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.
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September 1996
Research Papers
Diagnostic Modeling and Diagnosability Evaluation of Mechanical Systems
R. K. Paasch
R. K. Paasch
Department of Mechanical Engineering, Oregon State University, Corvallis, OR
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G. E. Clark
Hewlett Packard, Corvallis, OR
R. K. Paasch
Department of Mechanical Engineering, Oregon State University, Corvallis, OR
J. Mech. Des. Sep 1996, 118(3): 425-431 (7 pages)
Published Online: September 1, 1996
Article history
Received:
September 1, 1994
Revised:
January 1, 1996
Online:
December 11, 2007
Citation
Clark, G. E., and Paasch, R. K. (September 1, 1996). "Diagnostic Modeling and Diagnosability Evaluation of Mechanical Systems." ASME. J. Mech. Des. September 1996; 118(3): 425–431. https://doi.org/10.1115/1.2826903
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