Application of composite dictionary multi-atom matching in gear fault diagnosis.
Application of composite dictionary multi-atom matching in gear fault diagnosis.
复制标题
复合字典多原子匹配在齿轮故障诊断中的应用
DOI：
10.3390/s110605981
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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：
Cui L;Kang C;Wang H;Chen P
基于匹配追踪的稀疏分解是一种自适应的信号稀疏表示方法。提出了一种复合字典多原子匹配分解与重构算法的思想，并在重构算法中引入阈值去噪。根据齿轮故障信号的结构特点，将脉冲时频字典和傅立叶字典相结合，构造了一个复合字典，并采用遗传算法搜索最佳匹配原子。对齿轮故障仿真信号的分析结果表明，硬阈值法是有效的，能够分别提取出冲击或谐波特征分量。同时，研究了复合字典多原子匹配算法在不同噪声水平下的鲁棒性。针对数据长度对算法计算效率的影响，提出了一种改进的分段分解与重构算法，显著提高了分解算法的计算效率。此外，多原子匹配算法在计算效率和算法鲁棒性方面均优于单原子匹配算法，具有上级的优点。最后，将上述算法应用于齿轮故障工程信号中，取得了较好的效果。
The sparse decomposition based on matching pursuit is an adaptive sparse expression method for signals. This paper proposes an idea concerning a composite dictionary multi-atom matching decomposition and reconstruction algorithm, and the introduction of threshold de-noising in the reconstruction algorithm. Based on the structural characteristics of gear fault signals, a composite dictionary combining the impulse time-frequency dictionary and the Fourier dictionary was constituted, and a genetic algorithm was applied to search for the best matching atom. The analysis results of gear fault simulation signals indicated the effectiveness of the hard threshold, and the impulse or harmonic characteristic components could be separately extracted. Meanwhile, the robustness of the composite dictionary multi-atom matching algorithm at different noise levels was investigated. Aiming at the effects of data lengths on the calculation efficiency of the algorithm, an improved segmented decomposition and reconstruction algorithm was proposed, and the calculation efficiency of the decomposition algorithm was significantly enhanced. In addition it is shown that the multi-atom matching algorithm was superior to the single-atom matching algorithm in both calculation efficiency and algorithm robustness. Finally, the above algorithm was applied to gear fault engineering signals, and achieved good results.
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