FAULT DIAGNOSIS OF THREE-PHASE INDUCTION MOTORS BASED ON VIBRATION AND ELECTRICAL CURRENT SIGNALS
DOI:
https://doi.org/10.11113/jt.v78.7447Keywords:
Induction motor (IM), fault diagnosis, electrical current setup, vibration setupAbstract
Induction motors (IM) as a critical component of many industrial processes are subjected to issues such as aging motors, high reliability requirements, and cost competitiveness. Therefore, many research efforts have been focused on fault detection in IMs. The main specification of this paper involves fault detection of three phase IMs using vibration and electrical current setup. This paper compares the results obtained by vibration and electrical current setup in order to a better understanding of fault detection setups’ operation in induction machines. The experimentation was performed on two faulty and one healthy squirrel cage motor. A number of data was captured through the labVIEW software. Principal Component Analysis (PCA) was employed for feature extraction to classify the faults of IMs. Most vibration hardware systems are relatively costly and difficult to set up, but they resulted in significantly higher accurate and classified data in comparison to the results of current setup.Â
Â
References
Hachemi, E. l, Benbouzid, M. 2000. A Review Of Induction Motors Signature Analysis As A Medium For Faults Detection. Industrial Electronics. IEEE Transactions. 47: 984-93.
Yamamura, S. 1979. Theory Of Linear Induction Motors. New York: Halsted Press. 246.
Bonnett, A. H, Yung, C. 2008. Increased Efficiency Versus Increased Reliability. Industry Applications Magazine. IEEE. 14: 29-36.
Shashidhara, S, Raju, P. 2013. Stator Winding Fault Diagnosis of Three-Phase Induction Motor by Parks Vector Approach. International Journal of Advanced Research in Electrical. Electronics and Instrumentation Engineering.
Cusidó, J, Romeral, L, Ortega, J.A, Garcia, A, Riba, J. 2011. Signal Injection As A Fault Detection Technique. Sensors. 11: 3356-80.
Mustafa, M. O, Nikolakopoulos, G, Gustafsson, T, Kominiak, D. 2016. A Fault Detection Scheme Based On Minimum Identified Uncertainty Bounds Violation For Broken Rotor Bars In Induction Motors. Control Engineering Practice. 48: 63-77.
Thomson, W. T, Fenger, M. 2001. Current Signature Analysis To Detect Induction Motor Faults. Industry Applications Magazine. IEEE. 7: 26-34.
Thomson, W, Rankin, D, Dorrell, D. 1999. On-Line Current Monitoring To Diagnose Airgap Eccentricity In Large Three-Phase Induction Motors-Industrial Case Histories Verify The Predictions. Energy Conversion. IEEE Transactions. 14: 1372-8.
Schoen, R. R, Habetler, T. G, Kamran, F, Bartfield, R. 1995. Motor Bearing Damage Detection Using Stator Current Monitoring. Industry Applications. IEEE Transactions. 31: 1274-9.
Thollon, F, Grellet, G, Jammal, A. 1993. Asynchronous Motor Cage Fault Detection Through Electromagnetic Torque Measurement. European Transactions on Electrical Power. 3: 375-8.
Beguenane, R, Benbouzid, M. E. H. 1999. Induction Motors Thermal Monitoring By Means Of Rotor Resistance Identification. Energy Conversion. IEEE Transactions. 14: 566-70.
Lee, Y-S, Nelson, J., Scarton, H., Teng, D., Azizi-Ghannad, S. 1994. An Acoustic Diagnostic Technique For Use With Electric Machine Insulation. Dielectrics and Electrical Insulation. IEEE Transactions. 1: 1186-93.
Stone, G. C, Sedding, H. G, Costello, M. J. 1996. Application Of Partial Discharge Testing To Motor And Generator Stator Winding Maintenance. Industry Applications. IEEE Transactions. 32: 459-64.
Kano, M., Nakagawa, Y. 2008. Data-based Process Monitoring, Process Control, And Quality Improvement: Recent Developments And Applications In Steel Industry. Computers & Chemical Engineering. 32: 12-24.
Garcia-Ramirez, A. G, Osornio-Rios, R. A, Granados-Lieberman, D, Garcia-Perez, A, Romero-Troncoso, R. J. 2012. Smart Sensor For Online Detection Of Multiple-Combined Faults In VSD-Fed Induction Motors. Sensors. 12: 11989-2005.
Corres, J. M, Bravo, J, Arregui, F. J, Matias, I. R. 2006. Vibration Monitoring In Electrical Engines Using An In-Line Fiber Etalon. Sensors and Actuators A: Physical. 132: 506-15.
Han, T, Yang, B. S, Choi, W. H, Kim, J. S. 2006. Fault Diagnosis System Of Induction Motors Based On Neural Network And Genetic Algorithm Using Stator Current Signals. International Journal of Rotating Machinery.
Sharifi, R, Ebrahimi, M. 2011. Detection Of Stator Winding Faults In Induction Motors Using Three-Phase Current Monitoring. ISA Transactions. 50: 14-20.
Seera, M., Lim, C. P., Nahavandi, S., Loo, C. K. 2014. Condition Monitoring Of Induction Motors: A Review And Applications An Ensemble Of Hybrid Intelligent Models. Expert Systems With Applications. 41: 4891-4903.
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.
