Condition monitoring and diagnostics of machine systems — Data interpretation and diagnostics techniques — Part 1: General guidelines

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47718684%3A_____%2F25%3A10002932" target="_blank" >RIV/47718684:_____/25:10002932 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Condition monitoring and diagnostics of machine systems — Data interpretation and diagnostics techniques — Part 1: General guidelines

Popis výsledku v původním jazyce

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; andb) 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.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; andd) 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).

Název v anglickém jazyce

Condition monitoring and diagnostics of machine systems — Data interpretation and diagnostics techniques — Part 1: General guidelines

Popis výsledku anglicky

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; andb) 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.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; andd) 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).

Druh

H_leg - Výsledky promítnuté do právních předpisů a norem

CEP obor

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OECD FORD obor

20306 - Audio engineering, reliability analysis

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Číslo předpisu

ISO 13379-1:2025

Označení kompet. příslušného orgánu

ISO/TC 108/SC 5 - Condition monitoring and diagnostics of machine systems

Územní platnost výsledku

B - Platnost evropská či mezinárodní (předpisy EU, evropské či jiné nadnárodní normy)