Power Quality Disturbance Classify Based On Wavelet Mire-Resoulation And Rule-Based Expert

This thesis is mainly concerned with problems of power quality disturbance signal's analysis and classifies by rule-based expert system.First introducing power quality and its relevant concepts, the thesis investigates the existing methods of power quality signal's deal and disturbance classify inland and abroad and summarizes a variety of analysis methods.This thesis is mainly concerned with problems of power quality disturbance signal's deal and wavelet transform, after study the character of power quality signal, we select propriety wavelet. The characteristic of power quality signal's deal by wavelet multi-resolution Decomposition and time-domain analysis is studied then brings forward combine the tow methods and uses it to filter bed yawp, decomposition and feature extraction. 8 kinds of power quality are classified and characterization of sag is specially classified. It is efficiency in analysis the power quality.Rule-based expert system is schemed for automatism identifies power quality disturbance signal. We bring forward the project flexible rule-based expert system, according to the characteristic inspection and measure system, and has a deep research on the problem of this system. This project for disturbance classify have lower mistake ratio and facility maintenance. Finally, large quantities of computer simulations illustrate that it can achieve satisfaction effects.