Comparer des méthodes

	Pronostics et prédiction de la durée de vie utile restante (RUL)	Comptage Rainflow
Domaine	Ingénierie de la fiabilité	Ingénierie de la fiabilité
Famille	Process / pipeline	Process / pipeline
Année d'origine	2000s	1974
Auteur d'origine	George Vachtsevanos and others	Tatsuo Endo
Type	Predictive analytics methodology	Cycle counting algorithm
Source fondatrice	Vachtsevanos, G., Lewis, F. L., Roemer, M., Hess, A., & Wu, B. (2006). Intelligent Fault Diagnosis and Prognosis for Engineering Systems. Wiley.	Goodman, J. (1899). Mechanics Applied to Engineering. Longman, Green and Co.
Alias	RUL, Remaining useful life, PHM, Prognostics and Health Management	Rainflow cycle counting, RFC
Apparentées	4	4
Résumé	Prognostics and Health Management (PHM) is a methodology for predicting the remaining useful life (RUL) of equipment by monitoring its condition and extrapolating degradation trends. Unlike reactive maintenance (wait for failure) or preventive maintenance (fixed schedules), prognostics enable predictive maintenance: act only when failure is imminent. Formalized in the 2000s by researchers including George Vachtsevanos, RUL prediction integrates sensor data, degradation models, and uncertainty quantification to inform maintenance planning and reduce downtime.	Rainflow counting is a fatigue cycle counting method that converts a complex stress history into individual cycles for damage assessment. Developed by Tatsuo Endo and colleagues in 1974, it provides the most physically realistic representation of fatigue damage when combined with Miner's linear cumulative damage hypothesis. The algorithm has become the industry standard in reliability engineering and vibration analysis.