| Popis: |
At present, the state evaluation of the vacuum circuit breaker mostly relies on a single sensor. For a complex circuit breaker, the characteristic quantity of the single cannot fully stand for the state of the circuit breaker. In this paper, multi-sensor is used to analyze comprehensively the status of the circuit breaker. The temperature sensor uses self-powered mode to monitor the temperature of contact arm of the circuit breaker and the consequences of evaluation of the contact arm are obtained according to the dynamic temperature rise model. The signals of vibration are collected by the vibration sensor and are extracted the feature quantity based on the algorithm of complete empirical mode decomposition of adaptive noise and sample entropy of intrinsic mode functions. The signals of angle are collected by the angle sensor and can be converted into travel by using a calculation formula, which can extract feature quantity of travel. Then combined with these two characteristics, the transmission mechanism of circuit breaker is evaluated by using the neural network. The hall sensor monitors the current of the coil, then the consequences of evaluation of the control mechanism of the circuit breaker are obtained by a nonlinear state estimation technology. Finally, through the synthesis rule of DS evidence theory, the above preliminary evaluation results are combined to obtain the consequences of final evaluation. |
