现代制造工程Issue(10)：146-150,5.DOI:10.16731/j.cnki.1671-3133.2017.10.028
基于多尺度模糊熵的旋转机械故障诊断研究
Research on faulty diagnose for rotation machine based on multi-scale fuzzy entropy
摘要
Abstract
From the angle of vibration signal complex for rotation machine ,the construction of characteristic entropy is studied and a set of multi-scale fuzzy entropy is put forward to identify the vibration signal with different faulty .Accounting for theory defect of traditional faulty identification which depends on prior knowledge , the identification method based on variable predetermination model is instructed into faulty diagnose for rotation machine .The new method is applied in a living example ,which show the meth-od is effective .关键词
多尺度模糊熵/旋转机械/变量预测模型/模式识别Key words
multi-scale fuzzy entropy/rotation machine/Variable Predictive Model Based on Class Discriminate ( VPMBCD)/mo-dal identification分类
信息技术与安全科学引用本文复制引用
李永军,马立元,崔心瀚..基于多尺度模糊熵的旋转机械故障诊断研究[J].现代制造工程,2017,(10):146-150,5.
