Roller bearing fault diagnosis based on nonlinear redundant lifting wavelet packet analysis.
Roller bearing fault diagnosis based on nonlinear redundant lifting wavelet packet analysis.
复制标题
基于非线性冗余提升小波包分析的滚子轴承故障诊断
DOI：
10.3390/s110100260
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Chen P
中科院分区：
文献类型：
--
作者：
Gao L;Yang Z;Cai L;Wang H;Chen P
提出了一种非线性冗余提升小波包算法。针对不同层次的待分解节点信号，选择消失矩阶数不同的预测算子和更新算子，分别取分解得到的尺度系数和小波系数的范数lp，取范数最小值对应的预测算子和更新算子作为最优算子，以匹配节点的信息特征。针对冗余提升小波包分析中存在的频率混叠和频带交错问题，提出了一种改进的分解和节点单支重构算法。计算最底层分解节点系数的归一化能量，提取能量最大的节点信号进行解调。将改进的非线性冗余提升小波包分析应用于某厂精米尔斯轧机滚动轴承的故障诊断中，成功地检测出了滚动轴承的故障。应用结果证明了该方法的有效性和实用性。
A nonlinear redundant lifting wavelet packet algorithm was put forward in this study. For the node signals to be decomposed in different layers, predicting operators and updating operators with different orders of vanishing moments were chosen to take norm lp of the scale coefficient and wavelet coefficient acquired from decomposition, the predicting operator and updating operator corresponding to the minimal norm value were used as the optimal operators to match the information characteristics of a node. With the problems of frequency alias and band interlacing in the analysis of redundant lifting wavelet packet being investigated, an improved algorithm for decomposition and node single-branch reconstruction was put forward. The normalized energy of the bottommost decomposition node coefficient was calculated, and the node signals with the maximal energy were extracted for demodulation. The roller bearing faults were detected successfully with the improved analysis on nonlinear redundant lifting wavelet packet being applied to the fault diagnosis of the roller bearings of the finishing mills in a plant. This application proved the validity and practicality of this method.
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