Fault Diagnosis of Communication Equipment Based on Rough Set Theory

Abstract:

According to the communication equipment fault characteristics of complexity, hierarchy, relevance, delay and uncertainty, the method of extracting diagnosis rules based on rough set is presented in order to obtain diagnostic decision rules with good adaptability and maximum matching capabilities. This method can process a large amount of fault data and it can reduce both attribute and attribute value.4 evaluations are selected to evaluate the effectiveness and reasonableness of decision rules, and finally core value table of decision rules which has a certain ability to adapt. Example shows that this method can remove noise in fault diagnosis sample, reduce the computation and improve the efficiency of diagnosis effectively.

• Periodical: Advanced Materials Research (Volumes 986-987)
• Pages: 1497-1501
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.986-987.1497
• Online since: July 2014
• Authors: Hai Yan Zhao*, Lin Hao Huang, Zheng Xi Xie, Gu Sheng Wen
• Keywords: Decision Rules, Fault Diagnosis, Rough Set Theory (RST)

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