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Прогностика и прогнозиране на оставащия полезен живот (RUL)×Метод за надеждност от първи ред (FORM)×
ОбластИнженерство на надеждносттаИнженерство на надеждността
СемействоProcess / pipelineProcess / pipeline
Година на възникване2000s1969
СъздателGeorge Vachtsevanos and othersAllin Cornell
ТипPredictive analytics methodologyReliability analysis method
Основополагащ източникVachtsevanos, G., Lewis, F. L., Roemer, M., Hess, A., & Wu, B. (2006). Intelligent Fault Diagnosis and Prognosis for Engineering Systems. Wiley. DOI ↗Cornell, C. A. (1969). A probability-based structural code. Journal of the American Concrete Institute, 66(12), 974-985. DOI ↗
Други названияRUL, Remaining useful life, PHM, Prognostics and Health ManagementFORM, First-order second-moment method
Свързани44
РезюмеPrognostics 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.The First-Order Reliability Method (FORM) is a probabilistic technique for estimating the probability of structural failure given uncertain input parameters. Developed by Allin Cornell in 1969 and refined by Hasofer and Lind in 1974, FORM provides a computationally efficient approximation to the true failure probability by linearizing the limit-state function at the most probable failure point. It has become the cornerstone of modern structural reliability analysis and risk-based design.
ScholarGateНабор от данни
  1. v1
  2. 4 Източници
  3. PUBLISHED
  1. v1
  2. 4 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: Prognostics and Remaining Useful Life · First-Order Reliability Method. Извлечено на 2026-06-18 от https://scholargate.app/bg/compare