Frequency and Time Fault Diagnosis Methods of Power Transformers

被引:26
作者
Gutten, Miroslav [1 ]
Korenciak, Daniel [1 ]
Kucera, Matej [1 ]
Janura, Richard [2 ]
Glowacz, Adam [3 ]
Kantoch, Eliasz [4 ]
机构
[1] Univ Zilina, Fac Elect Engn, Dept Measurement & Appl Elect Engn, Univ 1, Zilina 01026, Slovakia
[2] CEZ AS, Nucl Power Plant Temelin, CZ-37305 Temelin, Czech Republic
[3] AGH Univ Sci & Technol, Fac Elect Engn Automat Comp Sci & Biomed Engn, Dept Automat Control & Robot, Al A Mickiewicza 30, PL-30059 Krakow, Poland
[4] AGH Univ Sci & Technol, Fac Elect Engn Automat Comp Sci & Biomed Engn, Dept Biocybernet & Biomed Engn, Al A Mickiewicza 30, PL-30059 Krakow, Poland
关键词
Fault; short-circuit; transformer; diagnostics; frequency; WINDING FAULTS; SYSTEMS; OIL;
D O I
10.1515/msr-2018-0023
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
The authors describe experimental and theoretical analyses of faults of power transformer winding. Faults were caused by mechanical effect of short-circuit currents. Measurements of transformer were carried out in high-voltage laboratory. Frequency and time diagnostic methods (method SFRA - Sweep Frequency Response Analysis, impact test) were used for the analyses. Coils of transformer windings were diagnosed by means of the SFRA method and the time impact test. The analyzed methods had a significant sensitivity to a relatively small deformation of coil. In the analysis a new technique for analyzing the effects of short-circuit currents is introduced. This technique is developed for high-voltage transformers (different types of power). The proposed analyses show that it is necessary to analyze the value of short-circuit current. Short-circuit current represents a danger for the operation of the power transformer. The proposed approach can be used for other types of transformers. Moreover, the presented techniques have a potential application for fault diagnosis of electrical equipment such as: transformers and electrical machines.
引用
收藏
页码:162 / 167
页数:6
相关论文
共 25 条
[1]   Interturn Faults Detection of Transformers by Diagnosis of Neutral Current [J].
Ballal, Makarand Sudhakar ;
Suryawanshi, Hiralal Murlidhar ;
Mishra, Mahesh K. ;
Chaudhari, Bhupesh Nemichand .
IEEE TRANSACTIONS ON POWER DELIVERY, 2016, 31 (03) :1096-1105
[2]  
Brandt M., 2016, 2016 ELEKTRO
[3]  
Brandt M, 2016, PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON DIAGNOSTIC OF ELECTRICAL MACHINES AND INSULATING SYSTEMS IN ELECTRICAL ENGINEERING (DEMISEE 2016), P6, DOI 10.1109/DEMISEE.2016.7530472
[4]  
Chen WG, 2008, ICHVE 2008: 2008 INTERNATIONAL CONFERENCE ON HIGH VOLTAGE ENGINEERING AND APPLICATION, P672, DOI 10.1109/ICHVE.2008.4774024
[5]   Fault diagnosis approach of traction transformers in high-speed railway combining kernel principal component analysis with random forest [J].
Dai, Chenxi ;
Liu, Zhigang ;
Hu, Keting ;
Huang, Ke .
IET ELECTRICAL SYSTEMS IN TRANSPORTATION, 2016, 6 (03) :202-206
[6]   Data-Driven Fault Diagnosis Method for Power Transformers Using Modified Kriging Model [J].
Ding, Yu ;
Liu, Qiang .
MATHEMATICAL PROBLEMS IN ENGINEERING, 2017, 2017
[7]  
GChitaliya H., 2013, P INT C REC TRENDS P, P54
[8]   RECOGNITION OF ARMATURE CURRENT OF DC GENERATOR DEPENDING ON ROTOR SPEED USING FFT, MSAF-1 AND LDA [J].
Glowacz, Adam ;
Glowacz, Witold ;
Glowacz, Zygfryd .
EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY, 2015, 17 (01) :64-69
[9]  
Heathcote M., 2007, J P TRANSFORMER BOOK
[10]  
Hrabovcova V., 2009, MEASURING MODELLING