Knowledge-based signal-symbol processing approach for change detection

A. Edelmayer, J. Bokor, P. Gáspár, M. Tanyi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently, computerized fault diagnostic systems have been applied to catch up and localize incipient failures in complex plants. The early indication of abrupt changes in the dynamic properties of signals is a critical issue in the operation of such systems. To date, systems performing change detection functions effectively, have generally required the continuous, constructive interaction with the skilled analyst for intelligent assistance in commissioning signal processing activities. Quite recently, remarkable efforts have been made to automate the nontrivial decision-making activities of the human operator in this field. In this paper we describe a knowledge-based approach to solve the autonomous change detection problem. The focus of the paper is on the expert skill-based decision process because this is the critical but nevertheless neglected, aspect in the realization of knowledge-based signal processing systems. In the framework of a combined expert-decision support system (ES/DSS) we aim to provide a methodology to embody expert strategies as control knowledge and signal-symbol processing skills as domain knowledge applied to the change detection task. The overall scheme and behavior of the system is briefly reviewed.

Original languageEnglish
Title of host publicationIFAC Symposia Series - Proceedings of a Triennial World Congress
EditorsU. Jaaksoo, V.I. Utkin
PublisherPubl by Pergamon Press Inc
Pages181-186
Number of pages6
Volume4
Publication statusPublished - 1991
EventProceedings of the 11th Triennial World Congress of the International Federation of Automatic Control - Tallinn, USSR
Duration: Aug 13 1990Aug 17 1990

Other

OtherProceedings of the 11th Triennial World Congress of the International Federation of Automatic Control
CityTallinn, USSR
Period8/13/908/17/90

Fingerprint

Signal processing
Processing
Decision support systems
Decision making

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Edelmayer, A., Bokor, J., Gáspár, P., & Tanyi, M. (1991). Knowledge-based signal-symbol processing approach for change detection. In U. Jaaksoo, & V. I. Utkin (Eds.), IFAC Symposia Series - Proceedings of a Triennial World Congress (Vol. 4, pp. 181-186). Publ by Pergamon Press Inc.

Knowledge-based signal-symbol processing approach for change detection. / Edelmayer, A.; Bokor, J.; Gáspár, P.; Tanyi, M.

IFAC Symposia Series - Proceedings of a Triennial World Congress. ed. / U. Jaaksoo; V.I. Utkin. Vol. 4 Publ by Pergamon Press Inc, 1991. p. 181-186.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Edelmayer, A, Bokor, J, Gáspár, P & Tanyi, M 1991, Knowledge-based signal-symbol processing approach for change detection. in U Jaaksoo & VI Utkin (eds), IFAC Symposia Series - Proceedings of a Triennial World Congress. vol. 4, Publ by Pergamon Press Inc, pp. 181-186, Proceedings of the 11th Triennial World Congress of the International Federation of Automatic Control, Tallinn, USSR, 8/13/90.
Edelmayer A, Bokor J, Gáspár P, Tanyi M. Knowledge-based signal-symbol processing approach for change detection. In Jaaksoo U, Utkin VI, editors, IFAC Symposia Series - Proceedings of a Triennial World Congress. Vol. 4. Publ by Pergamon Press Inc. 1991. p. 181-186
Edelmayer, A. ; Bokor, J. ; Gáspár, P. ; Tanyi, M. / Knowledge-based signal-symbol processing approach for change detection. IFAC Symposia Series - Proceedings of a Triennial World Congress. editor / U. Jaaksoo ; V.I. Utkin. Vol. 4 Publ by Pergamon Press Inc, 1991. pp. 181-186
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