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Researchment On Fault Diagnosis System For Intelligent Prefabricated Substation

Posted on:2004-10-10Degree:MasterType:Thesis
Country:ChinaCandidate:B M FengFull Text:PDF
GTID:2132360095460638Subject:Electrical theory and new technology
Abstract/Summary:PDF Full Text Request
With the fast development of modernization construction, it is weaker and weaker for social different fileds to bear the ability to have a power failure, having put forward higher request to the distribution network and power-supply unit. So, it has already become the important content of improving the social development level that developing the power-supply automated system which can monitor online and control to improve the power-supply quality of the distribution network.Just under such a background, the important part in distributionautomated system-Intelligent Prefabricated Substation-isregarded as the research object in this paper. The method diagnosing the fault of Electric equipments in the prefabricated substation with Artificial Neural Network(ANN) theory is probed into and the key problem such as the identification of typical fault mode of prefabricated substation is also studied.The fundamental theory of ANN, especially its model and algorithm which can be used better for the fault diagnosis of prefabricated substation is studied.As one of the main learning algorithms .Back Propagation(BP) algorithm is studied emphatically. Some developed BP algorithms which were simulated and compared using computer seperately are also presented, ANN learning algorithm in this paper is constructed on the basis of the goodness of all above algorithms which is suitable for the identification of typical fault mode.In this paper,overall design philosophy and measure while diagonose the prefabricated substation using ANN theory are defined, including the definition of fuzzy expression method for fault symptoms, the definition of typical fault collection and typical fault sign collection,thedefinition of the format of the learning sample and test sample, and the definition of fault diagnosis model formed in coordination by multi ANN whose diagnosis principle are also described.A practical software using Visual C++6. 0 and Access2000 as developing instrument are developed on the basis of diagnosis principle put forward by this paper.The identification of the typical fault mode of prefabricated substation is researched in detail, which make a good fundament for further work.
Keywords/Search Tags:fault diagnosis, neural networks, prefabricated substation
PDF Full Text Request
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