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Research Article

A self-Adaptive CNN with PSO for bearing fault diagnosis

Jungan Chena Department of Electronic and Computer Science, Zhejiang Wanli University, Ningbo, People’s Republic of ChinaCorrespondence[email protected]
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Jean Jiangb College of Technology, Purdue University Northwest, Hammond, IN, USAView further author information

Xinnian Guoc Department of Electronic Information Engineering, Huaiyin Institute of Technology, Huaian, People’s Republic of ChinaView further author information

Lizhe Tand Department of Electrical and Computer Engineering, Purdue University Northwest, Hammond, IN, USAView further author information

Pages 11-22 | Received 09 Jul 2020, Accepted 02 Dec 2020, Published online: 17 Dec 2020

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https://doi.org/10.1080/21642583.2020.1860153
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Lin Li, Weilun Meng, Xiaodong Liu & Jiyou Fei. (2023) Research on Rolling Bearing Fault Diagnosis Based on Variational Modal Decomposition Parameter Optimization and an Improved Support Vector Machine. Electronics 12:6, pages 1290.
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Ronghua Chen, Yingkui Gu, Kuan Wu & Cheng Li. (2022) Rolling bearing intelligent fault diagnosis method based on IPSO-WCNN. Measurement and Control 56:3-4, pages 681-693.
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Guanhua Zhu, Xiaofan Liu & Lizhe Tan. (2023) Bearing Fault Diagnosis Based on Sparse Wavelet Decomposition and Sparse Graph Connection Using GraphSAGE. Bearing Fault Diagnosis Based on Sparse Wavelet Decomposition and Sparse Graph Connection Using GraphSAGE.

Diwang Ruan, Jin Wang, Jianping Yan & Clemens Gühmann. (2023) CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis. Advanced Engineering Informatics 55, pages 101877.
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Bo Peng, Ying Bi, Bing Xue, Mengjie Zhang & Shuting Wan. (2022) A Survey on Fault Diagnosis of Rolling Bearings. Algorithms 15:10, pages 347.
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Ye‐Qun Wang, Jian‐Yu Li, Chun‐Hua Chen, Jun Zhang & Zhi‐Hui Zhan. (2022) Scale adaptive fitness evaluation‐based particle swarm optimisation for hyperparameter and architecture optimisation in neural networks and deep learning. CAAI Transactions on Intelligence Technology.
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Xiaofan Liu, Yuanyang Cai, Yanan Song & Lizhe Tan. (2022) Bearing Fault Diagnosis Based on Multi-scale Neural Networks. Bearing Fault Diagnosis Based on Multi-scale Neural Networks.

Quan Sun, Xianghai Yu, Hongsheng Li, Fei Peng & Guodong Sun. (2022) Fault detection for power electronic converters based on continuous wavelet transform and convolution neural network. Journal of Intelligent & Fuzzy Systems 42:4, pages 3537-3549.
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Xiaofan Liu, Jason Centeno, Juan Alvarado & Lizhe Tan. (2022) One Dimensional Convolutional Neural Networks Using Sparse Wavelet Decomposition for Bearing Fault Diagnosis. IEEE Access 10, pages 86998-87007.
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Chaoying Yang, Kaibo Zhou, Jie Liu & Qi Xu. (2021) Power Spectral Entropy-based Graph Construction for Rotating Machinery Diagnosis Using Multi-sensor. Power Spectral Entropy-based Graph Construction for Rotating Machinery Diagnosis Using Multi-sensor.

Yuanyang Cai, Lizhe Tan & Junngan Chen. (2021) Evaluation of Deep Learning Neural Networks with Input Processing for Bearing Fault Diagonosis. Evaluation of Deep Learning Neural Networks with Input Processing for Bearing Fault Diagonosis.

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A self-Adaptive CNN with PSO for bearing fault diagnosis

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A self-Adaptive CNN with PSO for bearing fault diagnosis

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