obtained from the patent database available at
www.iso.org/patents. ISO shall not be held responsible for identifying any or all such patent rights.
Any trade name used in this document is information given for the convenience of users and does not
constitute an endorsement.
For an explanation of the voluntary nature of standards, the meaning of ISO specific terms and expressions
related to conformity assessment, as well as information about ISO's adherence to the World Trade
Organization (WTO) principles in the Technical Barriers to Trade (TBT), see www.iso.org/iso/foreword.html.
This document was prepared by Technical Committee ISO/TC 108, Mechanical vibration, shock and condition
monitoring, Subcommittee SC 5, Condition monitoring and diagnostics of machine systems.
This second edition of ISO 13379-1 cancels and replaces the first edition (ISO 13379-1:2012), which has been
technically revised. The main changes are as follows:
— the Scope of the document has been extended by the addition of Clause 1 c);
— Clause 4 has been added to outline recommended steps to perform diagnostics;
— new methods for assessing the failure mode symptoms analysis have been added, see 5.3.4 and 5.3.5;
— new examples and descriptions of elements used for diagnostics have been added in Clause 6;
— information provided in 7.1, 7.3 and Annexes E and F has been updated to reflect the state of the art;
— descriptions of data-driven methods have been moved to (informative) Annex E;
A list of all parts in the ISO 13379 series can be found on the ISO website.
Any feedback or questions on this document should be directed to the user’s national standards body. A
complete listing of these bodies can be found at www.iso.org/members.html.
iv
Introduction
Effective management of machine systems throughout their life cycles requires maintaining their
performance, reliability and availability. One of the key strategies to support this objective is condition
monitoring, which provides information on the state of the machine system.
Condition monitoring serves two principal roles:
a) to identify trends that indicate the remaining useful life of the machine system, deterioration of its
performance or increased risk of failures; and
b) to detect nonconformities, referred to as anomalies in the context of condition monitoring, by identifying
deviations from baseline values or expected operating conditions. Such deviations, when compared
against predefined criteria, can result in alarms.
Once an anomaly has been detected, it is often needed to identify its cause(s). Identifying the cause(s) of
the anomaly is referred to as diagnostics and supports the determination of appropriate corrective actions.
Stakeholders typically expect a certain level of accuracy in diagnostics, as its output — a diagnosis — can
directly influence machine system operation, maintenance planning and resource allocation. This document
supports users in developing diagnostic procedures and models, and in evaluating their confidence level,
applicability and limitations.
v
International Standard ISO 13379-1:2025(en)
Condition monitoring and diagnostics of machine systems —
Data interpretation and diagnostics techniques —
Part 1:
General guidelines
1 Scope
This document
a) establishes common concepts for condition monitoring and diagnostics of machine systems, simplifying
communication between the users and manufacturers of condition monitoring and diagnostics systems;
b) establishes techn
...
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