A Method of Mechanical Fault Identification of Permanent Magnet Repulsion Mechanism of Vacuum Circuit Breaker Based on Chaos Attractor
Liu Xiaoming1, Zhang Xusong1, Jiang Wentao2, Chen Hai1, Chen Junping3, Song Boyang1
1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin 300130 China; 2. School of Mechanical Engineering Tiangong University Tianjin 300387 China; 3. Chengdu Xuguang Electronics Co. Ltd Chengdu 610500 China
Abstract In order to solve the problem that the vibration signal of repulsive mechanism of vacuum circuit breaker is transient, nonlinear, and it is difficult to quantitatively evaluate and identify the fault, this paper proposes a method of repulsive mechanism fault evaluation and identification based on chaotic attractor moment feature of attractor morphology and particle swarm optimization support vector machine. The typical faults of the repulsive mechanism in the process of opening and closing, especially the vibration signals of the opening oil buffer with different degrees of overmodulation fault, are analyzed. Firstly, the phase space reconstruction method of chaos theory and Wolf algorithm are used to obtain the maximum Lyapunov exponent, which shows that the vibration signal of repulsive mechanism has obvious chaotic characteristics. The evolution of chaotic attractor of the vibration signal is qualitatively analyzed using three-dimensional phase diagram. Then, the chaotic attractor moment theory is introduced to extract four kinds of two-dimensional attractor moments. The slope of the first region curve is calculated as the attractor morphological feature by the least square linear regression method, and the time-domain signals are extracted to form the feature vector library. Finally, the accuracy of the support vector machine algorithm and the particle swarm optimization-support vector machine combination algorithm is compared. The experimental results show that the proposed method can accurately identify the fault types of repulsive mechanism.
Liu Xiaoming,Zhang Xusong,Jiang Wentao等. A Method of Mechanical Fault Identification of Permanent Magnet Repulsion Mechanism of Vacuum Circuit Breaker Based on Chaos Attractor[J]. Transactions of China Electrotechnical Society, 2022, 37(20): 5334-5346.
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2022, Vol. 37 
