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  • 标题:Fuzzy Neural Inference System for Pattern Recognition of Power Quality Events Using Rule Generation
  • 本地全文:下载
  • 作者:Maya Nayak ; Lalit Kumar Behera
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2013
  • 卷号:4
  • 期号:1
  • 页码:121-125
  • 出版社:TechScience Publications
  • 摘要:This paper presents pattern recognition of time series data and subsequent temporal data mining of power signal disturbance events that occur frequently in power distribution networks using multiresolution S-transform and Fuzzy neural inference system . This system yields relevant features, which are used in a Fuzzy expert system to separate the transient time series data and steady state short-term duration time series data including various harmonic time series. The transient time series data is then passed through the Fuzzy MLP along with inference system to yield a set of rules required for recognition of various transient disturbance patterns (power quality events).
  • 关键词:Pattern recognition; Neural network; fuzzy logic;Confidence; Rule generation.
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