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Raman Spectroscopy Diagnosis of Oil-Paper Insulation Ageing Based on Wavelet Packet Energy Entropy and Fisher Discrimination |
FAN Zhou, CHEN Wei-gen, WAN Fu, ZOU Jing-xin, WANG Jian-xin |
State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China |
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Abstract Accurate diagnosis of oil-paper insulation material is an essential technology to ensure the safe operation of equipment insulation. Raman spectroscopy has been widely used in material composition analysis and state diagnosis. In this paper, the oil-paper insulation samples obtained from the accelerated thermal ageing experiment were divided into four ageing stages according to the degree of polymerization of the paper, and researched based on the Raman spectroscopy platform. By analyzing the energy information contained in the Raman spectra of different ageing samples, the feature vector was extracted by Wavelet Packet Energy Entropy, and the discriminant function was constructed by Fisher discriminant method. What’s more, the ageing model of oil-paper insulation based on Raman spectroscopy was established, and oil samples of running transformers were collected to verify the generalization ability of diagnostic model. The results show that two discriminant functions can distinguish different ageing stages, and the accuracy rate of ageing samples reaches 84.2%. Raman spectroscopy combined with wavelet packet entropy and Fisher discriminant analysis can effectively diagnose the ageing state of oil-paper insulation.
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Received: 2017-10-24
Accepted: 2018-02-18
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[1] LIAO Rui-jin, MENG Fan-jin, ZHOU Nian-rong, et al(廖瑞金,孟繁津,周年荣,等). High Voltage Engineering(高电压技术),2014,40(2):474.
[2] 《Preventive Test Code for Electric Power Equipment(DL/T596—1996)》Writing Group(《电力设备预防试验规程(DL/T596—1996)》编写组). Beijing: China Electric Power Press(北京:中国电力出版社), 1997.
[3] SUN Chang-hai, NIAN Kai-xin, WU Yan, et al(孙长海,粘凯昕,吴 彦,等). High Voltage Engineering(高电压技术), 2016, 42(9): 2988.
[4] Emsley A M, Xiao X, Heywood R J, et al. IEE Proceedings-Science Measurement and Technology, 2000, 147(3): 115.
[5] LIAO Rui-jin, YANG Li-jun, ZHENG Han-bo, et al(廖瑞金,杨丽君,郑含博,等). Transactions of China Electrotechnical Society(电工技术学报), 2012, 27(5): 1.
[6] The International Electrotechnical Commission(国际电工委员会). Beijing: China Electric Power Press(北京:中国电力出版社), 1993.
[7] Lin Haiyang, Shao Qi, Hu Fei, et al. Thin Solid Films, 2012, 526(526): 133.
[8] Ryan Goul, Susobhan Das, Qingfeng Liu, et al. Carbon, 2017, 111(9): 386.
[9] Aleksandar Nedeljkovic, Petra Rsch, Jürgen Popp, et al. Food Analytical Methods, 2016, 9(5): 1315.
[10] CHEN Wei-gen, ZHAO Li-zhi, PENG Shang-yi, et al(陈伟根,赵立志,彭尚怡,等). Proceedings of the CSEE(中国电机工程学报), 2014, 34(15): 2485.
[11] Toshihiro Somekawa, Makoto Kasaoka, Fumio Kawachi, et al. Optics Letters, 2013, 38(7): 1086.
[12] Toshihiro Somekawa,Masayuki Fujita,Yasukazu Izawa, et al. IEEE Transactions on Dielectrics & Electrical Insulation, 2015, 22(1): 229.
[13] Jimenez J M M, Velasco R B, Vazquez L B, et al. Electrical and Computer Engineering, 2008: 000867.
[14] CHEN Yi-yun, ZHAO Rui-ying, QI Tian-ci, et al(陈奕云,赵瑞瑛,齐天赐,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2017, 37(7): 2133.
[15] Guo Jun, Li Xia, Du Xing, et al. Journal of Southwest Jiaotong University, 2010, 45(3): 373.
[16] Zhang Zhimin, Chen Shan, Liang Yizeng. Analyst, 2010, 135(5): 1138.
[17] Board I. IEEE Std C, 1995, 57: 1.
[18] Raghu S, Sriraam N, Kumar G P. Cognitive Neurodynamics, 2017, 11(1): 51.
[19] Chen Yi, Zhang Yin, Lu Huimin, et al. Multimedia Tools & Applications, 2016,(24): 1.
[20] Feng Jian, Wang Jian, Zhang Huaguang, et al. IEEE Transactions on Automation Science & Engineering, 2016, 13(1): 122. |
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