The Experts below are selected from a list of 23709 Experts worldwide ranked by ideXlab platform
M Utsunomiya - One of the best experts on this subject based on the ideXlab platform.
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development and implementation of a power System Fault Diagnosis expert System
IEEE Transactions on Power Systems, 1995Co-Authors: T Minakawa, Y Ichikawa, M Kunugi, K Shimada, N Wada, M UtsunomiyaAbstract:This paper describes a Fault Diagnosis expert System installed at the Tohoku Electric Power Company. The main features of this System are careful selection of the inferencing input data, rapid inferencing, integration of the expert System with other Systems in a practical structure, and the adoption of a domain shell. This System aims for improved practicability by using time-tagged data from circuit breakers, protective relays, and automatic reclosing relays in addition to the input data used in earlier Systems. Furthermore, this System also uses data from Fault detection Systems that locate Fault points within electric stations. This System uses an AI-specific back-end processor to perform inferencing rapidly. Additionally, this Fault Diagnosis expert System is interfaced and integrated with a restorative operations expert System, an intelligent alarm processing System, and a protective relay setting and management System. The authors developed and adopted a power System Fault Diagnosis domain shell to ease System development, and used the protective relay operation simulation function of a protective relay setting and management System for System verification. >
T Minakawa - One of the best experts on this subject based on the ideXlab platform.
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development and implementation of a power System Fault Diagnosis expert System
IEEE Transactions on Power Systems, 1995Co-Authors: T Minakawa, Y Ichikawa, M Kunugi, K Shimada, N Wada, M UtsunomiyaAbstract:This paper describes a Fault Diagnosis expert System installed at the Tohoku Electric Power Company. The main features of this System are careful selection of the inferencing input data, rapid inferencing, integration of the expert System with other Systems in a practical structure, and the adoption of a domain shell. This System aims for improved practicability by using time-tagged data from circuit breakers, protective relays, and automatic reclosing relays in addition to the input data used in earlier Systems. Furthermore, this System also uses data from Fault detection Systems that locate Fault points within electric stations. This System uses an AI-specific back-end processor to perform inferencing rapidly. Additionally, this Fault Diagnosis expert System is interfaced and integrated with a restorative operations expert System, an intelligent alarm processing System, and a protective relay setting and management System. The authors developed and adopted a power System Fault Diagnosis domain shell to ease System development, and used the protective relay operation simulation function of a protective relay setting and management System for System verification. >
Fushuan Wen - One of the best experts on this subject based on the ideXlab platform.
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A new analytic approach for power System Fault Diagnosis employing the temporal information of alarm messages
International Journal of Electrical Power & Energy Systems, 2012Co-Authors: Wenxin Guo, Fushuan Wen, Gerard Ledwich, Zhiwei Liao, Jiansheng HuangAbstract:Traditional analytic models for power System Fault Diagnosis are usually formulated as an unconstrained 0–1 integer programming problem. The key issue of the models is to seek the Fault hypothesis that minimizes the discrepancy between the actual and the expected states of the concerned protective relays and circuit breakers. The temporal information of alarm messages has not been well utilized in these methods, and as a result, the Diagnosis results may be not unique and hence indefinite, especially when complicated and multiple Faults occur. In order to solve this problem, this paper presents a novel analytic model employing the temporal information of alarm messages along with the concept of related path. The temporal relationship among the actions of protective relays and circuit breakers, and the different protection configurations in a modern power System can be reasonably represented by the developed model, and therefore, the diagnosed results will be more definite under different circumstances of Faults. Finally, an actual power System Fault was served to verify the proposed method.
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Power System Fault Diagnosis with a weighted fuzzy time Petri net
International Conference on Sustainable Power Generation and Supply (SUPERGEN 2012), 2012Co-Authors: Fushuan Wen, Yusheng Xue, Xia YinAbstract:The existing researches for power System Fault Diagnosis based on Petri net have not taken into account the time-delay constraints of the components, and the malfunctions of protective relays and breakers. Given this background, a power System Diagnosis model based on weighted fuzzy time Petri nets (PNs) with taking the time-delay constraints into account is proposed. First of all, the interrupted districts can be figured out by the power network topology and the alarm message of the protective relays and breakers offered by the SCADA System. Then weighted fuzzy time PN (WFTPN) for the possible Fault components in the interrupted districts, which can adapt to topology changes, is constructed to confirm the Fault components with considering the time-delay constraints of the components and the malfunctions of protective relays and breakers. At the same time, the reasoning process based on a mathematical matrix algorithm is given to analyze the method, which can improve the practicability and veracity of the model. The integrality and the exactness of the alarm message can be diagnosed to identify the malfunctioning protective relays and breakers by using the backward reasoning. Finally, the IEEE 39-bus power System is used to demonstrate the Diagnosis model based on the weighted fuzzy time PN proposed. The validity of the method has been proved by the simulation result. (7 pages)
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Power System Fault Diagnosis using fuzzy sets for uncertainties processing
Proceedings of International Conference on Intelligent System Application to Power Systems, 1Co-Authors: C.s. Chang, J.m. Chen, A.c. Liew, Dipti Srinivasan, Fushuan WenAbstract:Great emphasis has been put into applying expert Systems to power transmission System Fault Diagnosis. However, very few papers deal with the unavoidable uncertainties which occur during operation involving Fault location and other available information. This paper proposes a method using fuzzy sets to cope with such uncertainties. A fuzzy expert System is developed, which requires much less memory space to store active databases than those used by conventional expert Systems. The fuzzy expert System identifies two basic data sets, S/sub Fault/and S/sub no-Fault/, using the status of operated and maloperated circuit breakers and relays. It then conducts inference to determine the most likely Faulty components and the associated Faulty component sequences. Two case studies are given in the paper to demonstrate salient features of the proposed approach.
N Wada - One of the best experts on this subject based on the ideXlab platform.
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development and implementation of a power System Fault Diagnosis expert System
IEEE Transactions on Power Systems, 1995Co-Authors: T Minakawa, Y Ichikawa, M Kunugi, K Shimada, N Wada, M UtsunomiyaAbstract:This paper describes a Fault Diagnosis expert System installed at the Tohoku Electric Power Company. The main features of this System are careful selection of the inferencing input data, rapid inferencing, integration of the expert System with other Systems in a practical structure, and the adoption of a domain shell. This System aims for improved practicability by using time-tagged data from circuit breakers, protective relays, and automatic reclosing relays in addition to the input data used in earlier Systems. Furthermore, this System also uses data from Fault detection Systems that locate Fault points within electric stations. This System uses an AI-specific back-end processor to perform inferencing rapidly. Additionally, this Fault Diagnosis expert System is interfaced and integrated with a restorative operations expert System, an intelligent alarm processing System, and a protective relay setting and management System. The authors developed and adopted a power System Fault Diagnosis domain shell to ease System development, and used the protective relay operation simulation function of a protective relay setting and management System for System verification. >
K Shimada - One of the best experts on this subject based on the ideXlab platform.
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development and implementation of a power System Fault Diagnosis expert System
IEEE Transactions on Power Systems, 1995Co-Authors: T Minakawa, Y Ichikawa, M Kunugi, K Shimada, N Wada, M UtsunomiyaAbstract:This paper describes a Fault Diagnosis expert System installed at the Tohoku Electric Power Company. The main features of this System are careful selection of the inferencing input data, rapid inferencing, integration of the expert System with other Systems in a practical structure, and the adoption of a domain shell. This System aims for improved practicability by using time-tagged data from circuit breakers, protective relays, and automatic reclosing relays in addition to the input data used in earlier Systems. Furthermore, this System also uses data from Fault detection Systems that locate Fault points within electric stations. This System uses an AI-specific back-end processor to perform inferencing rapidly. Additionally, this Fault Diagnosis expert System is interfaced and integrated with a restorative operations expert System, an intelligent alarm processing System, and a protective relay setting and management System. The authors developed and adopted a power System Fault Diagnosis domain shell to ease System development, and used the protective relay operation simulation function of a protective relay setting and management System for System verification. >
