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Fault Tracking Method for Relay Protection Devices
Author(s) -
Qing Chen,
Xiaotong Zhou,
Mengxuan Sun,
Xiaotong Zhang
Publication year - 2021
Publication title -
energies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.598
H-Index - 93
ISSN - 1996-1073
DOI - 10.3390/en14092723
Subject(s) - relay , reliability engineering , fault (geology) , bayesian network , computer science , event (particle physics) , protective relay , set (abstract data type) , tracking (education) , data mining , power system protection , real time computing , electric power system , power (physics) , engineering , artificial intelligence , psychology , pedagogy , physics , quantum mechanics , seismology , programming language , geology
A method of fault tracking for relay protection devices is presented in this paper. Fault tracking means that after the failure of relay protection devices, the anomalies and warning information are obtained through data-mining technology, and then, the fault tracking algorithm is used to find the cause of failure. Let us take microcomputer protection as an example: Firstly, the common failure symptoms and the prior probability of failure causes can be collected through empirical field data. Then, the concept of an event set is proposed; thus, the causes set and the symptoms set of failure can be created. According to the causal relationship between the causes set of failure and symptoms set of failure, the reasoning chain and the corresponding Bayesian network model are built. Then, the probability of failure causes can be obtained through backward reasoning to continue the tracking analysis of failure causes for relay protection devices. Since the data used in modeling are all from statistics, this method has strong applicability and represents a simple and reliable method for the timely determination and elimination of failure in a power system.

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