An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery

Research article (Padua Research Archive (University of Padova), 2022) · cited 317× · AI/ML
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An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery

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An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-explainable-artificial-intelligence-approach-for-unsupervised-fault-detection-and-diagnosis-in-rotating-machinery
MLA “An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-explainable-artificial-intelligence-approach-for-unsupervised-fault-detection-and-diagnosis-in-rotating-machinery.
BibTeX @misc{4ortxyz_an-explainable-artificial-intelligence-approach-for-unsupervised-fault-detection-and-diagnosis-in-rotating-machinery_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery}}, year = {2026}, url = {https://4ort.xyz/entity/an-explainable-artificial-intelligence-approach-for-unsupervised-fault-detection-and-diagnosis-in-rotating-machinery}, note = {Accessed: 2026-05-24}}
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