Non-invasive Techniques for Induction Motor Fault Detection
Ielyzaveta Chernyavska1 , OndĜej Vítek ,“Analysis of Broken Rotor Bar Fault in a SquirrelCage Induction Motor by Means of Stator Current and Stray Flux Measurement”,International Power Electronics and Motion Control Conference,24 November 2016,IEEE.
Dubravko, miljković, hep, zagreb, croatia,“Brief review of motor current signature analysis”.
Mohamed El Hachemi Benbouzid “A review of induction motors signature analysis as a medium for fault detection”,IEEE transactions on industrial electronics, vol. 47, no. 5, october 2000.
W. T. Thomson and R. J. Gilmore,“Motor Current Signature Analysis to Detect Faults in Induction Motor Drives – Fundamentals, Data Interpretation, and Industrial Case Histories”, Proceeding of the Thirty-Second Turbomachin¬ery Symposium, Houston, Texas, Sept. 2003.
T. CH. Anil Kumar,Gurmeet Singh,V. N. A. Naikan, “Effectiveness of Vibration and Current Monitoring in detecting Broken Rotor Bar and Bearing Faults in an Induction Motor”,International Conference on Power Systems,06 October 2016,IEEE.
Ielyzaveta Ishkova,Ondřej Vítek,“Diagnosis of eccentricity and broken rotor bar related faults of induction motor by means of motor current signature analysis”,International Scientific Conference on Electric Power Engineering,2015,IEEE.
N Mehala and R. Dahiya,“Motor Current Signature Analysis and its Applications in Induction Motor Fault Diagnosis”, International Journal of Systems Applications, Engineering & Development, Volume 2, Issue 1, 2007, pp. 20-35.
Vittaya Tipsuwanporn, Mongkol Leawsoong, Arjin Numsomran, and Chanwit Wongratanapornkul, “Fault Detection In compressor Using FFT Algorithm”, Proceedings of the World Congress on Engineering and Computer Science 2013 Vol I WCECS 2013, 23-25 October, 2013.
A Singhal and M A. Khandekar, “Bear¬ing Fault Detection in Induction Motor Using Motor Current Signature Analysis”,International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering ,Vol. 2, Issue 7, , pp. 3258-3264, July 2013.
E. J. Thornton and J. K. Armintor, “The fundamentals of AC electric induction motor design and application”, Proceedings of twentieth international pump users symposium, Houston, Texas, March 17-20, 2000.
M.Kathiravan, K.Prakasam,“Motor current signature analysis based Fault diagnosis of induction motor”,International Journal of Power Control and Computation(IJPCSC),Vol 6. No.2 – Jan-March 2014 Pp. 56-62,gopalax Journals, Singapore.
Prakasam and K. Sramesh ,“Investigation of Induction Motor Stator Faults Using Motor Current Signature Analysis and Multisim”, Middle-East Journal of Scientific Research 23 (2): 277-284, 2015.
Jordi CUSIDO,Javier ROSERO,Emiliano ALDABAS,Juan Antonio ORTEGA,Luis ROMERAL,“New Fault Detection techniques for induction motors”,Electrical power quality and utilization,Vol.2,No.1,2006.
Danilo Granda , Wilbert G. Aguilar, Diego Arcos-Aviles , and Danny Sotomayor , “Broken Bar Diagnosis for Squirrel Cage Induction Motors Using Frequency Analysis Based on MCSA and Continuous Wavelet Transform”,Mathematical and Computational Applications.,April,2017.
Kuldeep R. Sanap S.R. Paraskar, S.S. Jadhao,“Broken rotor bar fault diagnosis of induction motor by signal processing techniques”, International Journal of Electrical Engineering & Technology (IJEET) Volume 8, , pp. 57–67,Issue 1, January- February 2017.
K. Prakasam, S. Ramesh ,“Testing and Analysis of Induction Motor Electrical Faults Using Current Signature Analysis”, Circuits and Systems, July ,2016.
T Ch Anil Kumar, Gurmeet Singh , and V N A Naikan ,“Effectiveness of vibration monitoring in the health assessment of induction motor”, International Journal of Prognostics and Health Management,,2015.
Mariana iorgulescu, robert beloiu, dumitru cazacu “Vibration Monitoring for Electrical Equipment Faults Detection Using Fast Fourier Transform”, International Conference on Manufacturing Engineering, Quality and Production Systems,2012.
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