Electrical faults and their effects on induction machines

Ahmed M Alturas

المؤلفون

Ahmed M Alturas Electrical and Electronic Department, Faculty of Engineering Misurata University, Libya

الكلمات المفتاحية:

Induction machines، condition monitoring، fault diagnosis

الملخص

Induction machines are commonly used as "backbones" in industrial applications and power systems. Although these devices have high reliability, they are usually subject to abnormal operating conditions that may lead to parameter changes. In this paper, effects of some electrical faults, open-circuit and short-circuit faults, on induction machine parameters are discussed in detail. It has been shown that, the envelope produced in stator currents has a different profile and frequency depending on the fault location. These effects can be used when monitoring the condition of the machine to reduce the time required to diagnose the malfunction. MATLAB SIMULINK is used to analyse and simulate the induction machine under both healthy and faulty conditions.

المراجع

Y. Zhang and H. Yang, "Model-predictive flux control of induction motor drives with switching instant optimization," IEEE Trans. Energy Convers., vol. 30, pp. 1113-1122, 2015.

R. Jiayang and W. Shanming, "A Prediction Error Method-Based Self-Commissioning Scheme for Parameter Identification of Induction Motors in Sensorless Drives," IEEE Trans. Energy Convers., vol. 30, pp. 384-393, 2015.

M. E. H. Benbouzid, "H-G diagram based rotor parameters identification for induction motors thermal monitoring," IEEE Trans. Energy Convers., vol. 15, pp. 14-18, 2000.

B. Liang, et al., "Simulation and fault detection of three-phase induction motors," Mathematics and computers in simulation, vol. 61, pp. 1-15, 2002.

A. M. Alturas, et al., "On the identifiability of steady-state induction machine models using external measurements," IEEE Trans. Energy Convers., vol. 31, pp. 251-259, 2015.

A. M. Alturas, et al., "Structural Identifiability Analysis of Steady-State Induction Machine Models," in 2015 4th International Conference on Electric Power and Energy Conversion Systems (EPECS), 2015, pp. 1-6.

E. Laroche and M. Boutayeb, "Identification of the induction motor in sinusoidal mode," IEEE Trans. Energy Convers., vol. 25, pp. 11-19, 2009.

P. Vas, Electrical Machines and Drives: A space-vector theory appraoch. Oxford: Oxford University Press, 1992.

Q. Lu, et al., "Model of stator inter-turn short circuit fault in doubly-fed induction generators for wind turbine," in 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No. 04CH37551), 2004, pp. 932-937.

S. Chen and R. Živanović, "Modelling and simulation of stator and rotor fault conditions in induction machines for testing fault diagnostic techniques," European Transactions on Electrical Power, vol. 20, pp. 611-629, 2010.

P. Santos, et al., "A simplified induction machine model to study rotor broken bar effects and for detection," in 2006 37th IEEE Power Electronics Specialists Conference, 2006, pp. 1-7.

A. Bellini, et al., "Quantitative evaluation of induction motor broken bars by means of electrical signature analysis," IEEE Trans. Ind. Appl., vol. 37, pp. 1248-1255, 2001.

X. Chang, et al., "A model of asynchronous machines for stator fault detection and isolation," IEEE transactions on industrial electronics, vol. 50, pp. 578-584, 2003.

C. Xianrong, et al., "A model of asynchronous machines for stator fault detection and isolation," IEEE Trans. Ind. Elect., vol. 50, pp. 578-584, 2003.

R. M. Tallam, et al., "Transient model for induction machines with stator winding turn faults," in Industry Applications Conference, 2000. Conference Record of the 2000 IEEE, 2000, pp. 304-309 vol.1.

R. M. Tallam, et al., "Transient model for induction machines with stator winding turn faults," IEEE Trans. Ind. Appl., vol. 38, pp. 632-637, 2002.

S. M. A. Cruz and A. J. M. Cardoso, "Multiple Reference Frames Theory: A New Method for the Diagnosis of Stator Faults in Three-Phase Induction Motors," IEEE Trans. Energy Convers., vol. 20, pp. 611-619, 2005.

P. M. Santos, et al., "A Simplified Induction Machine Model to Study Rotor Broken Bar Effects and for Detection," in Power Electronics Specialists Conference, 2006. PESC '06. 37th IEEE, 2006, pp. 1-7.

S. Chen and R. Živanović, "Modelling and simulation of stator and rotor fault conditions in induction machines for testing fault diagnostic techniques," European Transactions on Electrical Power, vol. 20, pp. 611-629, 2009.

S. A. Ethni, et al., "Induction machine winding faults identification using Bacterial Foraging Optimization technique," in 7th IET International Conference on Power Electronics, Machines and Drives (PEMD), 2014, pp. 1-6.

M. Alamyal, et al., "Detection of induction machine winding faults using genetic algorithm," in 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013, pp. 157-161.

B. Mirafzal and N. A. O. Demerdash, "Induction machine broken-bar fault diagnosis using the rotor magnetic field space-vector orientation," Industry Applications, IEEE Transactions on, vol. 40, pp. 534-542, 2004.

B. Mirafzal and N. A. Demerdash, "Effects of load magnitude on diagnosing broken bar faults in induction motors using the pendulous oscillation of the rotor magnetic field orientation," IEEE Trans. Ind. Appl., vol. 41, pp. 771-783, 2005.