Strategy for time-constrained qualitative model-based diagnosis

Andrew Steele; Roy Leitch

Strategy for time-constrained qualitative model-based diagnosis

Andrew Steele, Roy Leitch

School of Mathematical & Computer Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

Automated fault diagnosis of engineering systems and industrial processes is an active research area in both AI and control systems engineering. Both fields use model obtained from principled system structure and behavior knowledge to make predictions about behavior. An architecture for parameter identification, based on qualitative modeling and reasoning techniques is presented. This is used as the basis for a time constrained model based diagnosis system. Also outlined is the QPID (Qualitative parameter identification for diagnosis) architecture.

Original language	English
Pages (from-to)	2/1-2/7
Journal	IEE Colloquium (Digest)
Issue number	79
Publication status	Published - 1995
Event	IEE Computing and Control Division Colloquium on Qualitative and Quantitative Modelling Methods for Fault Diagnosis - London, UK Duration: 24 Apr 1995 → 24 Apr 1995

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title = "Strategy for time-constrained qualitative model-based diagnosis",

abstract = "Automated fault diagnosis of engineering systems and industrial processes is an active research area in both AI and control systems engineering. Both fields use model obtained from principled system structure and behavior knowledge to make predictions about behavior. An architecture for parameter identification, based on qualitative modeling and reasoning techniques is presented. This is used as the basis for a time constrained model based diagnosis system. Also outlined is the QPID (Qualitative parameter identification for diagnosis) architecture.",

author = "Andrew Steele and Roy Leitch",

year = "1995",

language = "English",

pages = "2/1--2/7",

journal = "IEE Colloquium (Digest)",

issn = "0963-3308",

publisher = "Institute of Electrical Engineers",

number = "79",

note = "IEE Computing and Control Division Colloquium on Qualitative and Quantitative Modelling Methods for Fault Diagnosis ; Conference date: 24-04-1995 Through 24-04-1995",

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AU - Steele, Andrew

AU - Leitch, Roy

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AB - Automated fault diagnosis of engineering systems and industrial processes is an active research area in both AI and control systems engineering. Both fields use model obtained from principled system structure and behavior knowledge to make predictions about behavior. An architecture for parameter identification, based on qualitative modeling and reasoning techniques is presented. This is used as the basis for a time constrained model based diagnosis system. Also outlined is the QPID (Qualitative parameter identification for diagnosis) architecture.

M3 - Article

SP - 2/1-2/7

JO - IEE Colloquium (Digest)

JF - IEE Colloquium (Digest)

SN - 0963-3308

IS - 79

T2 - IEE Computing and Control Division Colloquium on Qualitative and Quantitative Modelling Methods for Fault Diagnosis

Y2 - 24 April 1995 through 24 April 1995

ER -