Abstract
Since mechanical failure is one of the main failures of the circuit breaker, on-line monitoring of mechanical condition has important practical significance. Mechanical vibration can reflect the mechanical state of circuit breaker in the whole time series and spectrum range. Besides, the vibration signals produced by the same type of circuit breaker are similar, and the operation status of the equipment can be diagnosed and studied by the vibration signals. Therefore, the vibration signal can be used to extract features to diagnose the running state of the equipment. In this paper, for a 12 kV AC medium volt-age vacuum circuit breaker, a variety of fault conditions are designed and the vibration signal of the breaker under normal and fault conditions is collected. The original signals are decomposed by wavelet packet and processed by method of band energy, energy entropy and Euclidean distance respectively, and then the eigenvectors including vibration characteristics are obtained. Finally Support Vector Machine is used to distinguish the normal and fault states, which provides a basis for the realization of on-line fault diagnosis technology for circuit breakers.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Rong, M.Z., S.L. Jia, and X.H. Wang. 2007. Condition monitoring of switchgear. Beijing, China: China Machine Press (in Chinese).
Sun, Y., J.W. Wu, S.J. Lian, et al. 2014. Extraction of vibration signal feature vector of circuit breaker based on empirical mode decomposition amount of energy. Transactions of China Rlectro-Technical Society. 29 (03): 228–336 (in Chinese).
Chen, W.G., B.F. Deng, and B. Yang. 2009. Fault recognition for high voltage circuit breaker based on EMD of vibration signal and energy entropy characteristic. High Voltage Apparatus. 45(02): 90–93+96 (in Chinese).
Jiang, W.T., J.Y. Zhen, and J. Mei. 2010. Simulation research on vibration signal fault diagnosis in high-voltage circuit-breakers based on wavelet transform. Electrotechnics Electric 01: 5–6+24 (in Chinese).
Xu, J.Y., B. Zhang, X. Lin, et al. 2012. Application of energy spectrum entropy vector method and RBF neural networks optimized by the particle swarm in high-voltage circuit breaker mechanical fault diagnosis. High Voltage Engineering. 38 (06): 1299–1306 (in Chinese).
Yang, W., and M.Z. Rong. 2002. A new method of high-voltage circuit breaker’s vibration signal processing. Advanced Technology of Electrical Engineering and Energy. 21 (3): 57–61 (in Chinese).
Huang, Y.L., and J.L. Qian. 1998. Mechanical condition monitoring for high voltage circuit breakers. Journal of Tsinghua University (Science and Technology): 79–81 (in Chinese).
Meng, Y.P., B. Zhong, and S.L. Jia. 2005. Application and development of the vibration analysis in the condition monitoring of electrical equipment. High Voltage Apparatus. 06: 461–546 (in Chinese).
Zhao, K., F. Wang, Y.W. Yang, et al. 2018. Mechanical condition evaluation of high voltage circuit breaker based on the features fusion and optimization of different signals. High Voltage Ap-Paratus 54 (04): 14–19 (in Chinese).
Zhong, J.Y., Y. Liu, X. Lin, et al. 2018. Mechanical fault diagnosis technology research of high-voltage circuit breaker based on the vibration signal characteristic. High Voltage Apparatus. 49 (09): 49–54 (in Chinese).
Sun, L.J., X.G. Hu, Y.C. Ji, et al. 2016. Application of wavelet packet-eigen entropy in fault diagnosis of high voltage circuit breakers. Automation of Electric Power Systems: 62–65 (in Chinese).
Pan, H., Z.X. Song, and B. Niu. 2014. Design and development of condition monitoring system for circuit breaker based on vibration signa. High Voltage Apparatus: 83–88 (in Chinese).
Hu, X.G., J.M. Dai, Y.C. Ji, et al. 2001. The fault diagnosis of high voltage breakers based on wavelet singularity detection. Proceedings of the CSEE: 68–71 (in Chinese).
Yang, M., J. Wang, X.F. Zhou, et al. 2018. De-noising method based on CEEMD and wavelet packet. Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition). 38 (02): 41–47 (in Chinese).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Beijing Oriental Sun Cult. Comm. CO Ltd
About this paper
Cite this paper
Yang, A. et al. (2021). Research on Fault Diagnosis Technology of AC Medium Voltage Vacuum Circuit Breaker Based on Wavelet Packet. In: Chen, W., Yang, Q., Wang, L., Liu, D., Han, X., Meng, G. (eds) The Proceedings of the 9th Frontier Academic Forum of Electrical Engineering. Lecture Notes in Electrical Engineering, vol 743. Springer, Singapore. https://doi.org/10.1007/978-981-33-6609-1_65
Download citation
DOI: https://doi.org/10.1007/978-981-33-6609-1_65
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-33-6608-4
Online ISBN: 978-981-33-6609-1
eBook Packages: EnergyEnergy (R0)