摘要
主要研究了数据挖掘中决策树算法的基本思想和算法。针对目前钻井过程故障诊断的需求,结合决策树算法的特点,提出了一种基于决策树的钻井过程故障诊断专家系统模型。分析了钻井系统事故状态下的相关特征参数,并对基于决策树的钻井过程状态和知识获取进行了详细的论述。通过实例运用ID3算法实现了决策树的建立,为钻井过程故障诊断奠定了坚实的基础。最后提出了对算法的改进,综合对实际数据的处理结果表明,基于数据挖掘的决策树算法可以很好地识别钻井过程中的不同状态,能够实现故障诊断。
Mainly researches the basic method and algorithm of decision tree in data mining. In view of the requirement of the fault diagnosis in drilling project, combining with the characters of decision tree, proposes the drilling fault diagnosis expert system model based on the decision tree. It analyzes the characters of the drilling fault states, and it makes a detail discourse about the state of drilling process and the knowledge acquired, through the example with ID3, it implements the establishment of decision tree, which fixes the solid foundation for the expert system. At last proposes a method to improve the ID3 algorithm, and combining with the data processing result show that the decision tree algorithm based on data mining can recognize the different drilling states very well and implement the fault diagnosis.
出处
《计算机技术与发展》
2010年第2期114-116,120,共4页
Computer Technology and Development
基金
国家重大专项项目(2008ZX05021-006)
