Date of Award

Winter 2003

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Engineering Management & Systems Engineering

Committee Director

Resit Unal

Committee Member

Andres Sousa-Poza

Committee Member

Charles Keating

Committee Member

Bruce Conway

Abstract

The purpose of this research is to develop a decision support system that can assist in detecting partial failures in dynamic systems such as Fire Control System Tracking Radar (TR) onboard Naval Ships. Partial failures do not necessarily shut down the system immediately but cause degradation of operational performance. Previous work has shown that experts in the field of failure detection, test point insertion and Built-In-Test Equipment (BITE) can provide useful input in detecting partial failures. Partial failures affect operational system performance and support costs, which can be significant. Often, however, partial failure detection consists of the estimations and opinions of the experts. This has not been addressed adequately in the literature. It is postulated that the approach developed in this research could be applied to maintain and monitor partial failure. The development of such a testing aid is the thrust of this research effort. Markov chains, k-out-of-n: G: system and critical path tracing techniques, among others are employed. Appropriate survey questionnaires are used for validation of the resulting test model. Application of previous test point insertion techniques are applied as a part of system comparison and assessment.

DOI

10.25777/s3fw-5838

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