Predicting the remaining useful life of rolling element bearings using locally linear fusion regression
Author:
Affiliation:
1. Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, China
2. School of Software Engineering, Chongqing University, Chongqing, China
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference51 articles.
1. Condition monitoring and faultdiagnosis of planetary gearboxes: A review;Lei;Measurement,2014
2. Probabilistic frequency-domain discretewavelet transform for better detection of bearing faults ininduction motors;Ghods;Neurocomputing,2016
3. A review on data-drivenfault severity assessment in rolling bearings;Cerrada;MechanicalSystem and Signal Processing,2018
4. Prognostic modelling optionsfor remaining useful life estimation by industry;Sikorska;Me-chanicalSystems and Signal Processing,2011
5. An equivalent cyclic energy indicator forbearing performance degradation assessment;Wang;Journal of Vibration and Control,2016
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2. Transfer Deep Learning Network for Rolling Bearing Fault Diagnosis of Wind Turbines;Journal of Physics: Conference Series;2023-05-01
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