Abstract
Spring operation mechanism is widely used in high voltage circuit breakers, and its reliability is related to the ability of the circuit breaker breaking fault current. During the life cycle of spring operating mechanism, stress relaxation, metal fatigue, and any other mechanical defects are easily occurring. And the mechanical performance of the circuit breaker will be influenced by the above defects. Therefore, identifying and predicting the mechanical conditions of the spring operation mechanism can improve the reliability of the circuit breaker. In the present paper, the 252 kV circuit breakers are used as test objects. Firstly, the spring stress relaxation test, the life-cycle test, and the failure simulated test of 252 kV circuit breakers are carried out. Secondly, a multi-body dynamics simulation model of the experimental prototype is established. Thirdly, support vector machine, random forest, and deep neural network are used in the condition identification of the circuit breaker to compare their performances. Then, the prediction model of spring in stress relaxation test is built, however, the model is not suitable for the life-cycle test of repeat close-open operation. Finally, the remaining useful life prediction model is proposed by using Wiener Process.
Highlights
High voltage circuit breakers with spring operating mechanisms are widely used in the power grid
By spring stress relaxation test, life-cycle test, failure simulated test, and combined with the simulation model, the methods of identification and prediction of the spring operation mechanism are discussed in the present paper
2) The normal state, closing spring fatigue, opening spring fatigue, leak of oil buffer, and compound failures are all identified by support vector machine (SVM), random forest (RF), and deep neural network (DNN)
Summary
High voltage circuit breakers with spring operating mechanisms are widely used in the power grid. There is no research on the mechanical life prediction of the spring operating mechanism of the high-voltage circuit breaker, and there is no corresponding mathematical model. In the present paper, the normal state is randomly selected from the life-cycle test which contains the aging and wear of the spring operating mechanism, and a fatigued spring is used to simulated the fatigue failure. 3) For the diagnosis of the spring operation mechanism, not any researches aimed at using the random forest algorithm to realize high-voltage circuit breaker fault diagnosis through contact displacement signals. C. WORK ORGANIZATION The remainder of the presented paper is organized as follows: Section II introduces the stress relaxation test of the spring, the fault simulation test, and the life-cycle circuit breaker tests. The life prediction model of the spring operation mechanism is established
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