基于改进模糊SVM的转子振动故障诊断技术

艾延廷; 费成巍; 王志

基于改进模糊SVM的转子振动故障诊断技术

沈阳航空航天大学动力与能源工程学院,沈阳 110136

基金项目: 航空科学基金(2008ZB54006)

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出版历程
- 收稿日期: 2010-05-07
- 修回日期: 2010-06-23
- 刊出日期: 2011-05-28

Technique for diagnosing fault of rotor vibration based on improved fuzzy SVM

College of Power and Energy Engineering, Shenyang Aerospace University, Shenyang 110136, China

摘要

摘要: 首先对常用的隶属度确定方法进行改进,提出了基于改进模糊支持向量机(FSVM)的融合故障诊断方法,并建立了改进FSVM故障诊断数学模型;然后,利用转子振动模拟实验台对四种典型的转子诊断故障进行模拟,并提取其故障信号特征;最后,通过实例计算分析,验证了该方法在转子振动故障诊断方面是可行的和有效的.
- 转子振动 /
- 故障诊断 /
- 隶属度 /
- 模糊理论 /
- 支持向量机 (SVM) /
- 模糊支持向量机 (FSVM) /
- 最优分类面
Abstract: A fuzzy support vector machine (FSVM) fault diagnosis method was proposed based on improvement of the ordinary diagnosis method used to determine memberships,and an improved diagnosis mathematical model was established.Then,four kinds of typical rotor vibration faults were simulated on a rotor vibration experimental rig,and effective samples of fault were collected.Finally,the validity and feasibility of this method used for rotor vibration fault diagnosis were validated by calculating and analyzing the obtained examples.
- rotor vibration /
- fault diagnosis /
- membership /
- fuzzy theory /
- support vector machine (SVM) /
- fuzzy support vector machine (FSVM) /
- optimal separating hyperplane

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参考文献(13)

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