Fault Monitoring of Transformer Based on FTIR

Shu Bo Jiang

doi:10.4028/www.scientific.net/AMR.383-390.5094

Paper Titles

Study on Cable-Stayed Bridge Flutter Active Control by a Single ADM
p.5071

Numerical Improvements to Closed-Loop Ascent Guidance
p.5076

Twelve-Position Calibrating Method without North Using for Three-Axis Magnetic Sensor
p.5082

Study on SRUKF Applied in Initial Alignment with Large Misalignment Angle on Stationary Base of SINS
p.5088

Fault Monitoring of Transformer Based on FTIR
p.5094

Study on Generation of Digital Micro-Fluids Based on Surface Acoustic Wave
p.5100

The Generation of Droplets with Micro-Liter Volume Using Surface Acoustic Wave
p.5106

Low Bit Rate Speech Coding Using Lattice Vector Quantization and Time-Scale Modification
p.5111

Two-Dimensional Body Untouched Measurement System Research and Developing-Based on Sunplus SPCE3200
p.5117

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 383-390Fault Monitoring of Transformer Based on FTIR

Fault Monitoring of Transformer Based on FTIR

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.

You might also be interested in these eBooks

Manufacturing Science and Technology, ICMST2011

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

5094-5099

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.383-390.5094

Citation:

Cite this paper

Online since:

November 2011

Authors:

Shu Bo Jiang

Keywords:

BP Neural Network (BPNN), Fault Monitoring, Fourier Transformer Infrared Spectrometer, Power Equipment

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[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).

Google Scholar

[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).

DOI: 10.1109/mei.2002.1014963

Google Scholar

[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).

DOI: 10.1016/s0925-4005(96)01850-3

Google Scholar

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

Google Scholar

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

Google Scholar

[6] Cao Dun-kui, The gas analysis and fault diagnosis about the transformer oil. Beijing: China Electric Power Press, pp.25-26, (2005).

Google Scholar

[7] Wang Jing-wei, The improve research of the BP neural network algorithm, China water transport, vol. 8, pp.157-158, Jan. (2008).

Google Scholar