Cylindrical roller bearing fault diagnosis based on VMD-SVD and Adaboost classifier method
نویسندگان
چکیده
منابع مشابه
Fault Diagnosis of Roller Bearing Based on PCA and Multi-class Support Vector Machine
This paper discusses the fault features selection using principal component analysis and using multi-class support vector machine (MSVM) for bearing faults classification. The bearings vibration signal is obtained from experiment in accordance with the following conditions: normal bearing, bearing with inner race fault, bearing with outer race fault and bearings with balls fault. Statistical pa...
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Yunxiao Fu 1,2, Limin Jia 2,3,*, Yong Qin 2,3, Jie Yang 2,4 and Ding Fu 5 1 State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China; [email protected] 2 School of Electric Engineering, Beijing Jiaotong University, Beijing 100044, China; [email protected] (Y.Q.); [email protected] (J.Y.) 3 Beijing Research Center of Urban Traffic Inform...
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ژورنال
عنوان ژورنال: Vibroengineering PROCEDIA
سال: 2018
ISSN: 2345-0533
DOI: 10.21595/vp.2018.19806