Two-Dimensional Tri-stable Stochastic Resonance system and its application in bearing fault detection

2022 ◽  
pp. 126855
Author(s):  
Gang Zhang ◽  
Xiaoman Liu ◽  
Tianqi Zhang
Keyword(s):  
Fault Detection ◽  
Stochastic Resonance ◽  
Two Dimensional ◽  
Resonance System ◽  
Bearing Fault ◽  
Bearing Fault Detection

An enhanced stochastic resonance method for weak feature extraction from vibration signals in bearing fault detection

2013 ◽  
Vol 228 (5) ◽  
pp. 815-827 ◽  
Author(s):  
Yaguo Lei ◽  
Jing Lin ◽  
Dong Han ◽  
Zhengjia He
Keyword(s):  
Feature Extraction ◽  
Fault Detection ◽  
Stochastic Resonance ◽  
Industrial Applications ◽  
Wheel Pair ◽  
Vibration Signals ◽  
Bearing Fault ◽  
Bearing Fault Detection ◽  
Fault Features ◽  
Bearing Vibration

Rolling element bearings are widely used in modern machinery and play an important role in industrial applications. Tough environments under which they work make them subject to failure. The classical strategy is to collect bearing vibration signals and denoise the signals to detect fault features by using signal processing techniques. Although the noise is reduced with this strategy, the fault features may be weakened or even destroyed as well. Different from the classical denoising techniques, stochastic resonance is able to extract weak features embedded in heavy noise by utilizing noise instead of eliminating noise. The single stochastic resonance, however, fails to extract the fault features when the signal-to-noise ratio of the bearing vibration signals is very low. To address this problem, this paper investigates the enhancement methods of stochastic resonance and develops a cascaded stochastic resonance-based weak feature extraction method for bearing fault detection. Two sets of vibration signals collected respectively from an experimental bearing and a bearing inside a train wheel pair are utilized to demonstrate the proposed method. The results show that the method is superior to the other enhancement methods in extracting weak features of bearing faults.

Sound-aided vibration weak signal enhancement for bearing fault detection by using adaptive stochastic resonance

2019 ◽  
Vol 449 ◽  
pp. 18-29 ◽  
Author(s):  
Siliang Lu ◽  
Ping Zheng ◽  
Yongbin Liu ◽  
Zheng Cao ◽  
Hui Yang ◽  
...  
Keyword(s):  
Fault Detection ◽  
Stochastic Resonance ◽  
Signal Enhancement ◽  
Weak Signal ◽  
Bearing Fault ◽  
Bearing Fault Detection
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