Research on Bearing Fault Diagnosis Using APSO-SVM Method

Research on Bearing Fault Diagnosis Using APSO-SVM Method

According to the statistics, over 30 % of rotating equipment faults occurred in bearings. Therefore, the fault diagnosis of bearing has a great significance. To achieve effective bearing faults diagnosis, a diagnosis model based on support vector machine (SVM) and accelerated particle swarm optimiza...

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Bibliographic Details
Main Authors: Guangchun Yang, Qingping Jian, Hong Zhou
Format: Article
Language:English
Published: IFSA Publishing, S.L. 2014-07-01
Series:Sensors & Transducers
Subjects:
Accelerated particle swarm optimization
Support vector machine
Parameter optimization
Fault diagnosis
EMD decomposition.
Online Access:http://www.sensorsportal.com/HTML/DIGEST/july_2014/Vol_175/P_2246.pdf

Internet

http://www.sensorsportal.com/HTML/DIGEST/july_2014/Vol_175/P_2246.pdf

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