1. Power Grid Fault Diagnosis Based on Fault Information Coding and Fusion Method
- Author
-
Xiangli Deng, Yang Ke, Jinyong Zhao, Wang Zhongguo, Wei Shutong, Yanfei Wei, and Liu Jie
- Subjects
geography ,Fusion ,geography.geographical_feature_category ,Computer science ,Wavelet transform ,Hardware_PERFORMANCEANDRELIABILITY ,Coding theory ,Fault (geology) ,computer.software_genre ,Computer Science::Hardware Architecture ,Information coding ,Power grid ,Data mining ,Cluster analysis ,Computer Science::Operating Systems ,computer ,Computer Science::Distributed, Parallel, and Cluster Computing ,Coding (social sciences) - Abstract
Considering the differences of fault characteristics in the process of fault diagnosis, the paper proposes power grid fault diagnosis method based on integrated fault degree. This method firstly, the wavelet transform is used for electric parameters amplitude and energy characteristics of the information analysis, extract the key indicators; then, according to the amount of the digital information from remote communication system, calculating coding similarity by using fault coding theory; finally, determine integrated fault degree by using the improved D-S evidence theory and finding finally fault line by improved k-means clustering method. The simulation results show that the proposed scheme improves the accuracy of diagnosis, and has good application prospects.
- Published
- 2018