Particle Learning and Gated Recurrent Neural Network for Online Tool Wear Diagnosis and Prognosis.

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dc.contributor.advisorBinil Starly, Chair
dc.contributor.advisorNegash Medhin, Graduate School Representative
dc.contributor.advisorYuan-Shin Lee, Member
dc.contributor.advisorPaul Cohen, Member
dc.contributor.advisorXipeng Shen, Minor
dc.contributor.authorZhang, Jianlei
dc.date.accepted2017-10-20
dc.date.accessioned2017-10-21T12:32:57Z
dc.date.available2017-10-21T12:32:57Z
dc.date.defense2017-10-09
dc.date.issued2017-10-09
dc.date.released2017-10-21
dc.date.reviewed2017-10-13
dc.date.submitted2017-10-09
dc.degree.disciplineIndustrial Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg7323
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.20/34671
dc.rights
dc.titleParticle Learning and Gated Recurrent Neural Network for Online Tool Wear Diagnosis and Prognosis.

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