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Switch Open Fault Diagnosis of Inverter Using Features of dq Currents  

Kwak, Nae-Joung (Dept. of Electronics Eng. Hanbat National University)
Hwang, Jae-Ho (Dept. of Electronics Eng. Hanbat National University)
Hong, Won-Pyo (Dept. of Building Service Eng. Hanbat National University)
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Abstract
Faults of motor drive systems to be used for various industrial applications can cause serious problems. In this paper, a method to diagnose switch open fault of a voltage-fed PWM inverter is proposed. The proposed method normalizes dq current and fault-detection and first classification are performed by mean values of dq phase currents, second classification is performed by features such as the relation of dq phase currents, the ranges of those, the positions of those according to the results, and fault switch is diagnosed with the results. The proposed method performs the simulation for diagnosis of inverter switch open faults with MATLAB and identifies the feasibility of the proposed method. Because the proposed method is implemented by simple algorithms, the proposed algorithm can be embedded in general induction motor drive systems and be used.
Keywords
fault diagnosis; inverter; dq current; switch;
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1 J. Kima, "Analytical investigation of an induction motor drive under inverter fault mode operations", IEE proc. Electr. Power Appl., vol 150, no. 3, 2003.
2 R. L A. Ribeiro. etc, "Fault detection of Open-Switch Damage in voltage-Fed PWM Motor Drive Systems", IEEE Transactions of Power Electronics, vol. 18, no.2, March 2003.
3 L. Zhang, L. B. Aris, and I. N. Hulley, "A knowledge-based system for on-line fault diagnosis of power inverter circuits for AC machine drive", Proc. EPE'92, vol. 3, pp. 334-339, 1992.
4 R. Peuget, S. Courtine and J.P. Rognon, "Fault detection and isolation on a pwm inverter by knowledge-based model", IEEE Trans. on Industry Applications, vol. 34, no. 6, Nov/Dec 1998.
5 D. Diallo, M. E. H. Benbouzid, D. Hamad, and X. Pierre, "Fault detection and diagnosis in an induction machine drive: a patern recognition approach based on concordia stator mean current vector," IEEE Trans. on Energy Conv., vol. 20, no. 3, Sept. 2005, pp. 512-519   DOI   ScienceOn
6 M. E. H. Benbouzid, G. B. Kliman, "What stator current processing-based technique to use for induction motor rotor faults diagnosis?," IEEE Trans. On energy Conv., vol. 18, no. 2, June 2003, pp. 238-244   DOI   ScienceOn
7 K. Debebe, V. Rajagopalan and T. S. Snakar, "Expert systems for fault diagnosis of VSI fed ac drives," Proc. IAS'91 Conf., pp. 368-373, 1991.
8 H. Nejjaro et al., "Monitoring and diagnosis of induction motors electrical faults using a current Park's vector pattern learning approach," IEEE Trans. Industry Application, vol. 36, no. 3, 2000.
9 A. M. .S . Mendes, A. J. M. Cardoso., and E. S. Saravis, "Voltage source inverter fault diagnosis in variable speed AC drives, by the average current Park's vector approach," International Conf. IEMD., 1999, pp.704-706
10 D. Kastha, B. K.Bose, "Investigation of Fault Modes of Voltage-Fed Inverter System for Induction Motor Drive", IEEE Trans. On Industrial Applications, Vol. 30, No. 4, 1994, July/August