1991
DOI: 10.1109/61.131123
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An expert system for substation fault diagnosis and alarm processing

Abstract: E l e c t r i c P e r D i v i s i o n DeperhRnt of E l e c t r i c a l Engineering 42, 28th October Str., Athens 106 82, Greece Aktrut A n expert system, f o r substation f a u l t diagnosis and alarm prFessing developed by the E l e c t r i c Power Systems Labofatby o f the National Technical University o f Athens i s presented. I t i s w r i t t e n i n TURBO PROLOG and i s implemented on a personal computer. The expert system indudes many characteristics of an expert system c e l l because i t ccin be expan… Show more

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Cited by 59 publications
(16 citation statements)
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“…The early approaches for this purpose were in the form of organizing and prioritizing alarm messages [23]. Some authors suggested techniques for filtering mechanisms, priority and grouping schemes as well as message routing procedures [24], which was later improved by using Boolean algorithmic and rule-based expert system techniques [25], [26]. However, these modified approaches were still difficult to implement for large systems, and lacked adaptability and flexibility.…”
Section: Situational Awareness In Power Systems-statementioning
confidence: 99%
“…The early approaches for this purpose were in the form of organizing and prioritizing alarm messages [23]. Some authors suggested techniques for filtering mechanisms, priority and grouping schemes as well as message routing procedures [24], which was later improved by using Boolean algorithmic and rule-based expert system techniques [25], [26]. However, these modified approaches were still difficult to implement for large systems, and lacked adaptability and flexibility.…”
Section: Situational Awareness In Power Systems-statementioning
confidence: 99%
“…Furthermore, there are many decision variables to consider and large dimension solution space due to the combinatorial nature of the problem. Since Wollenberg proposed in 1986 [1] the use of expert systems (ES) to manipulate alarms in CCs, many works have been published in this area to solve the fault section estimation problem [2][3][4]. ES use a rule-based knowledge system and an inference engine to estimate the sections under fault.…”
Section: Introductionmentioning
confidence: 99%
“…Under such circumstances, the system operator has to rely on the knowledge of the network, logical thinking and judgment to diagnose the fault and restore supply. To assist the system operator for fault diagnosis, various diagnostic knowledge base systems (DKES) using rule base, model-based reasoning and algorithmic techniques are reported [l, 31. Other approaches focus on the substation level using the sequence of event (SOE) recording [4], time-tagged data from circuit breakers and relays [5] and alarm processing in substation [6].…”
Section: Introductionmentioning
confidence: 99%