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.
关键词
电力系统/火电厂设备/故障诊断/检修技术/决策树算法/决策树模型
Key words
power system/thermal power plant equipment/fault diagnosis/maintenance techniques/decision tree algorithm/decision tree model
维普
万方数据