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Classification of Multiple and Single Power Quality Disturbances Using a Decision Tree-Based Approach
[摘要] This paper presents a new approach for power quality (PQ) disturbance classification. In order to classify both single and multiple disturbances, the principle of divide-and-conquer is employed and a tree structure is constructed by means of simple classifiers: Perceptrons and a Bayesian classifier. Aiming at reducing its computational cost, only six parameters extracted from the filtered electrical signal are used by the final classifier. Such parameters are the second-order cumulants and the RMS value. Results show that the proposed approach can classify many types of PQ disturbances with good accuracy even for different values of signal-to-noise ratio and for real data...
[发布日期]  [发布机构] 
[效力级别]  [学科分类] 自动化工程
[关键词] Power quality ;Disturbance ;Multiple ;Decision tree ;Classification  [时效性] 
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