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Developing a methodology to detect p...

Al-jowder, Anwar A.

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Developing a methodology to detect partial failures for dynamic systems.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Developing a methodology to detect partial failures for dynamic systems./
Author:	Al-jowder, Anwar A.
Description:	111 p.
Notes:	Source: Dissertation Abstracts International, Volume: 64-12, Section: B, page: 6228.
Contained By:	Dissertation Abstracts International64-12B.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3118168

Developing a methodology to detect partial failures for dynamic systems.
Al-jowder, Anwar A.

Developing a methodology to detect partial failures for dynamic systems. - 111 p.

Source: Dissertation Abstracts International, Volume: 64-12, Section: B, page: 6228.

Thesis (Ph.D.)--Old Dominion University, 2003.

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.Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Developing a methodology to detect partial failures for dynamic systems.
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100 1 $a Al-jowder, Anwar A. $3 1952008
245 1 0 $a Developing a methodology to detect partial failures for dynamic systems.
300 $a 111 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-12, Section: B, page: 6228.
500 $a Directors: Resit Unal; Andres Sousa-Poza.
502 $a Thesis (Ph.D.)--Old Dominion University, 2003.
520 $a 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.
590 $a School code: 0418.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Engineering, Environmental. $3 783782
650 4 $a Engineering, System Science. $3 1018128
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690 $a 0775
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710 2 0 $a Old Dominion University. $3 1020684
773 0 $t Dissertation Abstracts International $g 64-12B.
790 1 0 $a Unal, Resit, $e advisor
790 1 0 $a Sousa-Poza, Andres, $e advisor
790 $a 0418
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3118168