Diagnostics of Mechanical Faults in Power Transformers - Vibration Sensor Network Design under Vibration Uncertainty

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Joung Taek Yoon Kyung Min Park Byeng D. Youn Wook-Ryun Lee

Abstract

Power transformer is a critical component in energy transmission, and its failure can cause catastrophic social loss. Among many techniques to prevent the transformer failures, ones using vibration signals show good capability of detecting the mechanical faults. For on-site power transformers, numerous vibration sensors are installed to take into account vibration uncertainty which comes from sizable and complex transformers and random operating condition. It, however, brings about the high maintenance cost of sensing system as well as superfluous data obstructing precise diagnostics. This study proposes sensor positioning to detect mechanical faults of power transformers. Thirty six on-site power transformers in nuclear power plants were employed. Their vibration signals are processed based upon the principles of transformer vibration. Vibration characteristics are analyzed in terms of spectrum analysis, vibration contour plot and high vibration locations. Then the sensor network design framework is proposed which adjusts the number of sensors and their locations to measure high vibration signals robustly under vibration uncertainty. It is demonstrated that the designed sensing system evaluates the health status of the power transformers successfully with the significantly reduced number of sensors.

How to Cite

Yoon, J. T., Park, K. M., Youn, B. D., & Lee, W.-R. (2014). Diagnostics of Mechanical Faults in Power Transformers - Vibration Sensor Network Design under Vibration Uncertainty. PHM Society European Conference, 2(1). https://doi.org/10.36001/phme.2014.v2i1.1556
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Keywords

diagnostics, power transformer, sensor positioning, mechanical fault, sensor network design

References
Bartoletti, C., Desiderio, M., Di Carlo, D., Fazio, G., Muzi, F., Sacerdoti, G., & Salvatori, F. (2004). Vibro-acoustic techniques to diagnose power transformers. Ieee Transactions on Power Delivery, 19(1), 221-229. doi: 10.1109/tpwrd.2003.820177
Borucki, S. (2012). Diagnosis of technical condition of power transformers based on the analysis of vibroacoustic signals measured in transient operating conditions. Ieee Transactions on Power Delivery, 27(2), 670-676. doi: Doi 10.1109/Tpwrd.2012.2185955
Duval, M. (2002). A review of faults detectable by gas-in-oil analysis in transformers. Ieee Electrical Insulation Magazine, 18(3), 8-17. doi: Doi 10.1109/Mei.2002.1014963
Garcia, B., Burgos, J.C., & Alonso, A.M. (2006a). Transformer tank vibration modeling as a method of detecting winding deformations - part i: Theoretical foundation. Ieee Transactions on Power Delivery, 21(1), 157-163. doi: Doi 10.1109/Tpwrd.2005.852280
Garcia, B., Burgos, J.C., & Alonso, A.M. (2006b). Transformer tank vibration modeling as a method of detecting winding deformations - part ii: Experimental verification. Ieee Transactions on Power Delivery, 21(1), 164-169. doi: Doi 10.1109/Tpwrd.2005.852275
Hu, C., Wang, P.F., Youn, B.D., Lee, W.R., & Yoon, J.T. (2012). Copula-based statistical health grade system against mechanical faults of power transformers. Ieee Transactions on Power Delivery, 27(4), 1809-1819. doi: Doi 10.1109/Tpwrd.2012.2202406
Ji, S.C., Cheng, J., & Li, Y. (2005). Research on vibration characteristics of windings and core of oil-filled transformer. Journal of Xi'an Jiaotong University, 39(6), 616-619.
Ji, S.C., Luo, Y.F., & Li, Y.M. (2006). Research on extraction technique of transformer core fundamental frequency vibration based on olcm. Ieee Transactions on Power Delivery, 21(4), 1981-1988. doi: Doi 10.1109/Tpwrd.2006.876665
Ji, S.C., Zhu, L.Y., & Li, Y.M. (2011). Study on transformer tank vibration characteristics in the field and its application. Przegląd Elektrotechniczny, 87(2), 205-211.
Lee, W.-R., Jung, S.W., Yang, K.H., & Lee, J.S. (2005, 11-14 July 2005). A study on the determination of subjective vibration velocity ratings of main transformers under operation in nuclear power plants. Paper presented at the In Proceedings of the 12th International Congress on Sound and Vibration (12th ICSV), Lisbon, Portugal.
Li, Q.M., Zhao, T., Zhang, L., & Lou, J. (2012). Mechanical fault diagnostics of onload tap changer within power transformers based on hidden markov model. Ieee Transactions on Power Delivery, 27(2), 596-601. doi: Doi 10.1109/Tpwrd.2011.2175454
Saha, T.K. (2003). Review of modern diagnostic techniques for assessing insulation condition in aged transformers. Ieee Transactions on Dielectrics and Electrical Insulation, 10(5), 903-917. doi: Doi 10.1109/Tdei.2003.1237337
Wang, M., Vandermaar, A.J., & Srivastava, K.D. (2002). Review of condition assessment of power transformers in service. Ieee Electrical Insulation Magazine, 18(6), 12-25.
Yi, T.H., & Li, H.N. (2012). Methodology developments in sensor placement for health monitoring of civil infrastructures. International Journal of Distributed Sensor Networks. doi: Artn 612726, Doi 10.1155/2012/612726
Canadian electricity association (1997). On-line vibration monitoring of power transformers and reactors, Volume 1: Vibration monitoring of tap changers and windings. 474 T 955.
Section
Technical Papers

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