International Journal of Mathematical, Engineering and Management Sciences

ISSN: 2455-7749

Conditional Monitoring of Switched Reluctance Motor for Static and Dynamic Eccentricity Faults with Fault Isolation

Aduru Veera Reddy
Department of Electrical and Electronics Engineering, Pondicherry Engineering College, Pondicherry, India.

Balasubramanian Mahesh Kumar
Department of Electrical and Electronics Engineering, Pondicherry Engineering College, Pondicherry, India.

DOI https://dx.doi.org/10.33889/IJMEMS.2019.4.3-053

Received on December 17, 2018
  ;
Accepted on March 21, 2019

Abstract

In this paper, the proposed technique interlinking Proteus and Arduino is a novel and cost-effective strategy helps to identify the fault and protect the machine by giving the signal for isolation from supply, it is suitable for all industrial applications. The fault tolerance of the switched reluctance motor is high, but cannot be acclaimed for absolute and should be analyzed under different operating conditions. It is preliminary to examine and diagnose the eccentricity to achieve the smooth running of the motor. The Emulation results for the proposed model successfully exhibited the type of fault, location and also give the details of emergency of repair in a particular section based on the severity of fault in that location. This is a simple and powerful integrated technique feasible to use in all types of laboratory, industrial and research and development applications.

Keywords- Eccentricity, Emulator, Isolation, Proteus.

Citation

Reddy, A. V., & Kumar, B. M. (2019). Conditional Monitoring of Switched Reluctance Motor for Static and Dynamic Eccentricity Faults with Fault Isolation. International Journal of Mathematical, Engineering and Management Sciences, 4(3), 671-682. https://dx.doi.org/10.33889/IJMEMS.2019.4.3-053.

Conflict of Interest

The authors confirm that there is no conflict of interest to publish the paper in the journal.

Acknowledgements

The author would like to express sincere thanks to the referees for their valuable suggestions towards the improvement of the paper.

References

Raj, P.G., Esakki , B., & Ganesan, S. (2019). Evaluation of mechanical strength characteristics of double ducted unmanned amphibious aerial vehicle using finite element analysis. International Journal of Mathematical, Engineering and Management Sciences, 4(2), 420-431.

Drif, M.H., & Cardoso, A.M. (2008). Airgap-eccentricity fault diagnosis, in three-phase induction motors, by the complex apparent power signature analysis. IEEE Transactions on Industrial Electronics, 55(3), 1404-1410.

Gunji, B.M., Deepak, B.B.V.L., Khamari, B.K., & Biswal, B.B. (2019). CAD-based automatic clash analysis for robotic assembly. International Journal of Mathematical, Engineering and Management Sciences, 4(2), 432-441.

Faiz, J., Ebrahimi, B.M., & Toliyat, H.A. (2009). Effect of magnetic saturation on static and mixed eccentricity fault diagnosis in induction motor. IEEE Transactions on Magnetics, 45(8), 3137–3144.

Faiz, J., & Pakdelian, S. (2008). Diagnosis of static eccentricity in switched reluctance motors based on mutually induced voltages. IEEE Transactions on Magnetics, 44(8), 2029-2034.

Hong,J., Lee, S.B., Kral, C., & Haumer, A. (2012). Detection of airgap eccentricity for permanent magnet synchronous motors based on the d-axis inductance. IEEE Transactions on Power Electronics, 27(5), 2605-2612.

Gunwant, D. (2019). Stress concentration studies in flat plates with rectangular cut-outs using finite element method. International Journal of Mathematical, Engineering and Management Sciences, 4(1), 66-76.

Lee, S.B., Hyun, D., Kang, T.J., Yang, C., Shin, S., Kim, H., Park, S., Kong, T., & Kim, H.D. (2016) identification of false rotor fault indications produced by online MCSA for medium-voltage induction machines. IEEE Transactions on Industrial Applications, 52(1), 729–739.

Li, J., Choi, D., & Cho,Y. (2009). Analysis of rotor eccentricity in switched reluctance motor with parallel winding using FEM. IEEE Transactions on Magnetics, 45(6), 2851–2854.

Ikpe, A.E., Orhorhoro, E.K., & Gobir, A. (2017). Design and reinforcement of a b-pillar for occupants safety in conventional vehicle applications. International Journal of Mathematical, Engineering and Management Sciences, 2(1), 37-52.

Park, J.K., & Hur, J. (2016). Detection of inter-turn and dynamic eccentricity faults using stator current frequency pattern in IPM-type BLDC motors. IEEE Transactions on Industrial Electronics, 63(3), 1771–1780.

Sheth, N.K., & Rajagopal, K.R. (2005). Variations in overall developed torque of a switched reluctance motor with air gap nonuniformity. IEEE Transactions on Magnetics, 41(10), 3973–3975.

Singh, S., & Kumar, N. (2017). Detection of bearing faults in mechanical systems using stator current monitoring . IEEE Transactions on Industrial Informatics, 13(3), 1341-1349.

Khamari, B.K., Gunji, B., Karak, S.K., & Biswal, B.B. (2019). Variation of microstructural and mechanical properties with respect to polarity in shielded metal arc welding of mild steel. International Journal of Mathematical, Engineering and Management Sciences, 4(2), 521-530.

Yahia, K., Sahraoui, M., Cardoso, A.J.M.., & Ghoggal, A. (2016). The use of a modified Prony's method to detect the airgap eccentricity occurrence in induction motors. IEEE Transaction on Industrial Applications, 52(5), 3869–3877.

Pasam, G.K., Ghnimi, S.A., Maskari, A.N.K.A., & Habsi, Z.A.O.A. (2016). Development of a black box model for the monitoring of vehicle accident and speed. International Journal of Engineering Applied Sciences and Technology, 1(9), 124-130.

Privacy Policy| Terms & Conditions