Fault severity assessment of rolling bearing based on optimized multi-dictionaries matching pursuit and Lempel-Ziv complexity

Peng-Fei Dang; Zheng-Xin Yang; Bao-Gang Wen; Ming-Gang Wang; Qing-Kai Han

doi:10.1016/j.isatra.2021.01.042

Fault severity assessment of rolling bearing based on optimized multi-dictionaries matching pursuit and Lempel-Ziv complexity

ISA Trans. 2021 Oct:116:191-202. doi: 10.1016/j.isatra.2021.01.042. Epub 2021 Jan 25.

Authors

Peng-Fei Dang¹, Zheng-Xin Yang², Bao-Gang Wen³, Ming-Gang Wang¹, Qing-Kai Han⁴

Affiliations

¹ School of Mechanical and Power Engineering, Shenyang University of Chemical Technology, Shenyang, PR China.
² School of Mechanical and Power Engineering, Shenyang University of Chemical Technology, Shenyang, PR China. Electronic address: zhengxin1021@sina.com.
³ School of Mechanical Engineering and Automation, Dalian Polytechnic University, Dalian, PR China.
⁴ School of Mechanical Engineering, Northeastern University, Shenyang, PR China.

PMID: 33612273
DOI: 10.1016/j.isatra.2021.01.042

Abstract

For the safe working of rolling bearing, this paper presents a fault severity assessment method through optimized multi-dictionaries matching pursuit (OMMP) and Lempel-Ziv (LZ) complexity. To solve the redundancy problem of over-complete dictionary, the OMMP is proposed by introducing the quantum particle swarm optimization into matching pursuit for best representing the original vibration signal. And then, LZ complexity is calculated as an index of fault severity assessment by reconstructed signal. The performance of assessment method is verified through the measured signals of three bearing tests, and the comparisons with various methods are specifically described. The results indicate that the OMMP method averagely takes the shortest running time for the vibration signal decomposition. The assessment method is able to effectively evaluate different fault sizes of rolling bearing, and has a great applicability to in the condition-based maintenance of rotating machineries.

Keywords: Fault severity assessment; Lempel–Ziv complexity; Optimized multi-dictionaries matching pursuit; Quantum particle swarm optimization; Rolling bearing.