Results 231 to 240 of about 8,705 (267)

An effective method for bearing faults diagnosis

2015 3rd International Conference on Control, Engineering & Information Technology (CEIT), 2015
The bearings are the most important mechanical elements of rotating machinery. They are employed to support and rotate the shafts in rotating machinery. An unexpected defect of the bearing may cause significant economic losses. For that reason, the condition monitoring of these bearings has become a fundamental axis of development and industrial ...
A. Boudiaf, S. Bouhouche, A. K. Moussaoui, T. Samira   +3 more
openaire   +1 more source

Dictionary Learning for Bearing Fault Diagnosis

2018 IEEE Transportation Electrification Conference and Expo (ITEC), 2018
Monitoring the vibration signal is an effective way for automatic diagnosis of mechanical faults in rotary electric machines. This is done in order to to determine the state of health of electrical machines, especially those used in Hybrid Electric Vehicle (HEV) and Electric Vehicle (EV) applications, whose state of health needs to be monitored ...
Kudra H. Baruti, Mehrdad Heydar Zadeh, Mehrdad Nourani, Bilal Akin   +3 more
openaire   +1 more source

Differential Diagnosis of Gear and Bearing Faults

Journal of Vibration and Acoustics, 2002
Abstract This paper deals with the vibration-based diagnosis of rolling element bearings in the presence of strong interfering gear signals, such as is typical of helicopter gearboxes. The key idea consists in recognizing gear signals as purely periodic, whereas bearing signals experience some randomness and are close to cyclostationary,
Antoni, J., Randall, R.
openaire   +1 more source

Rolling Bearing Fault Diagnosis

2023 International Conference on Intelligent Communication and Networking (ICN), 2023
Xiuhong Jiang, Linlin Ye, Xinxin Wang, Yifan Cong   +3 more
openaire   +1 more source

Bearing Fault Diagnosis With Frequency Sparsity Learning

IEEE Transactions on Instrumentation and Measurement, 2022
Zheng Cao 0002, Jisheng Dai, Weichao Xu, Chunqi Chang   +3 more
openaire   +1 more source

Fault Diagnosis and Status Monitoring of the Bearing

2016
Bearings are widely used in the mechanical equipment and whose working condition is directly related to the operation states of the rotating elements.
Ming Qiu, Long Chen, Yingchun Li, Jiafei Yan   +3 more
openaire   +1 more source

Bearing Fault Diagnosis in Rotating Machines

2020
International ...
Delpha, Claude, Harmouche, Jinane, Benbouzid, Mohamed, Amirat, Yassine, El Bouchikhi, El Houssin, Diallo, Demba   +5 more
openaire   +2 more sources

Lifelong Learning for Bearing Fault Diagnosis with Incremental Fault Types

2022 IEEE International Conference on Prognostics and Health Management (ICPHM), 2022
Bojian Chen, Chuancang Ding, Xingxing Jiang, Juanjuan Shi, Weiguo Huang, Changqing Shen   +5 more
openaire   +1 more source

A novel method based on meta-learning for bearing fault diagnosis with small sample learning under different working conditions

Mechanical Systems and Signal Processing, 2022
Hao Su, Ling Xiang, Yonggang Xu
exaly  

A deep feature enhanced reinforcement learning method for rolling bearing fault diagnosis

Advanced Engineering Informatics, 2022
Hongkai Jiang
exaly