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http://hdl.handle.net/10603/149055
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Mechanical Engineering | |
dc.date.accessioned | 2017-05-12T04:43:31Z | - |
dc.date.available | 2017-05-12T04:43:31Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/149055 | - |
dc.description.abstract | Appendix available | |
dc.format.extent | 207 p. | |
dc.language | English | |
dc.relation | - | |
dc.rights | university | |
dc.title | Vibration and acoustic emission ae based tool condition classification in high speed machining hsm of titanium alloy ti 6al 4v using machine learning algorithms | |
dc.title.alternative | - | |
dc.creator.researcher | Prishnakumar, P | |
dc.subject.keyword | Acoustic | |
dc.subject.keyword | Classification | |
dc.subject.keyword | Condition | |
dc.subject.keyword | Vibration | |
dc.description.note | Appendix p. 192-196, Bibliography 197-207 | |
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 | n.d. | |
dc.date.completed | 2017 | |
dc.date.awarded | n.d. | |
dc.format.dimensions | - | |
dc.format.accompanyingmaterial | None | |
dc.type.degree | Ph.D. | |
dc.source.inflibnet | INFLIBNET | |
Appears in Departments: | Department of Mechanical Engineering (Amrita School of Engineering) |
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