Optimal troubleshooting plan for a complex electro-mechanical system Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/7w62fc72p

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  • The decision sequences used for troubleshooting of complex electro-mechanical systems are often ad hoc and less than optimal. This research investigated Decision Analysis and Bayesian Networks for generating an optimal decision sequence for troubleshooting. The model that was used in this research was the bleed air control system of the Boeing 737 aircraft. The focus of this research, therefore is two-fold. First the construction of behavioral models and multistage decision-making models in Bayesian networks was proposed. Secondly, an efficient, easy-to-implement algorithm was developed to obtain a near optimal decision sequence. This algorithm can be readily adopted by the maintenance personnel for effective troubleshooting.
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  • File scanned at 300 ppi (Monochrome) using Capture Perfect 3.0.82 on a Canon DR-9080C in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
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  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2012-06-21T20:44:56Z (GMT) No. of bitstreams: 1 DugriParthsarathy2004.pdf: 661221 bytes, checksum: 02eac7bdaf30f0c3c25f8d777c557cd9 (MD5)
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2012-06-21T20:47:01Z (GMT) No. of bitstreams: 1 DugriParthsarathy2004.pdf: 661221 bytes, checksum: 02eac7bdaf30f0c3c25f8d777c557cd9 (MD5)
  • description.provenance : Made available in DSpace on 2012-06-21T20:47:01Z (GMT). No. of bitstreams: 1 DugriParthsarathy2004.pdf: 661221 bytes, checksum: 02eac7bdaf30f0c3c25f8d777c557cd9 (MD5) Previous issue date: 2004-03-17
  • description.provenance : Submitted by Kevin Martin (martikev@onid.orst.edu) on 2012-06-20T19:38:21Z No. of bitstreams: 1 DugriParthsarathy2004.pdf: 661221 bytes, checksum: 02eac7bdaf30f0c3c25f8d777c557cd9 (MD5)

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