摘要
针对当前火力发电厂实施设备状态检修面临的问题,提出了用数据挖掘中的决策树分类算法对反映设备状态的各类指标数据进行分析,挖掘设备状态的分类规则。对如何构造设备状态训练样本集提出了可行办法,详细描述了运用SQL语言实现决策树分类算法(ID3)的具体步骤。通过实例计算验证了该算法的正确性和有效性。
According to the problems to be faced with the implementation of condition-based maintenance of power generation equipments it is pointed out to analyze the various kinds of data reflecting the equipment conditions by the decision tree classification algorithm in the data mining and to mine the classification rules of equipment conditions. A feasible method, i.e., how to construct the training sample set of equipment conditions, is put forward. The concrete procedures to implement the decision tree algorithm by SQL language are described in detail. By means of practical examples the correctness and effectiveness of the presented algorithm are proved.
出处
《电网技术》
EI
CSCD
北大核心
2003年第12期67-70,共4页
Power System Technology
关键词
火力发电厂
发电设备
状态检修
决策树分类算法
Condition based maintenance of equipments
Decision tree classification algorithm
SQL language
Training samples
Power generation equipment
