Showing 1 - 20 results of 24 for search 'ELECTRICAL MACHINES', query time: 0.79s Refine Results
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    by Farzin Piltan, Jong-Myon Kim
    Published 2021-05-01
    ...In this study, the application of an intelligent digital twin integrated with machine learning...
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    Article
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    ...Efficient fault diagnosis of electrical and mechanical anomalies in induction motors (IMs...
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    Article
  5. 5
    by Rafia Nishat Toma, Jong-Myon Kim
    Published 2020-07-01
    ... to undertook maintenance operation in an efficient manner. This paper presents an ensemble machine learning...
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    Article
  6. 6
    ... motors using two-dimensional (2D) texture features and a multiclass support vector machine (MCSVM...
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    Subjects: ...one against on multiclass support vector machine...
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  14. 14
    by Farzin Piltan, Jong-Myon Kim
    Published 2020-05-01
    Subjects: ...support vector machine fault classification...
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    Article
  15. 15
    by Muhammad Sohaib, Cheol-Hong Kim, Jong-Myon Kim
    Published 2017-12-01
    ... machines. It can reduce economical losses by eliminating unexpected downtime in industry due to failure...
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    Article
  16. 16
    ... of rub-impact faults in rotating machines is ensemble empirical mode decomposition (EEMD). Despite...
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    Article
  17. 17
    by Bach Phi Duong, Jong-Myon Kim
    Published 2018-04-01
    ... on support vector machines (SVMs). The NMEC-DNN yields better diagnostic performance in comparison...
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    Article
  18. 18
    ...Centrifugal pumps are important types of electro-mechanical machines used for fluid and energy...
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    Article
  19. 19
    by Farzin Piltan, Jong-Myon Kim
    Published 2018-04-01
    ... and safe operation of machines. This paper presents a reliable model-reference observer technique for FDD...
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    Article
  20. 20
    ... experimental testbed. The multi-class support vector machine in the one-against-all method is established...
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    Article