Fault detection in induction motors based on motor current signature analysis and accelerometer

Author(s):  
Nilashri P. Sakhalkar ◽  
Pragati Korde
2021 ◽  
Vol 5 (1) ◽  
pp. PRESS
Author(s):  
Ramadoni Syahputra ◽  
Hedi Purwanto ◽  
Rama Okta Wiyagi ◽  
Muhamad Yusvin Mustar ◽  
Indah Soesanti

This paper discusses the analysis of the performance of an induction motor using the motor current signature analysis (MCSA) technique. Induction motor is a type of electric machine that is widely used in industry. One of the industries that utilize induction motors is a steam power plant (SPP). The role of induction motors is very vital in SPP operations. Therefore, it is necessary to monitor the performance, stability, and efficiency to anticipate disturbances that can cause damage or decrease the life of the induction motor. MCSA is a reliable technique that can be used to analyze damage to an induction motor. In this technique, the induction motor current signal is detected using a current transducer. The signal is then passed on to the signal conditioning and then into the data acquisition device. The important signal data is analyzed in adequate computer equipment. The results of this analysis determine the condition of the induction motor, whether it is normal or damaged. In this research, a case study was carried out at the Rembang steam power plant, Central Java, Indonesia. The results of the analysis of several induction motors show that most of them are in normal conditions and are still feasible to operate.


Author(s):  
Adrian Georgescu ◽  
P. A. Simionescu

This paper presents the development, results and trainee perception of a laboratory experiment used for diagnosing the occurrence of different faults in impeller-pump induction motors by means of the Motor Current Signature Analysis (MCSA) technique. This is a quintessential experiment, relatively inexpensive and easy to implement, that combines elements of computerized data acquisition, Discrete Fourier Transform analysis and fault identification of electric motors. Following this laboratory exercise, students and trainees are able to understand and apply MCSA to determine common faults of induction motors. The test stand, experimental setup, and test procedure are described with sufficient details in the paper for others to build one of their own.


2020 ◽  
Vol 17 (1) ◽  
pp. 17-21
Author(s):  
Katalin Ágoston

AbstractThis paper presents fault detection techniques, especially the motor current signature analysis (MCSA) which consists of the phase current measurement of the electrical motor’s stator and/or rotor. The motor current signature analysis consists in determining the frequency spectrum (FFT) of the stator current signal and evaluating the relative amplitude of the current harmonics. Sideband frequencies appear in the frequency spectrum of the current, corresponding to each fault. The broken bar is a frequent fault in induction motors with squirrel-cage rotor. It is presented the equivalent circuit for induction motors and the equivalence between the squirrel-cage rotor and the rotor windings. It is also presented an equivalent circuit model for induction motors with squirrel cage rotor, and based on this a Simulink model was developed. It is shown how a broken rotor bar influences the magnetic field around the rotor and through this the stator current. This modification is highlighted through the developed model.


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