噪声与振动控制2011，Vol.31Issue(1)：114-118,5.DOI:10.3969/j.issn.1006-1355-2011.01.024
改进的支持向量机在旋转机械故障诊断中的应用
Application of Improved Support Vector Machine in Fault Diagnosis of Rotating Machinery
摘要
Abstract
For the complex characteristics of rotating machinery vibration faults, a fault extraction method is proposed based on the K-L transformation. Multi-classification algorithm of support vector machine (SVM) is improved. And the support vector machine regression algorithm is used for rotating machinery vibration analysis. Using the capabilities of the improved SVM in model identification and system modeling, the initial symptom, occurrence and development of the typical faults are dynamically analyzed. This work provides new ideas and methods for fault diagnosis of rotating machinery.关键词
振动与波/支持向量机/旋转机械/振动故障/K-L变换分类
信息技术与安全科学引用本文复制引用
刘德庆,唐贵基,张超..改进的支持向量机在旋转机械故障诊断中的应用[J].噪声与振动控制,2011,31(1):114-118,5.基金项目
河北省自然科学基金资助(编号:E2008001237) （编号:E2008001237）
