Selection of efficient degradation features for rolling element bearing prognosis using Gaussian Process Regression method

Research article (ISA Transactions, 2020) · cited 63× · AI/ML
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Selection of efficient degradation features for rolling element bearing prognosis using Gaussian Process Regression method

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Selection of efficient degradation features for rolling element bearing prognosis using Gaussian Process Regression method is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Selection of efficient degradation features for rolling element bearing prognosis using Gaussian Process Regression method. Retrieved May 24, 2026, from https://4ort.xyz/entity/selection-of-efficient-degradation-features-for-rolling-element-bearing-prognosis-using-gaussian-process-regression-meth
MLA “Selection of efficient degradation features for rolling element bearing prognosis using Gaussian Process Regression method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/selection-of-efficient-degradation-features-for-rolling-element-bearing-prognosis-using-gaussian-process-regression-meth.
BibTeX @misc{4ortxyz_selection-of-efficient-degradation-features-for-rolling-element-bearing-prognosis-using-gaussian-process-regression-meth_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Selection of efficient degradation features for rolling element bearing prognosis using Gaussian Process Regression method}}, year = {2026}, url = {https://4ort.xyz/entity/selection-of-efficient-degradation-features-for-rolling-element-bearing-prognosis-using-gaussian-process-regression-meth}, note = {Accessed: 2026-05-24}}
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