Open AccessResearch and Application on the Power Transmission and Transformation Equipments’ Fault Diagnosis Method Based on Online Monitoring
Author(s) -
Zhaohui Chen
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/740/1/012188
Subject(s) - fault (geology) , reliability engineering , transformation (genetics) , power transmission , power (physics) , electric power system , computer science , key (lock) , electric power transmission , warning system , fault indicator , state (computer science) , transmission (telecommunications) , engineering , real time computing , fault detection and isolation , electrical engineering , computer security , telecommunications , artificial intelligence , biochemistry , chemistry , algorithm , quantum mechanics , seismology , actuator , gene , geology , physics
How to ensure the safe and stable operation of power system is one of the key tasks that need to be solved urgently in power department at present, and the fault factors such as normal operation and condition maintenance of power transmission and transformation equipment determine the safety of power system. In order to solve the fault diagnosis method of transmission and transformation equipment, improving the efficiency of equipment condition maintenance and improving the ability of fault discrimination is one of the main solutions. In this paper, through the equipment state evaluation and fault early warning based on-line monitoring, a variety of inspection measures are fully considered through the model, so as to predict the equipment with hidden trouble and put forward the fault early warning.