引用本文:柯慧,顾洁.基于二进小波和二-十进制的电能质量信号检测及分类[J].电力自动化设备,2009,(7):
.Detection and classification of power quality signal based on dyadic wavelet transform and binary-to-decimal conversion[J].Electric Power Automation Equipment,2009,(7):
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基于二进小波和二-十进制的电能质量信号检测及分类
柯慧,顾洁
作者单位
摘要:
通过对各种电能质量PO(Power Quality)信号的时频域及幅值的分析,从二进小波变换检测结果中提取出与信号时频域、幅值相关的2个特征量,并构建出二进特征矢量,进而利用简单的二-十进制转换得到的十进制数表征不同的PO信号.仿真结果表明:采用二进小波变换对电能质量信号进行检测,可以较为准确地提取信号扰动持续时间和幅值范围等特征量.用二进特征矢量表征这些特征量便于扩展以适应更多种电能质量信号的分类,同时二-十进制转换得到的十进制数与不同的电能质量信号相对应,不会产生歧义.有效结合二进小渡变换和二-十进制转换2种方法可以快速、准确地实现多种PQ信号的检测及分类.
关键词:  电能质量  二进小渡变换  二-十进制转换  信号检测  信号分类
DOI:
分类号:TM711
基金项目:
Detection and classification of power quality signal based on dyadic wavelet transform and binary-to-decimal conversion
KE Hui  GU Jie
Abstract:
Based on the time/frequency domain and amplitude analysis of various PQ(Power Quality) signals,two related characteristic parameters are extracted from the detection results of dyadic wavelet transform,with which a binary characteristic vector is constructed and converted to a decimal number to represent different PQ signals.The simulation results show that,the PQ signal detection of dyadic wavelet transform provides more accurate characteristic parameters,such as disturbance duration and amplitude scope.It...
Key words:  power quality  dyadic wavelet transform  binary-to-decimal conversion  signal detection  signalclassification  

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