NDLI: Evaluation of partial discharge measurement by expert systems

Content Provider	IEEE Xplore Digital Library
Author	Zalis, K.
Copyright Year	2000
Description	Author affiliation: Fac. of Electr. Eng., Czech Tech. Univ., Prague, Czech Republic (Zalis, K.)
Abstract	Expert systems with the elements of artificial intelligence are the best solution for the evaluation of measured data from the diagnostic measurements and for the estimation of behavior of the insulation system in future operation. Several rule-based expert systems for the diagnostics of high voltage insulation systems have been developed at the Czech Technical University in Prague in the collaboration with other top diagnostic workplaces of the Czech Republic. The complex system for the evaluation of partial discharge (PD) measurement has been developed. Two parallel expert systems work in this complex evaluating system: a rule-based expert system performs an amplitude analysis of PD-impulses for determining the damage of the insulation system, and a neuron network is used for the recognition of PD-patterns (a phase analysis of PD-impulses) to determine the kind of PD-activity and location of the source of PD-activity.
Starting Page	856
Ending Page	859
File Size	503028
Page Count	4
File Format	PDF
ISBN	0780354591
DOI	10.1109/ICPADM.2000.876363
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-06-21
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Partial discharge measurement Expert systems Diagnostic expert systems Insulation Partial discharges Performance analysis Artificial intelligence Voltage Collaborative work Online Communities/Technical Collaboration
Content Type	Text
Resource Type	Article

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