Bayesian Architecture for Predictive Monitoring of Unbalance Faults in a Turbine Rotor-Bearing System.

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Bibliographic Details
Title: Bayesian Architecture for Predictive Monitoring of Unbalance Faults in a Turbine Rotor-Bearing System.
Authors: Bera B; Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei City 10607, Taiwan., Huang SC; Department of Mechanical Engineering, Ming Chi University of Technology, New Taipei City 24301, Taiwan., Lin PT; Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei City 10607, Taiwan., Chiu YJ; Department of Mechanical Engineering, Ming Chi University of Technology, New Taipei City 24301, Taiwan., Liang JW; Department of Mechanical Engineering, Ming Chi University of Technology, New Taipei City 24301, Taiwan.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Dec 19; Vol. 24 (24). Date of Electronic Publication: 2024 Dec 19.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:1424-8220
DOI:10.3390/s24248123