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Purification of rotor axis’s orbit based on morphological wavelet |
ZHANG Wen-bin1,2, ZHOU Xiao-jun1, SHEN Lu1, LI Jun-sheng2,
YANG Xian-yong1, LIN Yong1 |
1. Zhejiang Provincial Key Laboratry of Advanced Manufacturing Technology,
Institute of Modern Manufacturing Engineering, Zhejiang University, Hangzhou 310027, China;
2. Department of Mechanical Engineering and Automation, Engineering College, Honghe University, Mengzi 661100, China |
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Abstract Aiming at the purification of rotor axiss orbit in turbine generator unit, a novel approach was proposed based on morphological wavelet. As a kind of nonlinear wavelet, morphological wavelet has both the morphological characteristic of mathematical morphology and the multiresolution feature of wavelet. It has good performance in keeping details and resisting noises. Using this method to purify rotor axiss orbit, theres no need to consider spectrum characteristic of vibration signal. And purified rotor axiss orbit could be obtained through threshold denoising for components decomposed by morphological wavelet and reconstruction of processed signal. Compared with traditional Haar wavelet, this method is more effective in purification of rotor axiss orbit when processing data detected. The morphological wavelet algorithm only includes addition, subtraction, maximum and minimum operations, its suitable for online monitor and fault diagnosis of turbine generation unit.
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Published: 21 September 2010
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基于形态小波的转子轴心轨迹提纯
针对汽轮发电机组轴心轨迹的提纯问题,提出采用形态小波提纯转子轴心轨迹的新方法.形态小波作为一种非线性小波,兼顾数学形态学的形态特征和小波的多分辨率特性,具有良好的细节保留和抗噪声性能.采用形态小波提纯轴心轨迹,无须考虑信号的频谱特征,通过对形态小波分解得到的分量进行阈值降噪处理,然后重构原信号得到提纯的轴心轨迹.将实际数据分别通过传统的Haar小波与形态小波进行处理,结果表明,形态小波在轴心轨迹提纯方面的效果更明显.由于形态小波变换算法只涉及加减和极大、极小运算,算法简单且执行高效,适合汽轮发电机组故障的在线监测和诊断.
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