Low-speed bearing fault diagnosis based on ArSSAE model using acoustic emission and vibration signals
The development of rolling element bearing fault diagnosis systems has attracted a great deal of attention due to bearing components having a high tendency toward unexpected failures. However, under low-speed operating conditions, the diagnosis of bearing components remains a problem. In this paper,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2019
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| Subjects: | |
| Online Access: | http://eprints.utm.my/88136/1/ZairAsrarBinAhmad2019_Low-SpeedBearingFaultDiagnosisBasedonArSSAEModel.pdf |