Frequency response analysis (FRA) of transformers as a tool for fault detection and location: A review

Abstract Power transformers are one of the most important components of the electrical power networks. A wide range of mechanical and electrical stresses in addition to the aging could cause failures in these apparatuses. As a result, evaluating the condition of the transformers during their lifetime is crucial to the power network reliability and service continuity. A large number of different fault diagnosis techniques are introduced for this purpose. Frequency Response Analysis (FRA) is sensitive to the great number of electrical or mechanical changes in the transformers that could occur during the manufacturing, transportation, installation, maintenance or operation of the device. Therefore, FRA is considered among the powerful methods of transformers’ condition assessment. This paper explains the frequency response analysis of transformers method, its application and test procedure as well as providing a comprehensive review of the researches and attempts that are done on different aspects of this field for enhancing quality and repeatability of the test and the interpretation of the results.

[1]  Babak Nadjar Araabi,et al.  A probabilistic feature to determine type and extent of winding mechanical defects in power transformers , 2012 .

[2]  Z.D. Wang,et al.  Investigations on sensitivity of FRA technique in diagnosis of transformer winding deformations , 2004, Conference Record of the 2004 IEEE International Symposium on Electrical Insulation.

[3]  Stefan Tenbohlen,et al.  Evaluation of numerical indices for the assessment of transformer frequency response , 2017 .

[4]  J. Pleite,et al.  An overview of the On Line Application of Frequency Response Analysis (FRA) , 2007, 2007 IEEE International Symposium on Industrial Electronics.

[5]  Pradeep M. Nirgude,et al.  Application of numerical evaluation techniques for interpreting frequency response measurements in power transformers , 2008 .

[6]  Ahmed Abu-Siada,et al.  Application of Digital Image Processing to Detect Short-Circuit Turns in Power Transformers Using Frequency Response Analysis , 2016, IEEE Transactions on Industrial Informatics.

[7]  Hormatollah Firoozi,et al.  Frequency response analysis- condition assessment of power transformers using mathematical and statistical criteria , 2009, 2009 IEEE 9th International Conference on the Properties and Applications of Dielectric Materials.

[8]  E.P. Dick,et al.  Transformer Diagnostic Testing by Frequuency Response Analysis , 1978, IEEE Transactions on Power Apparatus and Systems.

[9]  Mehdi Bagheri,et al.  Influence of temperature on frequency response analysis of transformer winding , 2013, 2013 IEEE Electrical Insulation Conference (EIC).

[10]  Vahid Behjat,et al.  Statistical approach for interpretation of power transformers frequency response analysis results , 2015 .

[11]  J. C. Gonzales,et al.  Diagnosis of power transformers through frequency response analysis by poles and zeros shifts identification , 2012, 2012 Sixth IEEE/PES Transmission and Distribution: Latin America Conference and Exposition (T&D-LA).

[12]  H. Borsi,et al.  FRA-based transformer parameters at low frequencies , 2012, 2012 International Conference on High Voltage Engineering and Application.

[13]  Omar M. Aljohani,et al.  Impact of power transformer insulating mineral oil degradation on FRA polar plot , 2015, 2015 IEEE 24th International Symposium on Industrial Electronics (ISIE).

[14]  J. Welsh,et al.  The Influence of Complex Permeability on the Broadband Frequency Response of a Power Transformer , 2010, IEEE Transactions on Power Delivery.

[15]  A. Setayeshmehr,et al.  Sweep frequency response analysis for diagnosis of low level short circuit faults on the windings of power transformers: An experimental study , 2012 .

[16]  A. Abu-Siada,et al.  Improved power transformer winding fault detection using FRA diagnostics – part 1: axial displacement simulation , 2015, IEEE Transactions on Dielectrics and Electrical Insulation.

[17]  Z.D. Wang,et al.  Winding movement in power transformers: a comparison of FRA measurement connection methods , 2006, IEEE Transactions on Dielectrics and Electrical Insulation.

[18]  Stefan Tenbohlen,et al.  Mathematical Comparison Methods to Assess Transfer Functions of Transformers to Detect Different Types of Mechanical Faults , 2010, IEEE Transactions on Power Delivery.

[19]  Mehdi Bagheri,et al.  Paper moisture variation vs. mechanical deformation impacts on transformer frequency response spectrum , 2014, Proceedings of 2014 International Symposium on Electrical Insulating Materials.

[20]  Andrzej Wilk,et al.  Investigations on sensitivity of FRA method in diagnosis of interturn faults in transformer winding , 2011, 2011 IEEE International Symposium on Industrial Electronics.

[21]  Guillermo Aponte Mayor,et al.  Current Status and Future Trends in Frequency-Response Analysis With a Transformer in Service , 2013, IEEE Transactions on Power Delivery.

[22]  T. Sano,et al.  Influence factors on FRA waveforms , 2012, 2012 IEEE International Conference on Condition Monitoring and Diagnosis.

[23]  Gevork B. Gharehpetian,et al.  Novel Calculation Method of Indices to Improve Classification of Transformer Winding Fault Type, Location, and Extent , 2017, IEEE Transactions on Industrial Informatics.

[24]  G.M. Kennedy,et al.  Using Cross-Correlation Coefficients to Analyze Transformer Sweep Frequency Response Analysis (SFRA) Traces , 2007, 2007 IEEE Power Engineering Society Conference and Exposition in Africa - PowerAfrica.

[25]  Pradeep M. Nirgude,et al.  Application of numerical techniques to FRA data for diagnosing integrity of transformer windings , 2015, 2015 International Conference on Condition Assessment Techniques in Electrical Systems (CATCON).

[26]  O. Aljohani,et al.  Identification of the minimum detection of transformer bushing failure based on Frequency Response Analysis (FRA) , 2016, 2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC).

[27]  S. Tenbohlen,et al.  Effect of different terminating resistors on the FRA method sensitivity , 2015, 2015 30th International Power System Conference (PSC).

[28]  Stefan Tenbohlen,et al.  Using the Temperature Dependency of the FRA to Evaluate the Pressure of the Transformer Press Ring , 2018, IEEE Transactions on Power Delivery.

[29]  A. Abu-Siada,et al.  Characterization of transformer FRA signature under various winding faults , 2012, 2012 IEEE International Conference on Condition Monitoring and Diagnosis.

[30]  Imran Sutan Chairul,et al.  Condition Monitoring of Distribution Transformer's Mechanical Parts Using Sweep Frequency Response Analysis (SFRA) , 2013 .

[31]  H. Borsi,et al.  Condition monitoring and diagnosis of power transformers , 2008, 2008 International Conference on Condition Monitoring and Diagnosis.

[32]  Stefan Tenbohlen,et al.  Detection of transformer mechanical deformations by comparing different FRA connections , 2017 .

[33]  Pradnya Jadhav A deviation index method to detect winding displacement in power transformer using FRA , 2013 .

[34]  Narottam Das,et al.  Impact of buckling deformation on the FRA signature of power transformer , 2013, 2013 Australasian Universities Power Engineering Conference (AUPEC).

[35]  Q. H. Wu,et al.  Detection of power transformer winding deformation and variation of measurement connections using a hybrid winding model , 2012 .

[36]  D.M. Sofian,et al.  Interpretation of Transformer FRA Responses— Part I: Influence of Winding Structure , 2009, IEEE Transactions on Power Delivery.

[37]  A. Abu-Siada,et al.  Impact of axial displacement on power transformer FRA signature , 2013, 2013 IEEE Power & Energy Society General Meeting.

[38]  E. Mombello,et al.  Fault Interpretation Algorithm Using Frequency-Response Analysis of Power Transformers , 2016, IEEE Transactions on Power Delivery.

[39]  Akshay A. Pandya,et al.  Interpretation of Sweep Frequency Response Analysis (SFRA) traces for the open circuit and short circuit winding fault damages of the power transformer , 2014 .

[40]  K. Feser,et al.  Transfer Function Method to Diagnose Axial Displacement and Radial Deformation of Transformer Winding , 2002, IEEE Power Engineering Review.

[41]  C. Ekanayake,et al.  Locating inter-disc faults in transformer winding using frequency response analysis , 2013, 2013 Australasian Universities Power Engineering Conference (AUPEC).

[42]  Jin Zhijian,et al.  Fault location of transformer winding deformation using frequency response analysis , 2001, Proceedings of 2001 International Symposium on Electrical Insulating Materials (ISEIM 2001). 2001 Asian Conference on Electrical Insulating Diagnosis (ACEID 2001). 33rd Symposium on Electrical and Ele.

[43]  Tapan K. Saha,et al.  Frequency response analysis to investigate deformation of transformer winding , 2015, IEEE Transactions on Dielectrics and Electrical Insulation.

[44]  Gang Liu,et al.  Transformer Winding Deformation Diagnosis Using Middle Band Frequency Response Analysis , 2007, 2007 IEEE International Conference on Solid Dielectrics.

[45]  Gevork B. Gharehpetian,et al.  A new algorithm for localization of radial deformation and determination of deformation extent in transformer windings , 2008 .

[46]  Mehdi Bagheri,et al.  Frequency response analysis and short-circuit impedance measurement in detection of winding deformation within power transformers , 2013, IEEE Electrical Insulation Magazine.

[47]  S.M. Gubanski,et al.  Exploring possibilities for characterization of power transformer insulation by frequency response analysis (FRA) , 2006, IEEE Transactions on Power Delivery.

[48]  Q. H. Wu,et al.  Transformer winding condition assessment using frequency response analysis and evidential reasoning , 2010 .

[49]  Erik Leandro Bonaldi,et al.  A survey on statistical indexes applied on frequency response analysis of electric machinery and a trend based approach for more reliable results , 2016 .

[50]  A. Abu-Siada,et al.  Understanding power transformer frequency response analysis signatures , 2013, IEEE Electrical Insulation Magazine.

[51]  E. Kornatowski,et al.  Evaluation of FRA and VM Measurements Complementarity in the Field Conditions , 2016, IEEE Transactions on Power Delivery.

[52]  Ahmed Abu-Siada,et al.  Application of DIP to Detect Power Transformers Axial Displacement and Disk Space Variation Using FRA Polar Plot Signature , 2017, IEEE Transactions on Industrial Informatics.

[53]  Mehdi Bagheri,et al.  Temperature influence on FRA spectrum of oil-filled and oil-free single-phase transformer , 2015, 2015 IEEE 11th International Conference on the Properties and Applications of Dielectric Materials (ICPADM).

[54]  A. Abu-Siada,et al.  Improved power transformer winding fault detection using FRA diagnostics – part 2: radial deformation simulation , 2015, IEEE Transactions on Dielectrics and Electrical Insulation.

[55]  A. Contin,et al.  Frequency-response analysis of power transformers by means of fuzzy tools , 2011, IEEE Transactions on Dielectrics and Electrical Insulation.

[56]  C. Ekanayake,et al.  Investigating the sensitivity of frequency response analysis on transformer winding structure , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

[57]  Mehdi Bagheri,et al.  Influence of temperature and moisture content on frequency response analysis of transformer winding , 2014, IEEE Transactions on Dielectrics and Electrical Insulation.

[58]  J. Rickmann,et al.  A new technique to detect winding displacements in power transformers using frequency response analysis , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[59]  H. Borsi,et al.  A new method for purposes of failure diagnostics and FRA interpretation applicable to power transformers , 2013, IEEE Transactions on Dielectrics and Electrical Insulation.

[60]  N. Abeywickrama,et al.  Effect of Core Magnetization on Frequency Response Analysis (FRA) of Power Transformers , 2008, IEEE Transactions on Power Delivery.

[61]  Gevork B. Gharehpetian,et al.  Localization of winding radial deformation and determination of deformation extent using vector fitting‐based estimated transfer function , 2009 .

[62]  Mehdi Vakilian,et al.  A probabilistic neural network classifier‐based method for transformer winding fault identification through its transfer function measurement , 2013 .

[63]  A. Abu-Siada,et al.  Detection of power transformer bushing faults and oil degradation using frequency response analysis , 2016, IEEE Transactions on Dielectrics and Electrical Insulation.

[64]  Jimmy Cesar Gonzales Arispe,et al.  Detection of Failures Within Transformers by FRA Using Multiresolution Decomposition , 2014, IEEE Transactions on Power Delivery.

[65]  Ernst Gockenbach,et al.  Analysis of physical transformer circuits for frequency response interpretation and mechanical failure diagnosis , 2016, IEEE Transactions on Dielectrics and Electrical Insulation.

[66]  Stefan Tenbohlen,et al.  Effect of Different Connection Schemes, Terminating Resistors and Measurement Impedances on the Sensitivity of the FRA Method , 2017, IEEE Transactions on Power Delivery.

[67]  Tapan K. Saha,et al.  Examining the ageing of transformer insulation using FRA and FDS techniques , 2015, IEEE Transactions on Dielectrics and Electrical Insulation.

[68]  Shesha H. Jayaram,et al.  Study on locating transformer internal faults using sweep frequency response analysis , 2017 .

[69]  C. Ekanayake,et al.  An investigation on the influence of tap changer on Frequency Response Analysis , 2015, 2015 IEEE 11th International Conference on the Properties and Applications of Dielectric Materials (ICPADM).

[70]  Vahid Behjat,et al.  New statistical approach to interpret power transformer frequency response analysis: non-parametric statistical methods , 2016 .

[71]  L. Satish,et al.  Locating faults in a transformer winding: An experimental study , 2009 .

[72]  PooGyeon Park,et al.  Fault diagnosis of a power transformer using an improved frequency-response analysis , 2005 .

[73]  K. Ragavan,et al.  Localization of Changes in a Model Winding Based on Terminal Measurements: Experimental Study , 2007, IEEE Transactions on Power Delivery.

[74]  A A Reykherdt,et al.  Case studies of factors influencing frequency response analysis measurements and power transformer diagnostics , 2011, IEEE Electrical Insulation Magazine.

[75]  S. A. Ryder Methods for comparing frequency response analysis measurements , 2002, Conference Record of the the 2002 IEEE International Symposium on Electrical Insulation (Cat. No.02CH37316).

[76]  E. Kornatowski,et al.  Diagnostics of a Transformer's Active Part With Complementary FRA and VM Measurements , 2014, IEEE Transactions on Power Delivery.

[77]  K. Feser,et al.  Procedures for detecting winding displacements in power transformers by the transfer function method , 2004, IEEE Transactions on Power Delivery.

[78]  Stefan Tenbohlen,et al.  Dismissing Uncertainties in the FRA Interpretation , 2018, IEEE Transactions on Power Delivery.

[79]  J. Pleite,et al.  Power transformer core fault diagnosis using frequency response analysis , 2006, MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference.

[80]  G. B. Gharehpetian,et al.  ANN and cross-correlation based features for discrimination between electrical and mechanical defects and their localization in transformer winding , 2014, IEEE Transactions on Dielectrics and Electrical Insulation.

[81]  Jian Li,et al.  Simulative and experimental investigation of transfer function of inter-turn faults in transformer windings , 2014 .

[82]  Mehdi Vakilian,et al.  Transformer winding faults classification based on transfer function analysis by support vector machine , 2012 .

[83]  A.J. Vandermaar,et al.  Improved detection of power transformer winding movement by extending the FRA high frequency range , 2005, IEEE Transactions on Power Delivery.

[84]  Zhongdong Wang,et al.  Interpretation of Transformer FRA Responses— Part II: Influence of Transformer Structure , 2010, IEEE Transactions on Power Delivery.

[85]  Issouf Fofana,et al.  Electrical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers , 2016 .

[86]  H. Borsi,et al.  A new diagnostic method to support standard frequency response analysis assessments for diagnostics of transformer winding mechanical failures , 2014, IEEE Electrical Insulation Magazine.

[87]  J. Pleite,et al.  Novel procedure for low frequency FRA traces interpretation , 2012, 2012 XXth International Conference on Electrical Machines.

[88]  S. Usa,et al.  Prediction of transformer winding displacement from frequency response characteristics , 2013, 2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems (CATCON).