This paper discuses a methodology for improving quality and reducing life cycle costs of mechanical systems. The principal concept is that a system can be designed, in the conceptual stages, to be easier to diagnose for failures. To perform this, functional decomposition and form-to-function mapping are utilized to demonstrate the relation of design to diagnosis and for diagnosis itself. Four diagnosability metrics are developed and four hypothetical conceptual designs are evaluated for diagnosability and compared. An example is presented wherein three conceptual designs for a toolhead positioning system are evaluated for diagnosability at two levels of abstraction and the results compared. The area of design for diagnosis offers promise in improving system quality and reducing life cycle cost; research is continuing to refine and integrate the procedures with other aspects of the concurrent engineering design process.

1.
Bellinger, D. Q., 1988, “Failure Analysis Techniques and Applications,” Handbook of Reliability Engineering and Management, Ireson, W. G. and Coombs, C. F. Jr., eds., McGraw-Hill, New York.
2.
Bozic, S., and Shaw, L., 1985, “Is BIT a Toy, Blessing, or Annoyance?” Proceedings, Annual Reliability and Maintainability Symposium, 1985, pp. 270–75, Institute of Electrical and Electronics Engineers, New York.
3.
CALS, 1989, CALS Industry Steering Group, Application of Concurrent Engineering to Mechanical System Design, Final Report of the Reliability and Maintainability Mechanical Design Group, CALS Technical Report 002, Sigma Plus, Fairfax, Virginia, June, 1989.
4.
Cook, T. N., and Ariano, J., 1980, “Analysis of Fault Isolation Criteria/Techniques,” Proceedings, Annual Reliability and Maintainability Symposium, 1980, pp. 29–37, Institute of Electrical and Electronics Engineers, New York.
5.
de Benito
C. D.
, and
Eckert
S. J.
,
1990
, “
Control of Active Suspension System Subject to Random Component Failures
,”
ASME Journal of Dynamic Systems, Measurement, and Control
, Vol.
112
, pp.
94
99
, March, 1990.
6.
deKleer
Johan
, and
Williams
Brian C.
,
1987
, “
Diagnosing Multiple Faults
,”
Artificial Intelligence
, Vol.
32
, pp.
97
130
.
7.
DoD Handbook 791, 1988, Maintainability Design Techniques, Department of Defense, Washington, D.C.
8.
Harmon, D., and King, 1985, Expert Systems, John Wiley and Sons, New York.
9.
Jones, James V., 1988, Engineering Design: Reliability, Maintainability, and Testability, TAB Books, Blue Ridge Summit, Pennsylvania.
10.
Kapur, K. C., 1988, “Techniques of Estimating Reliability at Design Stage,” Handbook of Reliability Engineering and Management, Ireson, W. G. and Coombs, C. F. Jr., eds., McGraw-Hill, New York.
11.
Lockner
P.
, and
Hancock
P.
,
1990
, “
Redundancy in Fault Tolerant Systems
,”
Mechanical Engineering
, Vol.
112
, No.
5
, pp.
76
83
, May, 1990.
12.
Paasch, R. K., and Agogino, A. M., 1991, “Management of Uncertainty in the Multi-Level Monitoring and Diagnosis of the Time of Flight Scintillation Array,” Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence, Los Angeles, California, pp. 257–263, July, 1991.
13.
Raheja, Dev G., 1991, Assurance Technologies, McGraw-Hill, New York.
14.
Ribbens, W. B., and Rizzoni, G., 1990, “Onboard Diagnosis of Engine Misfires,” SAE paper no. 901768, presented at the 1990 Passenger Car Meeting and Exposition, Dearborn, Michigan, September, 1990.
15.
Scarl
E.
,
Jamieson
J. R.
, and
Delaune
C. I.
,
1987
, “
Diagnosis and Sensor Validation through Knowledge of Structure and Function
,”
IEEE Transactions on Systems, Man and Cybernetics
, Vol.
17
, No.
3
, pp.
360
368
.
16.
Smith, D., and Babb, A., 1973, Maintainability Engineering, John Wiley and Sons, New York.
17.
Stander, Carvel, 1982, “Fault Isolation BITE for Increased Productivity,” Proceedings, Annual Reliability and Maintainability Symposium, 1982, pp. 365–369, Institute of Electrical and Electronics Engineers, New York.
18.
Suh, N. P., 1990, The Principles of Design, Oxford Press, New York.
19.
Toms
M.
, and
Patrick
J.
,
1989
, “
Components of Fault Finding: Symptom Interpretation
,”
Human Factors
, Vol.
31
, no.
4
, pp.
465
483
.
20.
Ullman, D. G., 1992, The Mechanical Design Process, McGraw-Hill, New York.
21.
Umeda, Y., Tomiyama, T., Yoshikawa, H., 1991, “A Design Methodology for a Self-Maintenance Machine,” Design Theory and Methodology—DTM ’91, DE-Vol. 31, pp. 143–150, American Society of Mechanical Engineers, New York.
22.
Will, Peter M., 1991, “Simulation and Modeling in Early Concept Design: An Industrial Perspective,” Research in Engineering Design, Vol. 3, pp. 1–13, Springer Verlag, New York, 1991.
This content is only available via PDF.
You do not currently have access to this content.