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《China Mechanical Engineering》 2016-02
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Feature Extraction Method Based on High Order Cumulant Faced to Running Stability Deterioration of Rotating Machinery

Jiang Zhanglei;Xu Xiaoli;Key Laboratory of Modern Measurement & Control Technology,Ministry of Education,Beijing Information Science and Technology University;  
This paper focused on feature extraction method based on high order cumulant like 1.5-dimension spectrum and fourth-order cumulant diagonal slice spectrum,and also its performance on running stability deterioration.Experimental data of varying degrees of deterioration under various types of deterioration were collected,and sensitivity property,trend property,difference property,and consistency property were proposed to evaluate different methods.It can provide theoretical basis for selecting feature extraction method for fault diagnosis and trend prediction of running stability deterioration.
【Fund】: 国家自然科学基金资助项目(51275052);; 北京市自然科学基金资助重点项目(3131002);; 北京市教委科研计划资助重点项目(KZ201311232036);; 现代测控技术教育部重点实验室开放课题资助项目(KF20141123202)
【CateGory Index】: TH17;TM315
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