A Novel Online Diagnosing Technique of Turn-to-Turn Short Circuit of Large Turbine Generator

摘要

As a typical fault that jeopardizes the safe operation of generator, rotor's turn-to-turn short circuit fault has long been a puzzle to be online diagnosed accurately in the fault diagnosing area of generator. A novel diagnosing method is presented in this paper to detect the rotor turn-to-turn fault based on correlation curve analysis of rotor vibration and field current. This method does not employ any extra instruments to conduct the detection, only uses the ready-made data or curves existing in the Distribution Control System (DCS) of the power plant, without any interference to the generator. Using this novel method can detect the rotor turn-to-turn fault easily, accurately and quickly, greatly enhancing the efficiency and the accuracy of the diagnosing job. Thus, it thoroughly changes the present difficult situation about online accurate diagnosis of the rotor turn-to-turn fault, exerting great importance on ensuring the safe operation of the turbine generator.