Show simple item record

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.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.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

Files in this item


This item appears in the following Collection(s)

Show simple item record