A fault diagnosis approach for roller bearing based on VPMCD under variable speed condition

Measurement ◽  
2013 ◽  
Vol 46 (8) ◽  
pp. 2306-2312 ◽  
Author(s):  
Yu Yang ◽  
Huanhuan Wang ◽  
Junsheng Cheng ◽  
Kang Zhang
Keyword(s):  
Fault Diagnosis ◽  
Roller Bearing ◽  
Variable Speed ◽  
Speed Condition ◽  
Diagnosis Approach

Rolling Bearing Fault Diagnosis by Aperiodic Stochastic Resonance Under Variable Speed Conditions

2021 ◽  
Author(s):  
Xuzhu Zhuang ◽  
Chen Yang ◽  
Jianhua Yang ◽  
Chengjin Wu ◽  
Zhen Shan ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Stochastic Resonance ◽  
Fault Simulation ◽  
Rolling Bearing ◽  
Damping Coefficient ◽  
Variable Speed ◽  
Rolling Bearings ◽  
Bearing Fault ◽  
Speed Condition ◽  
Fault Characteristic

The fault characteristic of rolling bearings under variable speed condition is a typical non-stationary stochastic signal. It is difficult to extract due to the interference of strong background noise makes the applicability of traditional noise reduction methods less. In this paper, an aperiodic stochastic resonance (ASR) method is proposed to study the fault diagnosis of rolling bearings under variable speed conditions. Based on numerical simulation, the effect of noise intensity and damping coefficient on the ASR of the second-order underdamped system is discussed, and an appropriate damping coefficient is found to reach the optimal ASR. The proposed method enhances the fault characteristic information of bearing fault simulation signal. Corresponding to rising-stationary and the stationary-declining running conditions, the method is verified by both simulated and experimental signals. It provides reference for fault diagnosis under variable speed condition.

A fault diagnosis approach for roller bearing based on symplectic geometry matrix machine

2019 ◽  
Vol 140 ◽  
pp. 31-43 ◽  
Author(s):  
Haiyang Pan ◽  
Yu Yang ◽  
Jinde Zheng ◽  
Xin Li ◽  
Junsheng Cheng
Keyword(s):  
Fault Diagnosis ◽  
Symplectic Geometry ◽  
Roller Bearing ◽  
Diagnosis Approach
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