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Remaining useful life prediction of bearings under different working conditions using a deep feature disentanglement based transfer learning method
Research article (Reliability Engineering & System Safety, 2021) · cited 103× · AI/ML
Remaining useful life prediction of bearings under different working conditions using a deep feature disentanglement based transfer learning method
Summary
Remaining useful life prediction of bearings under different working conditions using a deep feature disentanglement based transfer learning method is a scholarly article[1].
Key Facts
Remaining useful life prediction of bearings under different working conditions using a deep feature disentanglement based transfer learning method's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Remaining useful life prediction of bearings under different working conditions using a deep feature disentanglement based transfer learning method. Retrieved May 24, 2026, from https://4ort.xyz/entity/remaining-useful-life-prediction-of-bearings-under-different-working-conditions-using-a-deep-feature-disentanglement-bas
MLA“Remaining useful life prediction of bearings under different working conditions using a deep feature disentanglement based transfer learning method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/remaining-useful-life-prediction-of-bearings-under-different-working-conditions-using-a-deep-feature-disentanglement-bas.
BibTeX@misc{4ortxyz_remaining-useful-life-prediction-of-bearings-under-different-working-conditions-using-a-deep-feature-disentanglement-bas_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Remaining useful life prediction of bearings under different working conditions using a deep feature disentanglement based transfer learning method}}, year = {2026}, url = {https://4ort.xyz/entity/remaining-useful-life-prediction-of-bearings-under-different-working-conditions-using-a-deep-feature-disentanglement-bas}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Remaining useful life prediction of bearings under different working conditions using a deep feature disentanglement based transfer learning method — https://4ort.xyz/entity/remaining-useful-life-prediction-of-bearings-under-different-working-conditions-using-a-deep-feature-disentanglement-bas (retrieved 2026-05-24)
