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dc.contributor.advisorMark A. Kramer.en_US
dc.contributor.authorRojas-Guzmán, Carlosen_US
dc.date.accessioned2005-08-17T12:00:00Zen_US
dc.date.available2005-08-17T12:00:00Zen_US
dc.date.copyright1995en_US
dc.date.issued1995en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/11759
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1995.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.description.statementofresponsibilityby Carlos Rojas-Guzmán.en_US
dc.format.extent2 v. (398 p.)en_US
dc.format.extent26762407 bytes
dc.format.extent26762161 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectChemical Engineeringen_US
dc.titleAn evolutionary programming approach to probabilistic model-based fault diagnosis of chemical processesen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineering
dc.identifier.oclc32585644en_US


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