Design and Development of Fault Classification Platform for Thermal Equipment of Thermal Power Units
During long-term operation,thermal equipment is prone to various faults due to factors such as aging equipment,improper operation,and insufficient maintenance,leading to decreased generation efficiency,increased operational costs,and even safety accidents.Therefore,effective fault detection and classification of thermal equipment have become an important part of improving the operational efficiency and safety of thermal power stations.This paper designs and develops a fault classification platform for thermal power unit thermal equipment based on.NET.The fault classification platform integrates various functions such as data collection and storage,offline model training,online detection and classification.It enables accurate detection and classification of faults in therm al power plant systems and equipment,assisting technical personnel in quickly locating and resolving issues,thereby ensuring the stable and safe operation of power plant equipment.
thermal equipmentreal-time fault monitoring and diagnosissoftware platform developmentbased on reconstruction principal component analysis
NETL
NSTL
万方数据
