Automatic quantitative diagnosis for rolling bearing compound faults via adapted dictionary free orthogonal matching pursuit

Measurement ◽  
2020 ◽  
Vol 154 ◽  
pp. 107474 ◽  
Author(s):  
Wentao Huang ◽  
Yunchuan Jiang ◽  
Hongjian Sun ◽  
Weijie Wang
2015 ◽  
Vol 3 (2) ◽  
pp. 164-175 ◽  
Author(s):  
Huijie Zhu ◽  
Xinqing Wang ◽  
Yanfeng Li ◽  
Mengxi Liu ◽  
Tianshuai Liu

AbstractIn this paper, a new approach to rolling bearing diagnosis is proposed, which applied orthogonal matching pursuit with pulse atoms. Solving orthogonal matching pursuit with pulse atoms (OMP_PA) is an NP-hard problem. With the help of multi-population genetic algorithm, better solution is obtained, and the shortcoming of sensitiveness to parameters setting in genetic algorithm is improved. According to the comparisons with other algorithms, OMP_PA could precisely extract the pulse components, and the interferential components are almost filtered. The experiments show that, OMP_PA could determine the fault location of bearings, and clearly displayed the vibration model. In conclusion, it provides a new way to the diagnosis for bearings.


2020 ◽  
Vol 58 (7) ◽  
pp. 4529-4546
Author(s):  
Ekaterina Shipilova ◽  
Michel Barret ◽  
Matthieu Bloch ◽  
Jean-Luc Boelle ◽  
Jean-Luc Collette

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