2000
DOI: 10.1109/61.847234
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A fault diagnosis expert system for distribution substations

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Cited by 115 publications
(5 citation statements)
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References 10 publications
(12 reference statements)
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“…The former fault diagnosis expert system usually adopts the data driven method which binds the code directly with the data [3]. This method can help to process the fault alarm information rapidly.…”
Section: Fault Diagnosis Technology By Model Drivenmentioning
confidence: 99%
See 1 more Smart Citation
“…The former fault diagnosis expert system usually adopts the data driven method which binds the code directly with the data [3]. This method can help to process the fault alarm information rapidly.…”
Section: Fault Diagnosis Technology By Model Drivenmentioning
confidence: 99%
“…So far, various technologies of fault diagnosis have been proposed, such as the method based on the expert system, based on neural network and based on information theory [3]- [7]. The method based on the expert system is the most primary one among them.…”
Section: Introductionmentioning
confidence: 99%
“…Between systems and the system of electromagnetic interference prediction method and the analysis of the process is roughly same, but the basic rule is different, the reason is that the control system and modify others is very difficult or even impossible, so the system of electromagnetic interference is often difficult to control. In addition, although there may be some conduction interference between the system, but the basic form is radiated interference, namely through the radiation between the two antenna area near or far zone field coupling [3] . Between systems is the ultimate goal of electromagnetic interference prediction estimates produced by the transmitter to its neighboring receiver interference effect, and determine the response of the receiver on disturbance signal transmitter.…”
Section: Electromagnetic Interference Analysismentioning
confidence: 99%
“…To improve the safety of the electric power system fault diagnosis is an important work. There are many methods such as petri net system [1]- [2], analytic model-based methods [3]- [4], artificial neural network [5]- [6], Bayesian network system [7], and expert system [8]- [9] have been applied to fault diagnosis.…”
Section: Introductionmentioning
confidence: 99%