Automaton Fault Diagnosis Based on Motion Morphology and Information Entropy

摘要：

　　Online monitoring and fault diagnosis is an important link of guaranteeing the equipment smooth operation and reliable working,which receives general concern.This subject uses the strategy of combining theoretical research and experimental research,and establishes a set of automaton fault diagnosis theory and method based on motion morphology and information entropy.It solves the following problems,the weak fault signals in the short-time and transient vibration response signals are easy to be drowned in practical application,effective and sensitive characteristic parameters are difficult to be extracted,accurate positioning of fault and real-time diagnosis are difficult to be realized.Use the motion morphology and information entropy to put forward new ideas and methods for the short-time and transient vibration signals analysis processing and feature extraction,and is applied in artillery automaton field,which expands the research scope of mechanical fault diagnosis subject.

关键词： Fault diagnosis information entropy motion morphology automaton

作者: Pan Mingzhi Pan Hongxia Zhao Runpeng

作者单位: School of Mechanical Engineering & Automation, North University of China, Taiyuan, China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 3175-3179

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）