基于类别语言值的电能质量信号模糊分类

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Abstract There are some uncertain factors in the design process of fuzzy system for classification of power quality signals, so that the complexity of the design process is increased and the classification accuracy is usually not very high. To solve these problems, a new fuzzy classification method of power quality signals is proposed in this paper, namely pattern linguistic values method. Patterns of power quality signals to be classified are directly used to define the linguistic values of fuzzy inputs variables in this way, and the membership functions are defined depending on the values of input variables for each pattern. Besides, fuzzy rules are directly obtained from the analysis of distribution of input variable values, and the number of rules is equal to the number of patterns. Thus, the design of linguistic values and membership functions are directly related to the characters of signals to be classified and classification purposes, not just depending on the distribution of input values. Simulation and real data verification results show the validity and efficiency of the proposed method.

Key words： Power quality fuzzy logic pattern linguistic values feature selection

Received: 08 May 2014 Published: 14 September 2015

PACS:

TM714.3

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	Liu Xiaosheng
	Liu Bo
	Xu Dianguo

Cite this article:

Liu Xiaosheng,Liu Bo,Xu Dianguo. Fuzzy Classification of Power Quality Signals Based on Pattern Linguistic Values[J]. Transactions of China Electrotechnical Society, 2015, 30(12): 392-399.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2015/V30/I12/392

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