Return to search

Diagnostic modeling and diagnosability evaluation of mechanical systems

Consideration of diagnosability in product design promises to increase product
quality by reducing maintenance time without increasing cost or decreasing reliability.
Methods for investigating the diagnosability of mechanical and electro-mechanical
systems are described and are applied to the Bleed Air Control System (BACS) on the
Boeing 747-400. The BACS is described and a diagnostic model is developed using
information from the system Failure Modes and Effects Analysis. Emphasis is placed
on the relationships between the system's functions and its components. Two metrics
for the evaluation of system diagnosability and two metrics for the evaluation of
component diagnosability are defined. These metrics emphasize diagnostic ambiguity
and are combined with the probability of different system failures to weight the effects
of each failure. Three modified systems are produced by reassigning functions from one
component to another. The resulting effects on the system and component
diagnosability are evaluated. We show that by changing these relationships system
diagnosability can be improved without adding sensors or other components. / Graduation date: 1994

Identiferoai:union.ndltd.org:ORGSU/oai:ir.library.oregonstate.edu:1957/35650
Date23 November 1993
CreatorsClark, Garrett E.
ContributorsPaasch, Robert
Source SetsOregon State University
Languageen_US
Detected LanguageEnglish
TypeThesis/Dissertation

Page generated in 0.0019 seconds