基于模糊决策树的采煤机故障诊断研究

Study of Fault Diagnosis for Shearer Based on Fuzzy Decision Tree

针对粗糙集理论只限于处理清晰数据的不足,本文将粗糙集理论和模糊集理论相结合,通过计算决策属性相对于条属性的依赖度,并把这种度量方法用于模糊决策树的设计中,提出了一种基于模糊决策树的采煤机故障诊断算法。通过实分析,此方法能够提高采煤机故障诊断的准确性和效率。

To the restriction of rough set theory that can only handle the crisp data,this paper incorporated this measure that combined rough set theory with fuzzy set theory to calculate dependency degree of decision attribute on condition attribute into the design of fuzzy decision tree and proposed a shearer fault diagnosis algorithm based on fuzzy decision tree. It can enhance the accuracy and efficiency of shearer fault diagnosis by analyzing the experiment.