Characteristic Difference Analysis and Identification Method of Typical Mechanical Defects for GIS Three-position Switches
In recent years,frequent equipment failures have been observed in GIS three-position switches due to inade-quate mechanical movement.In order to enhance the detection and maintenance capabilities for mechanical defects causing the incomplete movement of GIS three-position switches,in this paper,a 126 kV fully-functional three-position switch test platform was firstly utilized to simulate three typical mechanical defects,namely,mechanism sticking,trans-mission decoupling,and motor stalling.The motor currents,angular displacement trajectories,and vibration signals were experimentally collected during the opening and closing actions of the three-position switch under normal conditions and with the three typical mechanical defects.Subsequently,the"current-mechanical"characteristic parameters under the three types of defects were extracted and analyzed.Finally,the random forest algorithm was employed to construct a di-agnostic model for typical mechanical defects in GIS three-position switches and validates its effectiveness.The results indicate that individual characteristics such as motor current,angular displacement,or vibration signal patterns alone are insufficient for effectively distinguishing different types of mechanical defects.However,the"current-mechanical"fusion feature parameter demonstrates significant effectiveness in distinguishing the three typical mechanical defects.The ran-dom forest diagnostic model,based on the"current-mechanical"fusion feature parameter,can reliably diagnose mecha-nism sticking,transmission decoupling,and motor stalling.The result can provide a technical reference for improving the safety operation of GIS three-position switches in practical engineering applications.