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应用小波的PV振荡周期多分辨率检测
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作者 徐占洋 charles zhan 张顺颐 《应用科学学报》 EI CAS CSCD 北大核心 2010年第1期60-64,共5页
该文提出了一种新的使用小波技术检测PV数据信号振荡周期的方法.首先使用小波技术对PV数据进行降噪;然后在不同分辨率上,应用冗余二进制离散小波变换(DDWT)来分解PV振荡信号,并检测该信号的小波系数极值,重构PV信号,避免降噪后的PV信号... 该文提出了一种新的使用小波技术检测PV数据信号振荡周期的方法.首先使用小波技术对PV数据进行降噪;然后在不同分辨率上,应用冗余二进制离散小波变换(DDWT)来分解PV振荡信号,并检测该信号的小波系数极值,重构PV信号,避免降噪后的PV信号失真;最后基于本文提出的新算法,计算获得PV振荡信号的周期. 展开更多
关键词 周期检测 PV振荡信号 二进制离散小波变换 小波系数 极值
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A NEW NON-INVASIVE METHOD FOR VALVE STICTION DECTION USING WAVELET TECHNOLOGY
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作者 Xu zhanyang charles zhan zhang Shunyi 《Journal of Electronics(China)》 2009年第5期673-680,共8页
In this letter, we present a novel approach of valve stiction detection using wavelet technology. A new non-invasive method is developed with the closed-loop normal operating data. The redundant dyadic discrete wavele... In this letter, we present a novel approach of valve stiction detection using wavelet technology. A new non-invasive method is developed with the closed-loop normal operating data. The redundant dyadic discrete wavelet transform is used to decompose the data at different resolution scales. Based on the Lipschitz regularity theory, wavelet coefficients analysis across scales is performed to detect the jumps in the controlled variables. Adaptive wavelet de-noising is then applied to the data. Features of the valve stiction patterns are extracted from the de-noised data and the valve stiction probability is calculated. 展开更多
关键词 Valve stiction Wavelet de-noising JUMP Features extraction
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