An enhanced multipoint optimal minimum entropy deconvolution approach for bearing fault detection of spur gearbox

Journal of Mechanical Science and Technology ◽

10.1007/s12206-019-0505-9 ◽

2019 ◽

Vol 33 (6) ◽

pp. 2573-2586 ◽

Author(s):

Yuanbo Xu ◽

Zongyan Cai ◽

Xiaoyan Cai ◽

Kai Ding

Keyword(s):

Fault Detection ◽

Minimum Entropy ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Download Full-text

Bearing Fault Detection Using Multipoint Optimal Minimum Entropy Deconvolution Adjusted of Motor Speed

10.23919/icems52562.2021.9634588 ◽

2021 ◽

Author(s):

Shaopeng Xue ◽

Ming Yang ◽

Xu Huang ◽

Dianguo Xu

Keyword(s):

Fault Detection ◽

Motor Speed ◽

Minimum Entropy ◽

Bearing Fault ◽

Bearing Fault Detection

Download Full-text

Bearing Fault Detection Using Scalogram and Switchable Normalization-Based CNN (SN-CNN)

IEEE Access ◽

10.1109/access.2021.3089698 ◽

2021 ◽

pp. 1-1

Author(s):

Dhiraj Neupane ◽

Yunsu Kim ◽

Jongwon Seok

Keyword(s):

Fault Detection ◽

Bearing Fault ◽

Bearing Fault Detection

Download Full-text

Embedded Bearing Fault Detection Platform Design for the Drivetrain System in the Future Industry 4.0 Era

2021 International Symposium on VLSI Design, Automation and Test (VLSI-DAT) ◽

10.1109/vlsi-dat52063.2021.9427332 ◽

2021 ◽

Author(s):

Kun-Chih Jimmy Chen ◽

Jing-Wen Liang ◽

Yueh-Chi Yang ◽

Hsiang-Ling Tai ◽

Jo-Chiao Ku ◽

...

Keyword(s):

Fault Detection ◽

Industry 4.0 ◽

Platform Design ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Download Full-text

Stray Flux-Based Incipient Stage Bearing Fault Detection for Induction Machines via Noise Cancellation Techniques

2020 IEEE Energy Conversion Congress and Exposition (ECCE) ◽

10.1109/ecce44975.2020.9235912 ◽

2020 ◽

Author(s):

Genyi Luo ◽

Thomas G. Habetler ◽

Jed Hurwitz

Keyword(s):

Fault Detection ◽

Induction Machines ◽

Noise Cancellation ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Incipient Stage

Download Full-text

Memory Residual Regression Autoencoder for Bearing Fault Detection

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2021.3072131 ◽

2021 ◽

pp. 1-1

Author(s):

Xin Huang ◽

Guangrui Wen ◽

Shuzhi Dong ◽

Haoxuan Zhou ◽

Zihao Lei ◽

...

Keyword(s):

Fault Detection ◽

Bearing Fault ◽

Bearing Fault Detection

Download Full-text

Motor Speed Signature Analysis of Bearing Fault Detection Based on SK and Adaptive Signal Reconstruction with EEMD

2019 10th International Conference on Power Electronics and ECCE Asia (ICPE 2019 - ECCE Asia) ◽

10.23919/icpe2019-ecceasia42246.2019.8797153 ◽

2019 ◽

Author(s):

Chai Na ◽

Yang Ming ◽

Ren Boyang ◽

Xu Dianguo

Keyword(s):

Fault Detection ◽

Signal Reconstruction ◽

Signature Analysis ◽

Motor Speed ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Adaptive Signal

Download Full-text

Bearing Fault Detection in Induction Motors Employing Difference Visibility Graph

2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) ◽

10.1109/pedes49360.2020.9379635 ◽

2020 ◽

Author(s):

Sayanjit Singha Roy ◽

Soumya Chatterjee ◽

Ritwick Barman ◽

Saptarshi Roy ◽

Sayantan Dey

Keyword(s):

Fault Detection ◽

Induction Motors ◽

Visibility Graph ◽

Bearing Fault ◽

Bearing Fault Detection

Download Full-text

A physics-informed deep learning approach for bearing fault detection

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2021.104295 ◽

2021 ◽

Vol 103 ◽

pp. 104295

Author(s):

Sheng Shen ◽

Hao Lu ◽

Mohammadkazem Sadoughi ◽

Chao Hu ◽

Venkat Nemani ◽

...

Keyword(s):

Deep Learning ◽

Fault Detection ◽

Learning Approach ◽

Bearing Fault ◽

Bearing Fault Detection

Download Full-text

Research on a Rolling Bearing Fault Detection Method with Wavelet Convolution Deep Transfer Learning

IEEE Access ◽

10.1109/access.2021.3067152 ◽

2021 ◽

pp. 1-1

Author(s):

Mengliang Liao ◽

Chang Liu ◽

Cong Wang ◽

Jianwei Yang

Keyword(s):

Fault Detection ◽

Transfer Learning ◽

Detection Method ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Detection

Download Full-text

A comparison of cepstral editing methods as signal pre-processing techniques for vibration-based bearing fault detection

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2016.12.036 ◽

2017 ◽

Vol 91 ◽

pp. 354-381 ◽

Author(s):

Cédric Peeters ◽

Patrick Guillaume ◽

Jan Helsen

Keyword(s):

Fault Detection ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Processing Techniques

Download Full-text