起重机械检验数据挖掘系统的设计与实现

摘要

利用数据挖掘技术,开发了起重机械检验数据挖掘系统,为检验起重机械安全运行性提供了一种有效决策模型。系统采用决策树分类,实现了对起重机械的故障诊断;利用关联规则,对起重机械缺陷、失效进行相关性分析。系统运行结果表明,该系统具有一定的应用价值。%Data mining system of inspection data of hoisting machinery was developed by using the data mining technology,which provided an effective decision-making model for inspecting safe operation of hoisting machinery.The system adopted the decision tree classifier to realize the diagnosis of the fault of hoisting machinery,and used association rules to analyze the correlation of the defection and failure of hoisting machinery.System operation results show that it has certain application values.