Shape characteristic analysis of chaotic attractor for mechanical vibration signal of high-voltage circuit breaker

被引:0
作者
Ruan J. [1 ]
Yang Q. [1 ]
Huang D. [1 ]
Zhuang Z. [2 ]
机构
[1] School of Electrical Engineering and Automation, Wuhan University, Wuhan
[2] Power Products Medium Voltage Technology Center, ABB(China) Co., Ltd., Xiamen
来源
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2020年 / 40卷 / 03期
关键词
Attractor's shape; Fault degree; Feature extraction; High-voltage circuit breaker; Phase space recons-truction; Vibration signal;
D O I
10.16081/j.epae.202001023
中图分类号
学科分类号
摘要
A new vibration feature extraction method based on the shape characteristics of chaotic attractor for HVCB(High-Voltage Circuit Breaker) is proposed and discussed. Qualitative and quantitative chaos analysis of HVCB's vibration signal are carried out respectively by using power spectrum and Lyapunov index, which confirms that the vibration signals of HVCB contain both dynamic and chaotic characteristics. Then phase space reconstruction of vibration signal is performed to analyze the relationship between shape characteristics of chaotic attractor and fault types of HVCB. Taking the opening damper faults with different degrees as examples, the evolution rules of chaotic attractors under different fault degrees are discussed. The results show that the shape of chaotic attractor is stable under same fault type and sensitive to fault type and fault degree, which indicates that the shape characteristic of chaotic attractor is an effective and practical way to study the feature extraction of HVCB's vibration signal. © 2020, Electric Power Automation Equipment Editorial Department. All right reserved.
引用
收藏
页码:187 / 193
页数:6
相关论文
共 20 条
  • [1] Zhao S., Wang Y., Sun H., Et al., Research of circuit breaker fault recognition method based on adaptive weighted of evidence theory, Proceedings of the CSEE, 37, 23, pp. 7040-7046, (2017)
  • [2] Yang Q., Ruan J., Huang D., Et al., Over-travel detection of electrical contact for high-voltage circuit breaker based on improved HHT and SVM, Electric Power Automation Equipment, 39, 1, pp. 198-204, (2019)
  • [3] Yang Q., Ruan J., Zhuang Z., Et al., Condition evaluation for opening damper of spring operated high-voltage circuit breaker using vibration time-frequency image, IEEE Sensors Journal, 19, 18, pp. 8116-8126, (2019)
  • [4] Lai M.L., Park S.Y., Lin C.C., Et al., Mechanical failure detection of circuit breakers, IEEE Transactions on Power Delivery, 3, 4, pp. 1724-1731, (1988)
  • [5] Hess D.P., Park S.Y., Tangri M.K., Et al., Noninvasive condition assessment and event timing for power circuit breakers, IEEE Transactions on Power Delivery, 7, 1, pp. 353-360, (1992)
  • [6] Polycarpou A.A., Soom A., Swarnakar V., Et al., Event timing and shape analysis of vibration bursts from power circuit breakers, IEEE Transactions on Power Delivery, 11, 2, pp. 848-857, (1996)
  • [7] Hoidalen H.K., Runde M., Haugland O., Et al., Continuous monitoring of circuit breakers using vibration analysis, IEEE Transactions on Power Delivery, 20, 4, pp. 2456-2465, (2005)
  • [8] Landry M., Leonard F., Landry C., Et al., An improved vibration analysis algorithm as a diagnostic tool for detecting mechanical anomalies on power circuit breakers, IEEE Transactions on Power Delivery, 23, 4, pp. 1986-1994, (2008)
  • [9] Huang J., Hu X., Gong Y., Machinery fault diagnosis of high voltage circuit breaker based on empirical mode decomposition, Proceedings of the CSEE, 31, 12, pp. 108-113, (2011)
  • [10] Sun Y., Wu J., Lian S., Et al., Extraction of vibration signal feature vector of circuit breaker based on empirical mode decomposition amount of energy, Transactions of China Electrotechnical Society, 29, 3, pp. 228-236, (2014)