FOREX Press I. J. of Electrical & Electronics Research
Support Open Access

Research Article |

Performance Analysis of Permanent Magnet Synchronous Machine due to Winding Failures

Author(s): Sandhya Kulkarni* and Dr. Archana Thosar

Publisher : FOREX Publication

Published : 25 September 2021

e-ISSN : 2347-470X

Page(s) : 76-83




Sandhya Kulkarni*, Department of Electrical Engineering, Govt. College of Engineering, Aurangabad, (M.S.), India; Email: sskulkarni@geca.ac.in

Dr. Archana Thosar, Department of Electrical Engineering, College of Engineering, Pune (M.S.) India; Email: archanagthosar@gmail.com

    [1] Tousizadeh M.; Che, H. S.; Selvaraj J.;Rahim; Ooi ,N. A..Fault-tolerant field-oriented control of three-phase induction motor based on unified feed- forward method. IEEE Transactions on Power Electronics, 2018; vol. 34, no. 8, pp. 7172–7183.
    [2] Gan C, Y; Chen, R; Qu, Z. Yu, Kong W., and Y. Hu. An overview of fault-diagnosis and fault-tolerance techniques for switched reluctance machine systems IEEE Access 2019; vol. 7, pp. 174 822–174 838.
    [3] Tian B.; Mirzaeva , An G.; Q.-T., L. Sun, and D. Se Menov. Fault-tolerant control of a five-phase permanent magnet synchronous motor for industry applications; IEEE Transactions on Industry Applications,2018; vol. 54, no. 4, pp. 3943–3952.
    [4] Yang, H.;Q.-L. Han; X. Ge, L. Ding; Y. Xu; B. Jiang; D. Zhou. Fault tolerant cooperative control of multi-agent systems: A survey of trends and methodologies. IEEE Transactions on Industrial Informatics, 2019.
    [5] S. Yin; B. Xiao; S. X. Ding; D. Zhou. A review on recent development of spacecraft attitude fault tolerant control system IEEE Transactions on Indus- trial Electronics,2016; vol. 63, no. 5, pp. 3311–3320.
    [6] E. Dijoux ; N. Y. Steiner; M. Benne; M.-C. P´era, , B. G. P´erez. A review of fault tolerant control strategies applied to proton exchange membrane fuel cell systems. Journal of Power Sources; 2017, vol. 359, pp. 119–133.
    [7] M. Bourogaoui; H. B. A. Sethom; I. S. Belkhodja. Speed/position sensor fault tolerant control in adjustable speed drives–a review, ISA transactions, 2016; vol. 64, pp. 269–284.
    [8] Jlassi; J. O. Estima; S. K. El Khi; , N. M. Bellaa; A. J. M. Cardoso. A robust observer-based method forIGBTs and current sensors fault diagnosis in voltage-source inverters of pmsm drives IEEE Transactions on Industry Applications;2016; vol. 53, no. 3, pp. 2894–2905.
    [9] M. A. Mazzoletti; G. R. Bossio; C. H. De Angelo; D. R. Espinoza-Trejo. A model-based strategy for interturn short-circuit fault diagnosis in pmsm. IEEE Transactions on Industrial Electronics,2017; vol. 64, no. 9, pp. 7218–7228.
    [10] Z. Yang, Y. Chai, H. Yin, and S. Tao. Lpv model based sensor fault diagnosis and isolation for permanent magnet synchronous generator in wind energy conversion systems. Applied Sciences.2018; vol. 8, no. 10, p. 1816-1826.
    [11] R. Liu; B. Yang; E. Zio; X. Chen. Artificial intelligence for fault diagnosis of rotating machinery: A review Mechanical Systems and Signal Processing. 2018; vol. 108, pp. 33–47.
    [12] I.H. Kao; W. J. Wang; Y.-H. Lai, J -W. Perng Analysis of permanent magnet synchronous motor fault diagnosis based on learning IEEE Transactions on Instrumentation and Measurement 2018; vol. 68, no. 2, pp. 310–324.
    [13] L. Chen; Z. Zhang ; J. Cao, X. Wang. A novel method of combining nonlinear frequency spectrum and deep learning for complex system fault diagnosis. Measurement. 2020; vol. 151, pp. 107-115.
    [14] S. Wang; J. Bao; S. Li; H. Yan; T. Tang; D. Tang. Research on interturn short circuit fault identification method of pmsm based on deep learning.in 22nd International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2019, pp. 1–4.
    [15] H. Yan; Y. Xu; F. Cai; H. Zhang; W. Zhao; C. Gerada. PWM VSI fault diagnosis for a pmsm drive based on the fuzzy logic approach. IEEE Transac tions on Power Electronics; 2018; vol. 34, no. 1, pp. 759– 768.
    [16] N. Misron; M. A. M. Radzi. Fault detection of broken rotor bar in ls-pmsm using random forests Measurement 2018;vol. 116, pp. 273–280.
    [17] S. Liang; Y. Chen; H. Liang. X. Li Sparse rep- resentation and svm diagnosis method for inter-turn short-circuit fault in pmsm. Applied Science,2019; vol. 9, no. 2, p. 224-234.
    [18] M. Armin; P. N. Roy; S. K. Das. A survey on modelling and compensation for hysteresis in high speed nano positioning of afms: Observation and future recommendation. International Journal of Automation and Computing; 2020; vol. 17, pp. 1–23.
    [19] S. K. Kommuri; M. Defoort ; H. R. Karimi; K. C. Veluvolu. A robust observer-based sensor fault-tolerant control for pmsm in electric vehicles. IEEE Transactions on Industrial Electronics.2016; vol. 63, no. 12, pp. 7671–7681.

Sandhya Kulkarni and Dr. Archana Thosar (2021), Performance Analysis of Permanent Magnet Synchronous Machine due to Winding Failures. IJEER 9(3), 76-83. DOI: 10.37391/IJEER.090308.