Diagnosing Localized and Distributed Bearing Faults by Bearing Noise Signal Using Machine Learning and Kurstogram | Zendy

Kanagasundram Jathursajan | Zendy; Akila Wijethunge | Zendy

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Diagnosing Localized and Distributed Bearing Faults by Bearing Noise Signal Using Machine Learning and Kurstogram

Author(s) -

Kanagasundram Jathursajan,

Akila Wijethunge

Publication year - 2022

Publication title -

advances in technology

Language(s) - English

Resource type - Journals

ISSN - 2773-7098

DOI - 10.31357/ait.v2i2.5475

Subject(s) - bearing (navigation) , downtime , vibration , condition monitoring , fast fourier transform , signal (programming language) , fault (geology) , noise (video) , computer science , magnetic bearing , signal processing , rolling element bearing , thrust bearing , acoustics , structural engineering , engineering , electronic engineering , algorithm , reliability engineering , artificial intelligence , geology , radar , seismology , mechanical engineering , telecommunications , electrical engineering , physics , magnet , image (mathematics) , programming language , thrust

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