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CONDITION MONITORING of POWER TRANSFORMER - BIBLIOGRAPHY SURVEY 2 Jashandeep Singh Bahra Group of Institutions, Patiala Campus, Punjab, India

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CONDITION MONITORING of POWER TRANSFORMER - BIBLIOGRAPHY SURVEY 2 Jashandeep Singh Bahra Group of Institutions, Patiala Campus, Punjab, India International Journal of Engineering Science Invention Research & Development; Vol. III, Issue III, September 2016 www.ijesird.com, e-ISSN: 2349-6185 CONDITION MONITORING OF POWER TRANSFORMER - BIBLIOGRAPHY SURVEY 2 Jashandeep Singh Bahra Group of Institutions, Patiala Campus, Punjab, India Key Words: Dielectric response, Dissolved gas analysis (DGA), Condition monitoring, Oil Insulation, Paper Insulation, Bubble effect, Drying process, Mechanical strength, Copper sulphur, Partial discharge (PD), Moisture. Key Phrase: There is a universal requirement for up-to-date bibliographic information on insulation system of power transformer in the academic, research and engineering communities. I. INTRODUCTION Power transformers are one of the most expensive elements in a power system and their failure due to any reason is a very bad event also to maintain & rectify the problems related to insulation failure become more expensive. Power transformers are mainly involved in the energy transmission and distribution. Unplanned power transformer outages have a considerable economics impact on the operation of electric power network. To have reliable operation of transformers, it is necessary to identify problems at an early stage before a catastrophic failure occurs. In spite of corrective and predictive maintenance, preventive maintenance of power transformer is gaining due importance in the modern era and it must be taken into account to obtain the highest reliability of power apparatus such as power transformers. The well known preventive maintenance techniques such as DGA, conditioning monitoring, partial discharge measurement, effect of moisture, Paper insulation, Oil insulation, mechanical strength, thermal conductivity, copper sulphur, bubble effect, drying process, thermal degradation, fault diagnosis, etc. are performed on transformer for a specific type of problem. There is a universal requirement for up-to-date bibliographic information on insulation system of power transformer in the academic, research and engineering communities. The same topic was earlier updated in 2008 and it is observed that many new areas have been identified by the researchers such as bubble effect, copper sulphur, mechanical strength, etc. This article lists relevant references grouped according to the topics described above. The research scholars can found all the research which have been carried out till date in this paper. II. DISSOLVED GAS ANALYSIS (2014-2008) [1] F. Wan, W. Chen et al., ―Using a sensitive optical system to analyze gases dissolved in samples extracted from transformer oil", IEEE Electr. Insul. Mag., vol. 30, no. 5, pp. 15-22, 2014. [2] U. Khayam, A. Susilo et al., ―Partial discharge characteristics and dissolved gas analysis of vegetable oil‖, in Conf. Record IEEE Int. Symp. Electr. Insul., vol. 2, pp. 330–333, 2014. [3] N. A. Bakar, S. Islam et al., ―A review of dissolved gas analysis measurement and interpretation techniques‖, IEEE Electr. Insul. Mag., vol. 30, no. 3, pp. 39-49, 2014. [4] T. Piotrowski, ―Probability distributions of gases dissolved in oil of failed power transformers‖, in Proc. Int. Conf. High Voltage Eng. Appl. (ICHVE), pp. 1-4, Sep 2014 . [5] AnXin Zhao, Xiaojun Tang et al., ―The on-site DGA detecting and analysis system based on the Fourier transform infrared instrument‖ in Proc. IEEE 12st Int. Conf. Instru. Measur. Technol., pp. 1036 – 1040, 2014. [6] Z. Sahri, R. Yusof et. al., ―FINNIM: Iterative Imputation of Missing Values in Dissolved Gas Analysis Dataset‖, IEEE Trans. Ind. Informat., vol. 10, no. 4, pp. 2093 – 2102, 2014. [7] Zhou Quan, Wang Shizheng et al., ―Power transformer fault diagnosis based on DGA combined with cloud model‖, in Proc. Int. Conf. High Voltage Eng. and Appl. (ICHVE), pp. 1-4, Sep 2014 . [8] M. Duval, L. Lamarre, ―The duval pentagon-a new complementary tool for the interpretation of dissolved gas analysis in transformers‖, IEEE Electr. Insul. Mag., vol. 30, no. 6, pp. 9 – 12, 2014. [9] Yi Cui, Hui Ma et al., ―Improvement of power transformer insulation diagnosis using oil characteristics data preprocessed by SMOTE Boost technique‖, IEEE Trans. Dielectr. Electr. Insul., vol. 21, no. 5, pp. 2363-2373, 2014. [10] J. B. Perez, ―Best Practices in Dissolved Gases Analysis (DGA) for Power Transformers‖, in Proc. IEEE Panama Conv. (CONCAPAN XXXIV) pp. 1 – 6, 2014. [11] Wei Chenghao, Wenhu Tang et al., ―Dissolved gas analysis method based on novel feature prioritization and support vector machine‖, IET J. Electric Power Appl., , vol. 8 , no. 8 , pp. 320 – 328, 2014. [12] N. A. Gómez, H. M. Wilhelm et al., ―Dissolved gas analysis (DGA) of natural ester insulating fluids with different chemical compositions‖, IEEE Trans. Dielectr. Electr. Insul., vol. 21, no. 3, pp. 1071-1078, 2014. [13] D. Malabanan, R. Nerves et al., ―Power transformer condition assessment using an immune neural network approach to Dissolved Gas Analysis‖, in Proc. IEEE Region 10 Conf. TENCON 2014, pp. 1-6, Oct. 2014. Jashandeep Singh ijesird, Vol. III, Issue III, September 2016/164 International Journal of Engineering Science Invention Research & Development; Vol. III, Issue III, September 2016 www.ijesird.com, e-ISSN: 2349-6185 [14] C. H. Yann, C. S. Huo, ―Dissolved gas analysis of mineral oil for power transformer fault diagnosis using fuzzy logic‖, IEEE Trans. Dielectr. Electr. Insul., vol. 20, no. 3, pp. 974-981, 2013. [15] M. SuganyaBharathi, M. W. Iruthayarajan et al., ―Interpretation of dissolved gas analysis in transformer oil using fuzzy logic system‖, in Proc. Power, Energy and Control Int. Conf. (ICPEC), pp. 245–249, 2013. [16] S. Souahlia, K. Bacha et. al., ―SVM-based decision for power transformers fault diagnosis using Rogers and doernenburg ratios DGA‖, in Proc.10th Systems, Signals & Devices Int. Conf. (SSD), pp. 1–6, 2013. [17] A. A. Suleiman, N. A. Muhamad et al., ―Introducing the Hybrid-DGA Interpretation software as an effective power transformer management tool‖, in Proc.4th Power Eng. Energy and Electr. Drives Int. Conf. (POWERENG), pp. 1410 – 1414, 2013. [18] F. D. Samirmi, T. Wenhu et al., ―Feature selection in power transformer fault diagnosis based on dissolved gas analysis‖, in Proc.4th IEEE/PES on Innovative Smart Grid Technologies Conf. (ISGT EUROPE), pp. 1-5, 2013. [19] K. Zou, W. Zhao et al., ―EDA-ANN based transformer fault recognition with dissolved gas‖, in Proc. IEEE/PES on Innovative Smart Grid Technologies Conf. (ISGT Asia), pp. 1 – 5, 2013. [20] A. K. Mehta, R. N. Sharma et al., ―Transformer diagnostics under dissolved gas analysis using Support Vector Machine‖, in Proc. Power, Energy and Control Int. Conf. (ICPEC), pp.181–186, 2013. [21] L. Huashu, M. Lin et al.,―A Monte-Carlo simulation method for industry transformer health prediction based on dissolved gas analysis‖, in Proc. Quality, Reliability, Risk, Maintenance, and Safety Engg. Int. Conf. (QR2MSE), pp.1673– 1676, 2013. [22] J. Haema, R. Phadungthin et al., ―A prediction technique of power transformer condition assessment via DGA parameters‖, in Proc. IEEE/PES Asia-Pacific on Power and Energy Eng.conf. (APPEEC), pp. 1–4, 2013. [23] Ming-Ta Yang, Li-Siang Hu et al., ―Intelligent fault types diagnostic system for dissolved gas analysis of oil-immersed power transformer‖, IEEE Trans. Dielectr. Electr. Insul., vol. 20, no. 6, 2013. [24] M. Donglai, Z. Wenjing et al.,“Establish Expert System of Transformer Fault Diagnosis Based on Dissolved Gas in Oil‖, in Proc. Information Science and Cloud Computing Companion Int. Conf. (ISCC-C), pp. 681 – 685, 2013. [25] Lian Chao, Ma Lin, ―Health assessment model of power transformer based on dissolved gas analysis by support vector machine‖, in Proc. 6th Information Management, Innovation Management and Industrial Engg. Int. Conf., vol. 1, pp. 280 – 283, 2013. [26] Z. Lizhi, C. Weigen et al., ―Laser Raman spectroscopy applied in detecting dissolved gas in transformer oil‖, in Annu. Rep. Conf. Electr. Insul. Dielectr. Phenomena (CEIDP), pp. 1145–1148, 2013. [27] M. R. Ahmed, M. A. Geliel, “Power transformer fault diagnosis using fuzzy logic technique based on dissolved gas analysis‖, in Proc. 21st IEEE Mediterranean Control & Automation Conf. (MED), pp. 584-589, 2013. [28] H. Molavi, A. Zahiri et al., ―Condition assessment and fault diagnosis of two load tap changers using dissolved gas analysis‖, in Proc. 22nd Int. Conf. Exhibition Electr. Distribution (CIRED), pp.1 –4, 2013. [29] J. Haema, R. Phadungthin; ―Power Transformer Condition Evaluation by the Analysis of DGA Methods‖, in Proc. IEEE/PES Asia- Pacific on Power and Energy Eng.conf. (APPEEC), pp. 1 – 4, 2012. [30] D. Zhou, N. Azis et al., ―Examining acceptable Dissolved Gas Analysis level of in-service transformers‖, in proc. Int. Conf. High Voltage Eng. Appl. (ICHVE), pp. 612 – 616, 2012. [31] N. A. Setiawan, Z. Adhiarga, et al., ―Power transformer incipient faults diagnosis using Dissolved Gas Analysis and Rough Set‖, in Proc. Int. Conf. Condition Monitoring and Diagnosis (CMD), pp. 950 – 953, 2012. [32] Xi Chen, Weigen Chen et al., ―Correlate-regression analysis of oil dissolved gas generation with cavity discharges‖, in Proc. High Voltage Engg. Appl. Int. Conf. (ICHVE), pp. 380 – 383, 2012. [33] S. Seifeddine, B. Khmais et al., ―Power transformer fault diagnosis based on dissolved gas analysis by artificial neural network‖, in Proc. Int. Conf. Renew. Ener. Veh. Technol. (REVET), pp. 230-236, 2012. [34] S. N Hettiwatte, H. A Fonseka, ―Analysis and interpretation of dissolved gases in transformer oil: A case study‖, in Proc. Int. Conf. Condition Monitoring and Diagnosis (CMD), pp. 35-38, 2012. [35] X. Wang, Z. D. Wang et al., “Comparison of online and lab DGA methods for condition assessment of mineral and vegetable transformer oils‖, in Proc. Int. Conf. Condition Monitoring and Diagnosis (CMD), pp. 617 – 620, 2012. [36] A. Siada, S. Islam, “A new approach to identify power transformer criticality and asset management decision based on dissolved gas- in-oil analysis‖, IEEE Trans. Dielectr. Electr. Insu., vol. 19, no. 3, pp. 1007 - 1012, 2012. [37] M. A. B. Amora, O. M. Almeida et. al., “Improved DGA method based on rules extracted from high-dimension input space”, IEEE Electr.
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