Fault diagnosis of dynamic multi-variate chemical processes using pattern recognition, and smooth representation of trend by a wavelet-based technique

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dc.contributor.advisorBishnoi, Prithwi R.
dc.contributor.authorAkbaryan, Fardin
dc.date.accessioned2005-08-08T20:49:39Z
dc.date.available2005-08-08T20:49:39Z
dc.date.issued2000
dc.descriptionBibliography: p.202-213.en
dc.format.extentxx, 242 leaves ; ill. ; 30 cm.en
dc.identifier.citationAkbaryan, F. (2000). Fault diagnosis of dynamic multi-variate chemical processes using pattern recognition, and smooth representation of trend by a wavelet-based technique (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/11625en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/11625
dc.identifier.isbn0612647900en
dc.identifier.lccTP155.75 .A39 2000en
dc.identifier.urihttp://hdl.handle.net/1880/40695
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subject.lccTP155.75 .A39 2000en
dc.subject.lcshChemical process control - Mathematical models
dc.subject.lcshFault location (Engineering)
dc.subject.lcshPattern recognition systems
dc.subject.lcshWavelets (Mathematics)
dc.titleFault diagnosis of dynamic multi-variate chemical processes using pattern recognition, and smooth representation of trend by a wavelet-based technique
dc.typedoctoral thesis
thesis.degree.disciplineChemical and Petroleum Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.item.requestcopytrue
ucalgary.thesis.accessionTheses Collection 58.002:Box 1233 520680250
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
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