Research and Application of Information Operation and Maintenance Fault Diagnosis Model for Power Grid Enterprise

Abstract:

Power industry informational has become the general trend in new era, for power dispatching operation and mainte-nance center, how to ensure that normal operation of various software and hardware resources is a important yet unsolved problem. The paper makes full use of operation and maintence supervision method, presents a information operation and maintenance fault diagnosis model based on FP-Growth association rules algorithm for power grid enterprise. Firstly, information system operation and maintenance supervision model of power grid is described, according to power enterprise regulations and practical experience of operation and maintenance personnel, it makes a series of operation and maintenance indicators. Then above this foundation detailing the fault diagnosis model is constructed, analyzing diagnosis reasoning process under the different the case of non-compliance indicators, and applying it to the actual operation project that the power grid enterprise information system real-time monitoring plat-form (ISRMP). Finally, preliminary application of ISRMP in Information and Communication Company of Jilin Electric Power.

• Periodical: Advanced Materials Research (Volume 852)
• Pages: 332-336
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.852.332
• Online since: January 2014
• Authors: Zhao Yang Qu, Xiao Yong Bo, Ying Long Diao, Lei Wang, Peng Xin, Jian Hong Zhang
• Keywords: Association Rule, Fault Diagnosis, FP-Growth Algorithm, Maintenance Supervision, Operation

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DOI: 10.1109/pesmg.2013.6672751

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