Research on Fault Diagnosis and Maintenance Technology of Thermal Power Plant Equipment
As an important component of the power system,the stable operation of thermal power plants is crucial for ensuring social production and people's livelihoods.This paper proposes a series of solutions for various faults of thermal power plant equipment,and uses decision tree algorithm to analyze historical fault data and construct a decision tree model,achieving rapid localization and diagnosis of fault causes.The effectiveness of the proposed method was verified through case analysis,providing technical support for early diagnosis and preventive maintenance of equipment failures in thermal power plants.
power systemthermal power plant equipmentfault diagnosismaintenance techniquesdecision tree algorithmdecision tree model
万方数据
维普
