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

The result's identifiers

  • Result code in 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>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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).

  • Czech name

  • Czech description

Classification

  • Type

    H<sub>leg</sub> - Results projected into legislation, norms, national R&D strategy

  • CEP classification

  • OECD FORD branch

    20306 - Audio engineering, reliability analysis

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Regulation ID

    ISO 13379-1:2025

  • Competence designation of competent authority

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

  • Territorial validity of the result

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