Fault Monitoring of Transformer Based on FTIR

Author:

Jiang Shu Bo1

Affiliation:

1. Nanjing University of Technology

Abstract

Transformer is important power transmission equipment, and its working condition directly affects the safety level. Using the Fourier transformer infrared spectrometer for the qualitative analysis of the fault gases, using the theory of BP neural network for the quantitative analysis of the characteristics of the fault gases, can determine the operational status of transformer. This method monitors the function of the transformer effectively, judges the potential failure or hidden dangers accurately.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference7 articles.

1. Xu Kun, Zhou Jian-hua, Ru Qiu-shi, Zhou Zhuo, Development and Prospect of Transformer Oil Dissolved Gas On-line Monitor Technology, High Voltage Engineering, vol. 31, pp.30-32, Aug. (2005).

2. Duval Michel, A review of faults detectable by gas-in-oil analysis in transformers, IEEE Electrical Insulation Magazine, vol. 18, pp.8-17, May (2002).

3. Brailsford D. A., Yussouff M., Logothetis E. M., Theory of gas sensor response of an electrochemical sensor to multi-component gas mixtures, Sensors and Actuators, vol. 34, pp.407-411, Aug. (1996).

4. Lu Wan-zhen, Modern NIR Technology. Beijing: China petrochemical Press, pp.35-45, (2007).

5. Chen Yun-kui, Infrared Absorption Spectrometry and Its Allocation. Shanghai: Shanghai Jiaotong University Press, pp.20-23, (1993).

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