基于Vague集相似度量的矿井通风机故障诊断方法的研究

详细信息

Research of Fault Diagnosis Method of Mine Ventilator Based on Similarity Measures of Vague Sets

College of Electrical and Information Engineering of Anhui University of Science and Technology, Huainan 232001,China

摘要: 针对矿井通风机故障特征与故障类别之间关系的复杂性和不确定性,文章提出了一种基于Vague集相似度量的矿井通风机故障诊断方法,将故障类型与故障特征向量之间的关系以及采样得到的故障特征向量用Vague集表示,通过计算并比较故障知识Vague集与故障样本Vague集之间的相似度量得到故障诊断结果。应用实例表明,应用该诊断方法对矿井通风机进行故障诊断的结果与实际情况相符,具有一定的合理性。
- 矿井通风机 /
- 故障诊断 /
- Vague集 /
- 相似度量
Abstract: Aiming at complexity and uncertainty of relation between fault characteristics and fault types of mine ventilator,the paper proposed a kind of fault diagnosis method of mine ventilator based on similarity measures of Vague sets.The method makes relation between fault types and fault characteristics vectors and fault characteristics vectors collected to be expressed with Vague sets.Through calculating and comparing similarity measures between Vague sets of fault knowledge and Vague sets of fault samples,it gets results of fault diagnosis.The application example showed that the results of applying the diagnosis method to do fault diagnosis to mine ventilator are coincided with actual situation and the method has some rationality.
- mine ventilaotr /
- fault diagnosis /
- Vague sets /
- similarity measures