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Keywords: bidirectional long short-term memory
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Journal Articles

Unsupervised Domain Deep Transfer Learning Approach for Rolling Bearing Remaining Useful Life Estimation

Maan Singh Rathore, S. P. Harsha
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2024, 24(2): 021002.
Paper No: JCISE-22-1239
https://doi.org/10.1115/1.4062731
Published Online: July 13, 2023
... with state-of-art domain adaptation methods and without the transfer learning model. The proposed TSBiLSTM transfer learning model effectively utilizes different deep learning models to accurately predict bearing RUL. remaining useful life bidirectional long short-term memory condition...
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Topics: Bearings, Service life (Equipment), Errors, Rolling bearings