关键词: 滚动轴承, 稀疏分解, 交替方向乘子法, 字典学习

Abstract: In the processes of sparse decomposition, the effects of sparse decomposition would be directly affected by dictionary model construction.A dictionary learning method was proposed based on ADMM herein. In the processes of dictionary learning, the ADMM was used to update the atoms in the dictionary, which might obtain the dictionary with better structure. The method was applied to the sparse decomposition of the vibration signals of rolling bearings, shorter dictionary learning time and better sparse decomposition results might be obtained. Compared with the K-SVD dictionary learning method, the proposed method has the superiority in the sparse decomposition of bearing signals.

Key words: rolling bearing, sparse decomposition, alternating direction multiplier method (ADMM), dictionary learning