Prediction of Remaining useful life of Rolling Bearing using Hybrid DCNN-BiGRU Model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Microbiology (medical),Immunology,Immunology and Allergy
Link
https://link.springer.com/content/pdf/10.1007/s42417-022-00620-x.pdf
Reference38 articles.
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2. Delpha C, Diallo D, Youssef A (2017) Kullback-Leibler divergence for fault estimation and isolation: application to gamma distributed data. Mech Syst Signal Process 93:118–135
3. Glowacz A (2019) Acoustic fault analysis of three commutator motors. Mech Syst Signal Process 133:106226
4. Glowacz A, Glowacz W, Kozik J, Piech K, Gutten M, Caesarendra W, Khan ZF (2019) Detection of deterioration of three-phase induction motor using vibration signals. Measur Sci Rev 19(6):241–249
5. Qin Y, Li C, Cao F, Chen H (2020) A fault dynamic model of high-speed angular contact ball bearings. Mech Mach Theory 143:103627
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