NASA’s Ames Research center is currently designing a testbed to validate and compare potential Integrated System Health Management (ISHM) technologies. The proposed testbed represents a typical power system for a spacecraft and includes components such as a fuel cell, solar cells and redundant batteries. To fulfill design requirements, the testbed must be capable of hosting a wide variety of ISHM technologies including those developed by NASA as well as those developed in the aerospace industry abroad. An internal fault injection subsystem must be built into the system to provide a common interface for evaluating these different ISHM technologies. Additionally, to ensure robust operation of the testbed, the capability to detect and manage external faults must also be present. In order to develop a set of requirements for the internal fault injection subsystems as well as predict external faults, a comprehensive set of potential failures must be identified for all of the components of the testbed. To best aid the development of the testbed, these failures needed to be identified as early as the conceptual design phase, where little is known about the actual components that would comprise the finished system. This paper demonstrates the use a function-based failure mode identification method to identify the potential failures of the testbed during the conceptual design phase. Using this approach, designers can explore the potential failure modes at the functional design stage, before a form or solution has been determined. A function-failure database is used to associate the failures of components from previous design efforts to the testbed based on common functionality. The result is a list of potential failure modes and associated failure rates, which are used to improve the design of the testbed as well as provide a framework for the fault injection subsystem.

1.
Hundal
M.
(
1990
), “
A Systematic Method for Developing Function Structures, Solutions and Concept Variants
,”
Mechanism and Machine Theory
,
25
, pp.
243
256
.
2.
Hubka, V. and Ernst Eder, W. (1984), Theory of Technical Systems, Springer-Verlag, Berlin.
3.
Murdock, J., Szykman, S., and Sriram, R. (1997), “An Information Modeling Framework to Support Design Databases and Repositories,” Proceedings of DETC’97, DETC97/DFM-4373, Sacramento, CA.
4.
Lai
K.
and
Wilson
W.
(
1989
), “
FDL - A Language for Function Description and Rationalization in Mechanical Design
,”
Journal of Mechanics, Transmissions, and Automation in Design
,
111
, pp.
117
123
.
5.
Iwasaki, Y., Vescovi, M., Fikes, R., and Chandrasekaran, B. (1995), “Casual Functional Representation Language with Behavior-Based Semantics,” Applied Artificial Intelligence, 9.
6.
Umeda
Y.
and
Tomiyama
T.
(
1997
), “
Functional Reasoning in Design
,”
IEEE Expert Intelligent Systems and Their Applications
,
12
, pp.
42
48
.
7.
Miles, L. (1972), Techniques of Value Analysis Engineering, McGraw-Hill, New York.
8.
Akiyama, K. (1991), Function Analysis: Systematic Improvement of Quality Performance, Productivity Press.
9.
(Value Analysis Incorporated), V. A. I. (1993), Value Analysis, Value Engineering, and Value Management, Clifton Park, New York.
10.
Collins
J. A.
,
Hagan
B. T.
, and
Bratt
H. M.
(
1976
), “
The Failure-Experience Matrix: A Useful Design Tool
,”
Journal of Engineering for Industry
,
98
, pp.
1074
1079
.
11.
Modarres, M. (1997), “A Functional Classification Based on Conservation Principles,” Proceedings of the Fifth International Workshop on Functional Modeling of Complex Technical Systems, Paris-Troyes.
12.
Amoussou, G., Vicarini, M., Rohmer, S., and Barros, L. (1997), “Application of TROPOS Functional Model to a Maintenance System of a Nuclear Plant,” Proceedings of the Fifth International Workshop on Functional Modeling of Complex Technical Systems, Paris-Troyes, France.
13.
Vicarini, M. (1995), “Mesurer pour simplifier,” L’Informatique Professionnelle, Paris, France.
14.
Szykman, S., Racz, J., and Sriram, R. (1999), “The Representation of Function in Computer-Based Design,” Proceedings of the ASME Design Theory and Methodology Conference, DETC99/DTM-8742, Las Vegas, NV.
15.
Hirtz
J.
,
Stone
R.
,
McAdams
D.
,
Szykman
S.
and
Wood
K.
(
2002
), “
A Functional Basis for Engineering Design: Reconciling and Evolving Previous Efforts
,”
Research in Engineering Design
,
13
(
2
):
65
82
.
16.
Stone
R.
and
Wood
K.
(
2000
), “
Development of a Functional Basis for Design
,”
Journal of Mechanical Design
,
122
(
4
):
359
370
.
17.
Otto, K. and Wood, K. (2001), Product Design: Techniques in Reverse Engineering, Systematic Design, and New Product Development, New York, Prentice-Hall.
18.
Ulrich, K. and Eppinger, S. (1995), Product Design and Development, McGraw-Hill, New York, NY.
19.
Ullman, D. (2002), The Mechanical Design Process 3rd Edition, McGraw-Hill, Inc., New York, NY.
20.
Stone
R.
,
Wood
K.
and
Crawford
R.
(
2000
), “
A Heuristic Method for Identifying Modules for Product Architectures
,”
Design Studies
,
21
(
1
):
5
31
.
21.
Stock, M. E., Stone, R. B. and Tumer, I. Y. (2005), “Linking Product Function to Historical Failures to Improve Failure Analysis in Design,” Research in Engineering Design.
22.
Collins, J. (1993). Failure of materials in mechanical design: analysis, prediction, prevention. Wiley Interscience.
23.
Arunajadai, S., Stone, R. and Tumer, I. (2002), “A Framework for Creating a Function-Based Design Tool for Failure Mode Identification,” Proceedings of the ASME Design Engineering Technical Conference, DETC2002/DTM-34018, Montreal, Canada.
24.
Uder, S. J., Stone, R. B. and Tumer, I. Y. (2005), “Development of a Failure Mode Vocabulary and Knowledge Base to Aid in Conceptual Design of Spacecraft Systems,” Journal of Mechanical Design.
This content is only available via PDF.
You do not currently have access to this content.