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Cost-Benefit Quantification of ISHM in Aerospace Systems

[+] Author Affiliations
Christopher Hoyle, Wei Chen

Northwestern University, Evanston, IL

Alexander F. Mehr

NASA Ames Research Center, Moffett Field, CA

Irem Y. Tumer

Oregon State University, Corvallis, OR

Paper No. DETC2007-35412, pp. 975-984; 10 pages
  • ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 2: 27th Computers and Information in Engineering Conference, Parts A and B
  • Las Vegas, Nevada, USA, September 4–7, 2007
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 0-7918-4803-5 | eISBN: 0-7918-3806-4
  • Copyright © 2007 by ASME


Integrated Systems Health Management (ISHM) is an evolving technology used to detect, assess, and isolate faults in complex aerospace systems to improve safety. At the conceptual design level, system-level engineers must make decisions regarding the inclusion of ISHM and the extent and type of the sensing technologies used in various subsystems. In this paper, we propose a Cost-Benefit Analysis approach to initiate the ISHM design process. The key to this analysis is the formulation of an objective function that explicitly quantifies the cost-benefit factors involved with using ISHM technology in various subsystems. Ultimately, to determine the best ISHM system configuration, an objective is formulated, referred to as Profit, which is expressed as the product of system Availability (A) and Revenue per unit Availability (R), minus the sum of Cost of Detection (CD ) and Cost of Risk (CR ). Cost of Detection includes the cost of periodic inspection/maintenance and the cost of ISHM; Cost of Risk quantifies risk in financial terms as a function of the consequential cost of a fault and the probabilities of occurrence and detection. Increasing the ISHM footprint will generally lower Cost of Risk while raising Cost of Detection, while Availability will increase or decrease based upon the balance of the reliability and detectability of the sensors added, versus their ability to reduce total maintenance time. The analysis is conducted at the system functional level, with ISHM allocated to functional blocks in the optimization analysis. The proposed method is demonstrated using a simplified aerospace system design problem resulting in a configuration of sensors which optimizes the cost-benefit of the ISHM system for the given input parameters. In this problem, profit was increased by 11%, inspection interval increased by a factor of 1.5, and cost of risk reduced by a factor of 2.4 over a system with no ISHM.

Copyright © 2007 by ASME



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