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http://hdl.handle.net/10603/230543
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2019-03-01T08:20:03Z | - |
dc.date.available | 2019-03-01T08:20:03Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/230543 | - |
dc.description.abstract | attached newline | |
dc.format.extent | XII, 203 | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Machine Learning approach to fault diagnosis of roller bearings | |
dc.title.alternative | ||
dc.creator.researcher | Sugumaran V | |
dc.subject.keyword | Engineering and Technology,Engineering,Engineering Mechanical | |
dc.subject.keyword | Machine learning; Wear debris; Acoustic emission; fault diagnosis; Accelerometers; Wear ; vibration; Artificial neural networks (ANN); | |
dc.description.note | ||
dc.contributor.guide | Ramachandran K.I | |
dc.publisher.place | Coimbatore | |
dc.publisher.university | Amrita Vishwa Vidyapeetham (University) | |
dc.publisher.institution | Dept. of Mechanical Engineering | |
dc.date.registered | 30/09/2004 | |
dc.date.completed | Nov 2007 | |
dc.date.awarded | 29/12/2008 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | CD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Mechanical Engineering (Amrita School of Engineering) |
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