%0 Journal Article %1 noauthororeditor %A Bhowmik, Partha Sarathee %A Pradhan, Sourav %A Prakash, Mangal %D 2013 %J International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE) %K Acquisition Artificial Computer Data Diagnosis Estimation Fast Fault Fourier Fuzzy Induction Logic Measurement Motors Networks Neural Parameter Simulation Transforms Vibration Wavelet %N 1 %P 01-18 %T FAULT DIAGNOSTIC AND MONITORING METHODS OF INDUCTION MOTOR: A REVIEW %U http://airccse.com/ijaceee/papers/1113ijaceee01.pdf %V 1 %X Induction motors are widely used in transportation, mining, petrochemical, manufacturing and in almost every other field dealing with electrical power. These motors are simple, efficient, highly robust and rugged thus offering a very high degree of reliability. But like any other machine, they are vulnerable to faults, which if left unmonitored, might lead to catastrophic failure of the machine in the long run. On-line condition monitoring of the induction motors has been widely used in the detection of faults. This paper delves into the various faults and study of conventional and innovative techniques for induction motor faults with an identification of future research areas.

@article{noauthororeditor, abstract = {Induction motors are widely used in transportation, mining, petrochemical, manufacturing and in almost every other field dealing with electrical power. These motors are simple, efficient, highly robust and rugged thus offering a very high degree of reliability. But like any other machine, they are vulnerable to faults, which if left unmonitored, might lead to catastrophic failure of the machine in the long run. On-line condition monitoring of the induction motors has been widely used in the detection of faults. This paper delves into the various faults and study of conventional and innovative techniques for induction motor faults with an identification of future research areas.}, added-at = {2018-06-28T08:41:49.000+0200}, author = {Bhowmik, Partha Sarathee and Pradhan, Sourav and Prakash, Mangal}, biburl = {https://www.bibsonomy.org/bibtex/27ae1021244fa2f8d16f231c9e47d1056/electical12345}, interhash = {2dc06fe05db15c5af65cd1dc676a217e}, intrahash = {7ae1021244fa2f8d16f231c9e47d1056}, issn = {2394 - 0816}, journal = {International Journal of Applied Control, Electrical and Electronics Engineering (IJACEEE)}, keywords = {Acquisition Artificial Computer Data Diagnosis Estimation Fast Fault Fourier Fuzzy Induction Logic Measurement Motors Networks Neural Parameter Simulation Transforms Vibration Wavelet}, language = {English}, month = may, number = 1, pages = {01-18}, timestamp = {2018-06-28T08:41:49.000+0200}, title = {FAULT DIAGNOSTIC AND MONITORING METHODS OF INDUCTION MOTOR: A REVIEW}, url = {http://airccse.com/ijaceee/papers/1113ijaceee01.pdf}, volume = 1, year = 2013 }