Improving test strategies and fault isolation with expert systems

Moshe Ben-Bassat; Israel Beniaminy; David Joseph

Improving test strategies and fault isolation with expert systems

Moshe Ben-Bassat^*
, Israel Beniaminy
, David Joseph

^*Corresponding author for this work

Intelligent Electronics

Research output: Contribution to journal › Conference article › peer-review

Abstract

The use of commercial off-the-shelf (COTS) expert systems in integrated diagnostics (ID) for military applications is examined. The most important differentiating characteristics of expert systems are their modeling methods, and their architecture. The modeling method drastically affects the time required to build a model, and the architecture must be open enough to integrate with the many tools used in engineering, deployment, and maintenance of the supported equipment throughout its life cycle. The Fault Modeling method is presented which has been field-proven over the past decade as flexible enough to meet the challenges of different lifecycle tasks.

Original language	English
Pages (from-to)	467-474
Number of pages	8
Journal	AUTOTESTCON (Proceedings)
State	Published - 1997
Externally published	Yes
Event	Proceedings of the 1997 IEEE AUTOTESTCON Conference - Anaheim, CA, USA Duration: 22 Sep 1997 → 25 Sep 1997

Cite this

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abstract = "The use of commercial off-the-shelf (COTS) expert systems in integrated diagnostics (ID) for military applications is examined. The most important differentiating characteristics of expert systems are their modeling methods, and their architecture. The modeling method drastically affects the time required to build a model, and the architecture must be open enough to integrate with the many tools used in engineering, deployment, and maintenance of the supported equipment throughout its life cycle. The Fault Modeling method is presented which has been field-proven over the past decade as flexible enough to meet the challenges of different lifecycle tasks.",

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AU - Ben-Bassat, Moshe

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AB - The use of commercial off-the-shelf (COTS) expert systems in integrated diagnostics (ID) for military applications is examined. The most important differentiating characteristics of expert systems are their modeling methods, and their architecture. The modeling method drastically affects the time required to build a model, and the architecture must be open enough to integrate with the many tools used in engineering, deployment, and maintenance of the supported equipment throughout its life cycle. The Fault Modeling method is presented which has been field-proven over the past decade as flexible enough to meet the challenges of different lifecycle tasks.

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T2 - Proceedings of the 1997 IEEE AUTOTESTCON Conference

Y2 - 22 September 1997 through 25 September 1997

ER -

Improving test strategies and fault isolation with expert systems

Abstract

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