A vibration measurement system for health monitoring of power transformers

Abstract Health and usage monitoring (HUM) systems are critical for power transformers, and should provide accurate diagnostic information without delay. Diagnostic methodologies are the core of HUM systems. In this paper, we propose four complementary diagnostic techniques for power transformers based on vibrations that provide health metrics from different perspectives. During the field experiment, the vibrations of several in-service transformers under different conditions are collected, and the corresponding diagnostic results are obtained. Next, a health grade system is defined, and the suggested thresholds for each technique are also presented. The effectiveness of the health grade system is illustrated experimentally on three representative transformers. The consistency between the results of the proposed techniques and the actual condition of the test transformers show that the proposed techniques can distinguish transformers under different conditions.

[1]  Sung-Chin Hahn,et al.  Experimental Verification and Finite Element Analysis of Short-Circuit Electromagnetic Force for Dry-Type Transformer , 2012, IEEE Transactions on Magnetics.

[2]  K. D. Srivastava,et al.  Review of condition assessment of power transformers in service , 2002 .

[3]  D. Birtwhistle,et al.  Condition Assessment of Power Transformer on-Load Tap-Changers Using Wavelet Analysis , 2001, IEEE Power Engineering Review.

[4]  Jie Pan,et al.  Comparison of Mechanically and Electrically Excited Vibration Frequency Responses of a Small Distribution Transformer , 2017, IEEE Transactions on Power Delivery.

[5]  Pablo H. Ibargüengoytia,et al.  Probabilistic Vibration Models in the Diagnosis of Power Transformers , 2011 .

[6]  Norbert Hoffmann,et al.  Recurrence analysis and phase space reconstruction of irregular vibration in friction brakes: Signatures of chaos in steady sliding , 2012 .

[7]  Wang Fan,et al.  An approach to power transformer asset management using health index , 2009, IEEE Electrical Insulation Magazine.

[8]  Stephan Voss,et al.  The role of load harmonics in audible noise of electrical transformers , 2014 .

[9]  Jürgen Kurths,et al.  Recurrence plots for the analysis of complex systems , 2009 .

[10]  Liang Zou,et al.  Modelling methodology for transformer core vibrations based on the magnetostrictive properties , 2012 .

[11]  C. Bengtsson,et al.  Status and trends in transformer monitoring , 1996 .

[12]  S. Borucki,et al.  Diagnosis of Technical Condition of Power Transformers Based on the Analysis of Vibroacoustic Signals Measured in Transient Operating Conditions , 2012, IEEE Transactions on Power Delivery.

[13]  Kaixing Hong,et al.  Winding Condition Assessment of Power Transformers Based on Vibration Correlation , 2015, IEEE Transactions on Power Delivery.

[14]  B. Garcia,et al.  Transformer tank vibration modeling as a method of detecting winding deformations-part II: experimental verification , 2006, IEEE Transactions on Power Delivery.

[15]  Akhtar Hussain,et al.  An expert system for acoustic diagnosis of power circuit breakers and on-load tap changers , 2015, Expert Syst. Appl..

[16]  Luo Yongfen,et al.  Research on extraction technique of transformer core fundamental frequency vibration based on OLCM , 2006, IEEE Transactions on Power Delivery.

[17]  Pan Zaiping,et al.  Vibration model of power transformer under short-circuit condition , 2009, 2009 International Conference on Electrical Machines and Systems.

[18]  F. Muzi,et al.  Vibro-acoustic techniques to diagnose power transformers , 2004, IEEE Transactions on Power Delivery.

[19]  Jay Lee,et al.  Enhanced diagnostic certainty using information entropy theory , 2003, Adv. Eng. Informatics.

[20]  Fanrang Kong,et al.  Extracting Power Transformer Vibration Features by a Time-Scale-Frequency Analysis Method , 2010 .

[21]  Yasuro Hori,et al.  Axial Vibration Analysis of Transformer Windings Under Short Circuit Conditions , 1980, IEEE Transactions on Power Apparatus and Systems.

[22]  Haroldo de Faria,et al.  A review of monitoring methods for predictive maintenance of electric power transformers based on dissolved gas analysis , 2015 .

[23]  Yang Yu,et al.  A roller bearing fault diagnosis method based on EMD energy entropy and ANN , 2006 .

[24]  Wook-Ryun Lee,et al.  Copula-Based Statistical Health Grade System Against Mechanical Faults of Power Transformers , 2012, IEEE Transactions on Power Delivery.

[25]  Hai Huang,et al.  A method of real-time fault diagnosis for power transformers based on vibration analysis , 2015 .

[26]  Wook-Ryun Lee,et al.  Vibration-based robust health diagnostics for mechanical failure modes of power transformers , 2013, 2013 IEEE Conference on Prognostics and Health Management (PHM).

[27]  Magdy M. A. Salama,et al.  Asset management techniques for transformers , 2010 .

[28]  B. Garcia,et al.  Transformer tank vibration modeling as a method of detecting winding deformations-part I: theoretical foundation , 2006, IEEE Transactions on Power Delivery.