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http://hdl.handle.net/10603/97740
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Mechanical Engineering | |
dc.date.accessioned | 2016-06-20T09:41:14Z | - |
dc.date.available | 2016-06-20T09:41:14Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/97740 | - |
dc.description.abstract | Abstract not available newline newline | |
dc.format.extent | xxv, 169p. | |
dc.language | English | |
dc.relation | No. of references 79 | |
dc.rights | university | |
dc.title | Acoustic emmission based tool wear monitoring using some improved neural network methogdologies | |
dc.title.alternative | - | |
dc.creator.researcher | Srinivasa Pai, P | |
dc.subject.keyword | Tool wear/failure, Data acquisition, Acoustic emission, Muhiple network fusion, Algorithm | |
dc.description.note | Bibliography p. 156-162, Appendix p. 163-169 | |
dc.contributor.guide | Ramakrisnna Rao, P K and Nagabhushana, T N | |
dc.publisher.place | Mysore | |
dc.publisher.university | University of Mysore | |
dc.publisher.institution | Department of Mechanical Engineering | |
dc.date.registered | n.d. | |
dc.date.completed | 2001 | |
dc.date.awarded | n.d. | |
dc.format.dimensions | - | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Mechanical Engineering |
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