scholarly journals Research on Fault Diagnosis System of a Diesel Engine Based on Wavelet Analysis and LabVIEW Software

2014 ◽  
Vol 7 (18) ◽  
pp. 3821-3836
Author(s):  
Eidam Ahmed Hebiel ◽  
Zhu Zhou ◽  
Dong Sheng Wang ◽  
Liu Jie ◽  
Mohamed Ahmed Elbashier ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Diesel Engine ◽  
Wavelet Analysis ◽  
Diagnosis System ◽  
Labview Software ◽  
Fault Diagnosis System

Fault Diagnosis System of Rolling Bearing Based on Wavelet Analysis

2012 ◽  
Vol 166-169 ◽  
pp. 951-955 ◽  
Author(s):  
Li Na Wang ◽  
Hong Bo Wang ◽  
Yong Hui Cai ◽  
Shi Long Wang
Keyword(s):  
Fault Diagnosis ◽  
Wavelet Analysis ◽  
Friction Pair ◽  
Surface Damage ◽  
Rolling Bearing ◽  
Rolling Bearings ◽  
Diagnosis System ◽  
Stationary Signals ◽  
Diagnosis Method ◽  
Fault Diagnosis System

According to the characteristics of fault vibration of rolling bearing (non-stationary signals), a method of fault diagnosis based on wavelet analysis is put forward. In the method, the signals included faulty information of rolling bearing are decomposed and reconstructed by Matlab software, and by zoom frequency spectrum analysis, the fault information composition of the rolling bearings can be extracted effectively to determine the faulty type of the rolling bearings. Based on the above, an applicable fault diagnosis system for rolling bearing with surface damage in friction pair was developed. It has been proven by practice that the diagnosis method of system is surefire and its results are stable and reliable. Through being improved and expanded，the system can be applied to collect and analyze other vibration signals.

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