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Old Dominion University

Developing a Methodology to Detect Partial Failures for Dynamic Systems

Abstract

dc:description.abstract

<p>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.</p>

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy (PhD)
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Engineering Management & Systems Engineering
Year dc:date.available
2003

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Al-jowder, Anwar A.
Contributors dc:contributor
  • Resit Unal
  • Andres Sousa-Poza
  • Charles Keating
  • Bruce Conway

Subjects

dc:subject × 7

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.odu.edu/emse_etds/39
OAI identifier oai:identifier
oai:digitalcommons.odu.edu:emse_etds-1039

Chain of custody

source
Harvested from
Old Dominion University
Base URL
digitalcommons.odu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Al-jowder, Anwar A.. Developing a Methodology to Detect Partial Failures for Dynamic Systems. Dissertation thesis, 2003. https://digitalcommons.odu.edu/emse_etds/39