Abstract
A stator fault of induction motor occurs due to the breakdown of insulation, meaning the stator is directly connected with the power supply, and the direct connection is a direct cause of a major accident. For this reason, many studies are being performed to detect the faults. As for the existing studies on stator fault detection, they are being performed considering the possibility of stator fault only, excluding the possibility of rotor fault. It is necessary to identify and detect whether a stator (or rotor) fault is the cause of the electrical fault. This paper suggested a new algorithm that identifies the causes of stator faults with the use of the change in the duty ratio of the half-period frequency of the frequency when a phase angle change occurs at that moment. Also, by applying the algorithm to the fault of the rotor, it was also possible to grasp their fault state and to identify accurately whether a stator (or rotor) fault is the cause of an electrical fault.
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References
Arkan, M., Perovic, D. K., & Unsworth, P. (2001). Online stator fault diagnosis in induction motors. IEE Proceedings: Electric Power Applications, 148, 537–547.
Awadallah, M. A., Marcos, M. M., Gopalakrishnan, S., & Nehl, T. W. (2006). Detection of stator short circuits in VSI-fed brushless DC motors using wavelet transform. IEEE Transactions on Energy Conversion, 21(1), 1–8.
Bakhri, S., Ertugrul, N., & Soong, W. L. (2012, October). Negative sequence current compensation for stator shorted turn detection in induction motors. In IECON 2012—38th Annual Conference on IEEE Industrial Electronics Society.
Filippetti, F., Frauceschini, G., Tassoni, C., & Vas, P. (2006). Recent developments of induction motor drives fault diagnosis using AI techniques. IEEE Transactions on Energy Conversion, 21(1), 1–5.
Go, Y. J., Lee, B., Song, M. H., & Kim, K. M. (2014). A stator fault diagnosis of an induction motor based on the phase angle of park’s vector approach. Institute of Control, Robotics and Systems (in Korean), 20(4), 408–413.
Kliman, G. B., Premerlani, W. J., Koegl, R. A., & Hoeweler, D. (2000). Sensitive, on-line turn-to-turn fault detection in AC motors. Electric Machines and Power Systems, 28, 915–927.
Kohler, J. L., Sottile, J., & Trutt, F. C. (2002). Condition monitoring of stator windings in induction motors: Part I—Experimental investigation of the effective negative-sequence impedance detector. IEEE Transactions on Industry Applications, 38, 1447–1453.
Lee, S. B., Tallam, R. M., & Habetler, T. G. (2003). A robust, on-line turnfault detection technique for induction machines based on monitoring the sequence component impedance matrix. IEEE Transactions on Power Electronics, 18, 865–872.
Song, M. H., Park, K. N., Han, D. G., & Yang, C. O. (2008). Auto-diagnosis for stator winding faults using distortion ratio of Park’s vector pattern. The Transactions of the KIEE (in Korean), 57, 2.
Tallam, R. M., Habetler, T. G., & Harley, R. G. (2002). Transient model for induction machines with stator winding turn faults. IEEE Transactions on Industry Applications, 38, 632–637.
Tallam, R. M., Habetler, T. G., Harley, R. G., Gritter, O. J., & Burton, B. H. (2000). Neutral network based on-line stator winding turn fault detection for induction motors. In Proceeding of IEEE IAS Annual Meeting, YoU, pp. 375–380.
Acknowledgments
This study was supported by the Ministry of Trade, Industry and Energy(MOTIE) through the Regional Innovation Centre Programme.
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Go, Y., Song, MH., Kim, JY., Choi, W., Lee, B., Kim, KM. (2017). A New Algorithm for Analyzing Method of Electrical Faults of Three-Phase Induction Motors Using Duty Ratios of Half-Period Frequencies According to Phase Angle Changes. In: Zhang, D., Wei, B. (eds) Mechatronics and Robotics Engineering for Advanced and Intelligent Manufacturing. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-33581-0_23
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DOI: https://doi.org/10.1007/978-3-319-33581-0_23
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