Optimizing prior distribution parameters for probabilistic prediction of remaining useful life using deep learning

Author:

Keshun You,Guangqi Qiu,Yingkui Gu

Funder

Natural Science Foundation of Jiangxi Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference45 articles.

1. Selected prognostic indicator for bearings remaining useful life prediction with genetic algorithm and Weibull proportional hazards model;Guangqi;Measurement,2020

2. A failure analysis of floating offshore wind turbines using AHP-FMEA methodology;Li;Ocean Eng,2021

3. Machinery health prognostics: a systematic review from data acquisition to RUL prediction;Lei;Mech Syst Signal Process,2018

4. An efficient lightweight neural network using BiLSTM-SCN-CBAM with PCA-ICEEMDAN for diagnosing rolling bearing faults;Keshun;Meas Sci Technol,2023

5. Remaining useful life prediction of aero-engine enabled by fusing knowledge and deep learning models;Li;Reliab Eng Syst Saf,2023

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