A novel dictionary learning approach based on blind source separation basis and its application

作者：Zhang, Jie^*; Li, Shiyun

来源：Advances in Mechanical Engineering, 2017, 9(6): 168781401770300.

DOI：10.1177/1687814017703008

• Dictionary learning
• adaptive parameter blind source separation
• wheel condition monitoring

The early recognition of wheel wear is an important task to the safe and efficient operation of a railway network. This article presents a new dictionary learning approach for wheel condition monitoring based on an adaptive parametric algorithm of blind source separation and extending K-means and singular value decomposition algorithm. Numerical simulations confirm the effectiveness of the proposed method. An experiment of wheel condition monitoring is conducted using a JD-1 wheel/rail simulation facility. Data calculation and theoretical analysis of wheel-rail contact dynamic show that the proposed method can adaptively learn and accurately identify wheel defects and verify the performance of the proposed method.

• 出版日期2017-6-16
• 单位成都大学; 西南交通大学