5. Methods for selecting predictive maintenance alarm thresholds

5.1 Principles

In predictive maintenance, the definition of alarm thresholds is crucial for detecting anomalies before they lead to critical failures. Well-defined thresholds make it possible to identify abnormal signals while minimizing false alarms, which can lead to costly unnecessary interventions or failure to detect critical faults. A balance must be struck in determining the threshold between sensitivity and accuracy, to optimize the various risks (human, financial, environmental, resilience and sustainability). The use of traditional Industry 3.0 methods, and advanced Industry 4.0 and 5.0 methods combining statistics and artificial intelligence, can be used to adjust these thresholds and facilitate decision-making.

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Methods for selecting predictive maintenance alarm thresholds

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Bibliography

(1) - JARDINE (A.), LIN (K.), BANJEVIC (D.) - A review on machinery diagnostics and prognostics implementing condition-based maintenance. - In Mechanical Systems and Signal Processing, pp 1483-1510 (2006).
(2) - BREQUE (M.), DE NUL (L.), PETRIDIS (A.) -...

Websites

Site on company classification according to the French Ministry of the Economy and Finance

https://www.economie.gouv.fr/

European Commission website on Industry 5.0

https://commission.europa.eu/index_en

Safran...

Standards and norms

System reliability analysis techniques – Procedure for analyzing failure modes and their effects (FMEA). - IEC – NF EN 60812 - 2006
Functional safety of safety-related electrical/electronic/programmable electronic systems – Part 1: General requirements. - CEI 61508-1 - 2010
Procedures for performing a failure mode, effects, and criticality analysis. - MIL-P-1629 - 9 nov. 1949
Analysis techniques...