High voltage circuit breaker dynamics simulation and mechanical state recognition

The failure of operating mechanism occupies the absolute majority of the high voltage circuit breaker failure. Identification and prediction of operating mechanism of the failure of high voltage circuit has a great effect in breaker maintenance and overhaul. In this paper, a mechanical status identification method based on covariance matrix is used to get mechanical characteristic signals from the contact travel curve. The theory of Principle Component Analysis (PCA) is a projection from high-dimensional data to low-dimensional data. Then it extracts the main characteristic of the sample to identify other data. To use PCA, a large amount of data of the breaker under fault condition is needed. But to simulate the fault condition of the breaker, some experiments are not easy to do to get the data we want and some experiments are very harmful to the breaker. In this paper, based on multi-body dynamics theory and method, a high voltage circuit model has been developed to carry out the high voltage circuit breaker dynamics simulation. The simulation of the opening and closing process of the high-voltage circuit breaker under varieties of typical fault conditions is carried out to get speed curve and travel curve. The mechanical characteristic signals of typical failure types are extracted from a large number of simulation data. The typical failure types of high voltage circuit breaker can be identified and predicted in the work through the mechanical characteristic signals.