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

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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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  Data: Bayesian Architecture for Predictive Monitoring of Unbalance Faults in a Turbine Rotor-Bearing System.
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  Data: <searchLink fieldCode="AU" term="%22Bera+B%22">Bera B</searchLink>; Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei City 10607, Taiwan.<br /><searchLink fieldCode="AU" term="%22Huang+SC%22">Huang SC</searchLink>; Department of Mechanical Engineering, Ming Chi University of Technology, New Taipei City 24301, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+PT%22">Lin PT</searchLink>; Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei City 10607, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chiu+YJ%22">Chiu YJ</searchLink>; Department of Mechanical Engineering, Ming Chi University of Technology, New Taipei City 24301, Taiwan.<br /><searchLink fieldCode="AU" term="%22Liang+JW%22">Liang JW</searchLink>; Department of Mechanical Engineering, Ming Chi University of Technology, New Taipei City 24301, Taiwan.
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  Data: <searchLink fieldCode="JN" term="%22101204366%22">Sensors (Basel, Switzerland)</searchLink> [Sensors (Basel)] 2024 Dec 19; Vol. 24 (24). <i>Date of Electronic Publication: </i>2024 Dec 19.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101204366 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1424-8220 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214248220%22">14248220 </searchLink><i>NLM ISO Abbreviation: </i>Sensors (Basel) <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
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        Value: 10.3390/s24248123
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      – TitleFull: Bayesian Architecture for Predictive Monitoring of Unbalance Faults in a Turbine Rotor-Bearing System.
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              Text: 2024 Dec 19
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