Journal of South China University of Technology (Natural Science Edition) ›› 2005, Vol. 33 ›› Issue (2): 34-38,59.

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An Improved Mathematical Morphology Method and Its Application to Power Quality Monitoring

Ouyang Sen   

  1. College of Electric Power,South China Univ.of Tech.,Guangzhou 510640,Guangdong,China
  • Received:2004-05-11 Online:2005-02-25 Published:2005-02-25
  • Contact: 欧阳森(1974-)，男，讲师，博士，主要从事电力电子技术、嵌入式系统设计等方面的研究 E-mail:ouyangs@ scut.edu.cn
  • About author:欧阳森(1974-)，男，讲师，博士，主要从事电力电子技术、嵌入式系统设计等方面的研究
  • Supported by:

    华南理工大学自然科学青年基金资助项目

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Abstract:

By analyzing the defects of the traditional morphology filtering method,an improved mathematical morphology (MM)method is proposed to deal with the data noise in the power quality(PQ)processing.In this method,appropriate structural elements are selected and different structural elements and their serf-adaptive weighted combination are used to form a treatment method for perturbation signals with excellent perform ance.The proposed
method can effectively de-noise the PQ signals without changing the local characteristics of the original signals.The design kernels and steps of the proposed method are also introduced. Simulated results and practical application show that the proposed method is practicable and possesses the advantages of simplicity,high calculation speed and easy hardware implementation.

Key words: power quality, mathematical morphology, signal processing, de noising