Data-driven approach for control performance monitoring and fault diagnosis

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dc.contributor.advisor Qin , S . Joe en_US
dc.identifier.oclc 166586703 en_US
dc.creator Yu , Jie en_US
dc.date.accessioned 2008 -08 -28T23 :27 :28Z
dc.date.accessioned 2014 -02 -19T22 :32 :34Z
dc.date.available 2008 -08 -28T23 :27 :28Z
dc.date.available 2014 -02 -19T22 :32 :34Z
dc.date.created 2007 en_US
dc.date.issued 2008 -08 -28T23 :27 :28Z
dc.identifier.uri http : / /hdl .handle .net /2152 /3099
dc.description.abstract Not available en_US
dc.format.medium electronic en_US
dc.language.iso eng en_US
dc.rights Copyright © is held by the author . Presentation of this material on the Libraries' web site by University Libraries , The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works . en_US
dc.subject.lcsh Quality control - -Statistical methods en_US
dc.subject.lcsh Fault location (Engineering ) - -Statistical methods en_US
dc.subject.lcsh Analysis of covariance en_US
dc.subject.lcsh Analysis of variance en_US
dc.subject.lcsh Eigenvalues en_US
dc.title Data -driven approach for control performance monitoring and fault diagnosis en_US
dc.description.department Chemical Engineering en_US
dc.identifier.recnum b6867465x en_US
dc.type.genre Thesis en_US
dc.type.material text en_US
thesis.degree.name Doctor of Philosophy en_US
thesis.degree.level Doctoral en_US
thesis.degree.discipline Chemical Engineering en_US
thesis.degree.grantor The University of Texas at Austin en_US
thesis.degree.department Chemical Engineering en_US

Citation

Data-driven approach for control performance monitoring and fault diagnosis. Doctoral dissertation, The University of Texas at Austin. Available electronically from http : / /hdl .handle .net /2152 /3099 .

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