A method of the switchgear state estimation based on the hidden Markov model

The switchgear, which is directly oriented the needs of the distribution network and the users, is an important kind of facilities whose operation condition is straight relevant to the quality and reliability of power supply. In contrast to the traditional routine maintenance or break maintenance, the condition based maintenance has been developed rapidly recent years as an advanced method, where one of the most critical issues is to build a state estimation model of the switchgear. The typical state quantities and their change trend are researched and the overall process of the states evolution is modeled in this article, whereby a method of switchgear state estimation based on the hidden Markov model is proposed, which could not only identify the current state but forecast the risks ahead.