Diagnostic Modeling and Diagnosability Evaluation of Mechanical Systems

[+] Author and Article Information
G. E. Clark

Hewlett Packard, Corvallis, OR

R. K. Paasch

Department of Mechanical Engineering, Oregon State University, Corvallis, OR

J. Mech. Des 118(3), 425-431 (Sep 01, 1996) (7 pages) doi:10.1115/1.2826903 History: Received September 01, 1994; Revised January 01, 1996; Online December 11, 2007


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.

Copyright © 1996 by The American Society of Mechanical Engineers
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