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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Correlation Analysis of Alarm Data Based on Fuzzy Rule in Power Network
verfasst von : Wenting Jiang, Yan Chen, Yingqian Liao
Erschienen in: Cloud Computing and Security
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Abstract
With the development of science and technology, power network has greatly developed, and people has gradually depended on the power in daily life. However, once the fault in power network, the transmission of power will be difficult and the engineer must check the fault in large amounts of alarm data in power network immediately, which would cost so much time by human experience. To solve this problem, we do correlation analysis of alarm data based on fuzzy rule by human intelligence and then locate the root alarm data for the engineer so that they could repair the fault immediately. We do data preprocessing and feature selection firstly. Then this work introduces the Fuzzy C-means (FCM) method to do clustering, which is based on the fuzzy rule. Finally, we use Aprior algorithm to do correlation analysis in order to locate fault in power network. Experimental results show that correlation analysis based on fuzzy rule has better performance comparing to the competing algorithms.