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Tool Wear Estimation from Acoustic Emissions: A Model Incorporating Wear Rate

dc.contributor.advisorBaras, John S.en_US
dc.contributor.authorVarma, S.en_US
dc.contributor.authorBaras, John S.en_US
dc.date.accessioned2007-05-23T10:11:49Z
dc.date.available2007-05-23T10:11:49Z
dc.date.issued2001en_US
dc.identifier.urihttp://hdl.handle.net/1903/6258
dc.description.abstractAlmost all prior work on modeling the dependence of acoustic emissions on tool wear have concentrated on the effect of wear-level on the sound. We give justification for including the wear-rate information contained in the sound to improve estimation of wear. A physically plausible model is proposed which results in a Hidden Markov Model (HMM) whose hidden states are the wear level and rate and observations are the feature vectors extracted from the sound. We also present an efficient method for picking feature vectors that are most useful for the classification problem.en_US
dc.format.extent131382 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 2001-49en_US
dc.relation.ispartofseriesCAAR; TR 2001-2en_US
dc.subjectSensor-Actuator Networksen_US
dc.titleTool Wear Estimation from Acoustic Emissions: A Model Incorporating Wear Rateen_US
dc.typeTechnical Reporten_US
dc.contributor.departmentISRen_US
dc.contributor.departmentCAARen_US


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