The Classification and Recognition of Power Quality Disturbance Based on S Transform

摘要：

For the classification and recognition of power quality disturbances, a method based on principle of maximum information entropy is proposed in this paper. The corn of it is that, using Stransform to establish standard mode time-frequency matrix of various disturbances and obtaining information entropy of standard disturbances by probability density distribution of matrix amplitude. The correct classification has been realized by approaching degree of disturbance signals information entropy with the standard disturbances entropy. The simulation results show that the approach has better anti interference performance and in the condition of low SNR, classification results are also acceptable.

关键词： power quality disturbances S transform feature extraction information entropy

作者: Zhang Rui Zhang Tao Yao Hongjiao Liu Sheng

作者单位: School of Automation Harbin University of Science and Technology Harbin, China Teaching and Training Center of Electrical and Electronics Engineering

会议类型: 国际会议

会议名称: 2012 International Conference on Measurement,Information and Control(2012测量、信息与控制国际会议 ICMIC2012)

会议地点: 哈尔滨

会议语种:英文

页码: 663-667

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）