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. / Graduation date: 2004
| Identifer | oai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/30053 |
| Date | 17 March 2004 |
| Creators | Durgi, Parthsarathy |
| Contributors | Paasch, Robert K. |
| Source Sets | Oregon State University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis/Dissertation |
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