摘要
分析了小波变换的时 -频局部化特性及基于多分辨分析的信号小波分解重构算法 ,研究了信号局部奇异性在小波变换下的特性。根据故障信号和噪声的局部奇异性在小波变换下的模极大值在不同尺度上的传播特性不同的特点 ,并利用小波分解重构算法 ,对泵壳振动加速度信号进行了分解、去噪和重构。大大改善了监测信号的信噪比 ,对故障特征信号进行了时域定位 ,提取了故障特征频率。
The time frequency localization features of the wavelet transform and the signal wavelet decomposition reconstruction algorithm based on the multi resolution analysis are analyzed. The signal local singularities under the wavelet transform are studied. According to the propagation features of modulus maximums of the fault signal and the noise under the wavelet transform different on the scales, and by use of the signal wavelet decomposition reconstruction algorithm, the pump shell vibration acceleration signal is decomposed, denoised, and reconstructed. The signal to noise of the monitored signal improved greatly. The fault characteristic signal on time domain is positioned. The fault characteristic frequency is picked up.
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2001年第6期34-37,共4页
Journal of Mechanical Engineering
基金
国家自然科学基金!资助项目 (6 9872 0 31)
教育部高等学校骨干教师资助计划资助
关键词
液压泵
故障诊断
小波变换
Hydraulic pump Fault diagnosis Wavelet transform
