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Remaining Useful Life Prediction for a Multi-Component System with Degradation Interactions

عنوان مقاله: Remaining Useful Life Prediction for a Multi-Component System with Degradation Interactions
شناسه ملی مقاله: JR_IJRRS-6-1_004
منتشر شده در در سال 1402
مشخصات نویسندگان مقاله:

Mahdiyeh Kalaei - Department of Industrial Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran
Mohammad Ali Saniee Monfared - Department of Industrial Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran

خلاصه مقاله:
Remaining useful life (RUL) prediction is crucial in prognostics and health management (PHM) systems. The primary objective is to forecast the time to failure (TTF) or anticipate the RUL of a system. In real industrial cases, systems typically consist of multiple components that can affect each other, and ignoring these dependencies when modeling PHM systems can lead to erroneous RUL predictions and ineffective maintenance planning. Recognizing this, the focus of this paper is on the prognostics of multi-component systems, where the degradation processes of the system are influenced by both internal factors specific to the components and external factors related to the environment.

کلمات کلیدی:
multi-component system, prognostic, Degradation modeling, remaining useful life prediction

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1832043/