摘要
作为电力系统的重要组成部分,火电厂的稳定运行对保障社会生产和人民生活至关重要。针对火电厂设备的各类故障提出了一系列的解决办法,并采用决策树算法分析历史故障数据,构建决策树模型,实现了对故障原因的快速定位和诊断。通过案例分析,验证了所提方法的有效性,为火电厂设备故障的早期诊断和预防性维护提供了技术支持。
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.
作者
梁栋
LIANG Dong(Jinkong Electric Shanxi Engineering Co.,Ltd.,Taiyuan,Shanxi 030000,China)
出处
《自动化应用》
2024年第16期150-152,155,共4页
Automation Application
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
power system
thermal power plant equipment
fault diagnosis
maintenance techniques
decision tree algorithm
decision tree model
