Home ›
Entities
› academia
› Diversity entropy-based Bayesian deep learning method for uncertainty quantification of remaining useful life prediction in rolling bearings
Diversity entropy-based Bayesian deep learning method for uncertainty quantification of remaining useful life prediction in rolling bearings
Research article (Journal of Vibration and Control, 2022) · cited 13× · AI/ML
Diversity entropy-based Bayesian deep learning method for uncertainty quantification of remaining useful life prediction in rolling bearings
Summary
Diversity entropy-based Bayesian deep learning method for uncertainty quantification of remaining useful life prediction in rolling bearings is a scholarly article[1].
Key Facts
Diversity entropy-based Bayesian deep learning method for uncertainty quantification of remaining useful life prediction in rolling bearings's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Diversity entropy-based Bayesian deep learning method for uncertainty quantification of remaining useful life prediction in rolling bearings. Retrieved May 24, 2026, from https://4ort.xyz/entity/diversity-entropy-based-bayesian-deep-learning-method-for-uncertainty-quantification-of-remaining-useful-life-prediction
MLA“Diversity entropy-based Bayesian deep learning method for uncertainty quantification of remaining useful life prediction in rolling bearings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/diversity-entropy-based-bayesian-deep-learning-method-for-uncertainty-quantification-of-remaining-useful-life-prediction.
BibTeX@misc{4ortxyz_diversity-entropy-based-bayesian-deep-learning-method-for-uncertainty-quantification-of-remaining-useful-life-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Diversity entropy-based Bayesian deep learning method for uncertainty quantification of remaining useful life prediction in rolling bearings}}, year = {2026}, url = {https://4ort.xyz/entity/diversity-entropy-based-bayesian-deep-learning-method-for-uncertainty-quantification-of-remaining-useful-life-prediction}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Diversity entropy-based Bayesian deep learning method for uncertainty quantification of remaining useful life prediction in rolling bearings — https://4ort.xyz/entity/diversity-entropy-based-bayesian-deep-learning-method-for-uncertainty-quantification-of-remaining-useful-life-prediction (retrieved 2026-05-24)