Vol. 39
Latest Volume
All Volumes
PIERB 106 [2024] PIERB 105 [2024] PIERB 104 [2024] PIERB 103 [2023] PIERB 102 [2023] PIERB 101 [2023] PIERB 100 [2023] PIERB 99 [2023] PIERB 98 [2023] PIERB 97 [2022] PIERB 96 [2022] PIERB 95 [2022] PIERB 94 [2021] PIERB 93 [2021] PIERB 92 [2021] PIERB 91 [2021] PIERB 90 [2021] PIERB 89 [2020] PIERB 88 [2020] PIERB 87 [2020] PIERB 86 [2020] PIERB 85 [2019] PIERB 84 [2019] PIERB 83 [2019] PIERB 82 [2018] PIERB 81 [2018] PIERB 80 [2018] PIERB 79 [2017] PIERB 78 [2017] PIERB 77 [2017] PIERB 76 [2017] PIERB 75 [2017] PIERB 74 [2017] PIERB 73 [2017] PIERB 72 [2017] PIERB 71 [2016] PIERB 70 [2016] PIERB 69 [2016] PIERB 68 [2016] PIERB 67 [2016] PIERB 66 [2016] PIERB 65 [2016] PIERB 64 [2015] PIERB 63 [2015] PIERB 62 [2015] PIERB 61 [2014] PIERB 60 [2014] PIERB 59 [2014] PIERB 58 [2014] PIERB 57 [2014] PIERB 56 [2013] PIERB 55 [2013] PIERB 54 [2013] PIERB 53 [2013] PIERB 52 [2013] PIERB 51 [2013] PIERB 50 [2013] PIERB 49 [2013] PIERB 48 [2013] PIERB 47 [2013] PIERB 46 [2013] PIERB 45 [2012] PIERB 44 [2012] PIERB 43 [2012] PIERB 42 [2012] PIERB 41 [2012] PIERB 40 [2012] PIERB 39 [2012] PIERB 38 [2012] PIERB 37 [2012] PIERB 36 [2012] PIERB 35 [2011] PIERB 34 [2011] PIERB 33 [2011] PIERB 32 [2011] PIERB 31 [2011] PIERB 30 [2011] PIERB 29 [2011] PIERB 28 [2011] PIERB 27 [2011] PIERB 26 [2010] PIERB 25 [2010] PIERB 24 [2010] PIERB 23 [2010] PIERB 22 [2010] PIERB 21 [2010] PIERB 20 [2010] PIERB 19 [2010] PIERB 18 [2009] PIERB 17 [2009] PIERB 16 [2009] PIERB 15 [2009] PIERB 14 [2009] PIERB 13 [2009] PIERB 12 [2009] PIERB 11 [2009] PIERB 10 [2008] PIERB 9 [2008] PIERB 8 [2008] PIERB 7 [2008] PIERB 6 [2008] PIERB 5 [2008] PIERB 4 [2008] PIERB 3 [2008] PIERB 2 [2008] PIERB 1 [2008]
2012-03-07
A Simple Pattern Recognition Approach for Monitoring Incipient Stator Faults in Salient-Pole Synchronous Generators
By
Progress In Electromagnetics Research B, Vol. 39, 163-178, 2012
Abstract
This paper studies the effect of incipient stator faults in salient-pole synchronous generators and its detection using a simple pattern recognition methodology. A theoretical linear model for the synchronous generator is first developed to provide the relationships between stator and rotor harmonic currents and possible incipient faults on stator electric circuits. All theoretical findings were verified by experimental results. The stator currents and its αβ and dq representations have been used to detect incipient faults on salient-pole synchronous generators using a similar pattern recognition technique which have been proposed for induction machines. From our test results, it became clear that the proposed methodology is capable of correctly monitoring incipient stator faults in salient-pole synchronous generators.
Citation
J. A. Dente, and Paulo José da Costa Branco, "A Simple Pattern Recognition Approach for Monitoring Incipient Stator Faults in Salient-Pole Synchronous Generators," Progress In Electromagnetics Research B, Vol. 39, 163-178, 2012.
doi:10.2528/PIERB12012103
References

1. Yang, W., "Condition monitoring and fault diagnosis of a wind turbine synchronous generator drive train," IET Renewable Power Generation, Vol. 3, No. 2, 630-636, 2009.

2. Faiz, J., B. M. Ebrahimi, M. Valavi, and H. A. Toliyat, "Mixed eccentricity fault diagnosis in salient-pole synchronous generator using modified winding function method," Progress In Electromagnetics Research B, Vol. 11, 155-172, 2009.
doi:10.2528/PIERB08110903

3. Hadef, M., M. R. Mekideche, A. Djerdir, and A. Miraoui, "An inverse problem approach for parameter estimation of interior permanent magnet synchronous motor," Progress In Electromagnetics Research B, Vol. 31, 15-28, 2011.

4. Yaghobi, H., H. R. Mashhadi, and K. Ansari, "Artificial neural network approach for locating internal faults in salientpole synchronous generator," Expert Systems with Applications, Vol. 38, No. 10, 13328-13341, 2011.
doi:10.1016/j.eswa.2011.04.157

5. Karrari, M. and O. P. Malik, "Identification of synchronous generators using adaptive wavelet networks," Int. Journal of Electrical Power & Energy Systems, Vol. 27, No. 2, 113-120, 2005.
doi:10.1016/j.ijepes.2004.08.011

6. Faiz, J. and B. M. Ebrahimi, "Mixed fault diagnosis in three-phase squirrel-cage induction motor using analysis of air-gap magnetic field," Progress In Electromagnetics Research, Vol. 64, 239-255, 2006.
doi:10.2528/PIER06080201

7. Cardoso, A. J. M. and E. S. Saraiva, "Computer-aided detection of airgap eccentricity in operating three-phase induction motors by Park's vector approach," IEEE Trans. on Industry Applications, Vol. 29, No. 5, 897-901, 1993.
doi:10.1109/28.245712