Gear and bearings fault detection using motor current signature analysis

Author(s):  
Ndeye Gueye Lo ◽  
Abdenour Soualhi ◽  
Marouane Frini ◽  
Hubert Razik
2012 ◽  
Vol 6 (3/4) ◽  
pp. 261 ◽  
Author(s):  
Amiya Ranjan Mohanty ◽  
Prasanta Kumar Pradhan ◽  
Nitaigour P. Mahalik ◽  
Sabyasachi G. Dastidar

2020 ◽  
Vol 10 (21) ◽  
pp. 7550
Author(s):  
Vincent Becker ◽  
Thilo Schwamm ◽  
Sven Urschel ◽  
Jose Alfonso Antonino-Daviu

Pumps have a wide range of applications. Methods for fault detection of motors are increasingly being used for pumps. In the context of this paper, a test bench is built to investigate circulation pumps for faults. As a use case, the fault of impeller clogging was first measured and then examined with the help of motor current signature analysis. It can be seen that there are four frequencies at which there is an increase in amplitude in case of a fault. The sidebands around the supply frequency are in particular focus. The clogging of three and four of a total of seven channels leads to the highest amplitudes at the fault frequencies. The efficiency is reduced by 9 to 15% in case of faulty operation. These results indicate that the implementation of fault detection algorithms on the pump electronics represents added value for the pump operator. Furthermore, the results can be transferred to other applications.


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