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Journal Articles

Research on fault diagnosis of electric submersible pump based on improved convolutional neural network with Bayesian optimization

Min Wan, Meihui Gou

Rev. Sci. Instrum. 94, 115109 (2023)

https://doi.org/10.1063/5.0165621

Published: November 2023

View article titled, Research on fault diagnosis of electric submersible pump based on improved convolutional neural network with Bayesian optimization

Journal Articles

Research on fault diagnosis of rolling bearing based on multi-sensor bi-layer information fusion under small samples

Chaoqun Hu, Yonghua Li, Zhe Chen, Denglong Wang, Zhihui Men

Rev. Sci. Instrum. 94, 115106 (2023)

https://doi.org/10.1063/5.0174359

Published: November 2023

View article titled, Research on fault diagnosis of rolling bearing based on multi-sensor bi-layer information fusion under small samples

Journal Articles

A cascaded convolutional neural networks for stroke detection imaging

Jinzhen Liu, Xiaochuan He, Hui Xiong

Rev. Sci. Instrum. 94, 113701 (2023)

https://doi.org/10.1063/5.0167592

Published: November 2023

View article titled, A cascaded convolutional neural networks for stroke detection imaging

Journal Articles

Refined composite moving average fluctuation dispersion entropy and its application on rolling bearing fault diagnosis

Yinsheng Chen, Jiahui Chen, Yukang Qiang, Zichen Yuan, Jingli Yang

Rev. Sci. Instrum. 94, 105110 (2023)

https://doi.org/10.1063/5.0165430

Published: October 2023

View article titled, Refined composite moving average fluctuation dispersion entropy and its application on rolling bearing fault diagnosis

Journal Articles

Improving cement production process with data-augmented sequence to sequence-Wasserstein generative adversarial networks model for accurate prediction of f-CaO

Ying Zhang (张影), Jinbo Liu (刘金波), Hui Dang (党辉), Yifu Zhang (张逸夫), Gaolu Huang (黄高路), Junze Jiao (焦俊泽), Xiaochen Hao (郝晓辰)

Rev. Sci. Instrum. 94, 105111 (2023)

https://doi.org/10.1063/5.0158092

Published: October 2023

View article titled, Improving cement production process with data-augmented sequence to sequence-Wasserstein generative adversarial networks model for accurate prediction of f-CaO

Journal Articles

Learning a simulation-based visual policy for real-world peg in unseen holes

Liang Xie, Hongxiang Yu, Kechun Xu, Tong Yang, Minhang Wang, Haojian Lu, Rong Xiong, Yue Wang

Rev. Sci. Instrum. 94, 105107 (2023)

https://doi.org/10.1063/5.0168544

Published: October 2023

View article titled, Learning a simulation-based visual policy for real-world peg in unseen holes

Journal Articles

Identification of two-phase flow patterns based on capacitance data of electrical capacitance tomography with semi-supervised generative adversarial network

Heming Gao, Shuaichao Ku, Xiaohu Jian

Rev. Sci. Instrum. 94, 104705 (2023)

https://doi.org/10.1063/5.0160806

Published: October 2023

View article titled, Identification of two-phase flow patterns based on capacitance data of electrical capacitance tomography with semi-supervised generative adversarial network

Journal Articles

A versatile control program for positioning and shooting targets in laser–plasma experiments

P. J. Wang, D. H. Wang, Y. Gao, Y. R. Shou, J. B. Liu, Z. S. Mei, Z. X. Cao, Z. Pan, D. F. Kong, S. R. Xu, Z. P. Liu, S. Y. Chen, J. R. Zhao, Y. X. Geng, Y. Y. Zhao, X. Q. Yan, W. J. Ma

Rev. Sci. Instrum. 94, 093303 (2023)

https://doi.org/10.1063/5.0158103

Published: September 2023

View article titled, A versatile control program for positioning and shooting targets in laser–plasma experiments

Includes: Supplementary data

Journal Articles

IRMSwin-T: A lightweight shifted windows transformer based on inverted residual structure and residual multi-layer perceptron for rolling bearing fault diagnosis

Shanshan Ding, Renwen Chen, Hao Liu, Fei Liu, Junyi Zhang

Rev. Sci. Instrum. 94, 095116 (2023)

https://doi.org/10.1063/5.0171091

Published: September 2023

View article titled, IRMSwin-T: A lightweight shifted windows transformer based on inverted residual structure and residual multi-layer perceptron for rolling bearing fault diagnosis

Journal Articles

A regression model combined convolutional neural network and recurrent neural network for electroencephalogram-based cross-subject fatigue detection

Duanyang Yuan, Jingwei Yue, Huiyan Xu, Yuanbo Wang, Peng Zan, Chunyong Li

Rev. Sci. Instrum. 94, 094101 (2023)

https://doi.org/10.1063/5.0133092

Published: September 2023

View article titled, A regression model combined convolutional neural network and recurrent neural network for electroencephalogram-based cross-subject fatigue detection

Journal Articles

Quantitative identification of daily mental fatigue levels based on multimodal parameters

Ruijuan Chen, Rui Wang, Jieying Fei, Lengjie Huang, Jinhai Wang

Rev. Sci. Instrum. 94, 095106 (2023)

https://doi.org/10.1063/5.0162312

Published: September 2023

View article titled, Quantitative identification of daily mental fatigue levels based on multimodal parameters

Journal Articles

Anomaly classification by inserting prior knowledge into a max-tree based method for divertor hot spot characterization on WEST tokamak

Valentin Gorse, Raphaël Mitteau, Julien Marot

Rev. Sci. Instrum. 94, 083510 (2023)

https://doi.org/10.1063/5.0156956

Published: August 2023

View article titled, Anomaly classification by inserting prior knowledge into a max-tree based method for divertor hot spot characterization on WEST tokamak

Journal Articles

A novel rolling bearing fault diagnosis method based on parameter optimization variational mode decomposition with feature weighted reconstruction and multi-target attention convolutional neural networks under small samples

Chaoqun Hu, Yonghua Li, Zhe Chen, Zhihui Men

Rev. Sci. Instrum. 94, 075109 (2023)

https://doi.org/10.1063/5.0158412

Published: July 2023

View article titled, A novel rolling bearing fault diagnosis method based on parameter optimization variational mode decomposition with feature weighted reconstruction and multi-target attention convolutional neural networks under small samples

Journal Articles

Prediction model of transformer top oil temperature based on data quality enhancement

Naxin Dong, Ruoyu Zhang, Zong Li, Bin Cao

Rev. Sci. Instrum. 94, 074707 (2023)

https://doi.org/10.1063/5.0159072

Published: July 2023

View article titled, Prediction model of transformer top oil temperature based on data quality enhancement

Journal Articles

Improving pose estimation accuracy for large hole shaft structure assembly based on super-resolution

Kuai Zhou, Xiang Huang, Shuanggao Li, Gen Li

Rev. Sci. Instrum. 94, 065014 (2023)

https://doi.org/10.1063/5.0150299

Published: June 2023

View article titled, Improving pose estimation accuracy for large hole shaft structure assembly based on super-resolution

Journal Articles

Review of Scientific Instruments New Products

Andreas Mandelis

Rev. Sci. Instrum. 94, 069501 (2023)

https://doi.org/10.1063/5.0160144

Published: June 2023

View article titled, <em>Review of Scientific Instruments</em> New Products

Journal Articles

Advanced data analysis in inertial confinement fusion and high energy density physics

P. F. Knapp, W. E. Lewis

Rev. Sci. Instrum. 94, 061103 (2023)

https://doi.org/10.1063/5.0128661

Published: June 2023

View article titled, Advanced data analysis in inertial confinement fusion and high energy density physics

Journal Articles

Convolutional neural network-based pose mapping estimation as an alternative to traditional hand–eye calibration

Kuai Zhou, Xiang Huang, Shuanggao Li, Gen Li

Rev. Sci. Instrum. 94, 065002 (2023)

https://doi.org/10.1063/5.0147783

Published: June 2023

View article titled, Convolutional neural network-based pose mapping estimation as an alternative to traditional hand–eye calibration

Journal Articles

An effective approach based on nonlinear spectrum and improved convolution neural network for analog circuit fault diagnosis

Le-rui Chen, Umer Sadiq Khan, Muhammad Kashif Khattak, Sheng-jun Wen, Hai-quan Wang, He-yu Hu

Rev. Sci. Instrum. 94, 054709 (2023)

https://doi.org/10.1063/5.0142657

Published: May 2023

View article titled, An effective approach based on nonlinear spectrum and improved convolution neural network for analog circuit fault diagnosis

Journal Articles

Research on fatigue identification methods based on low-load wearable ECG monitoring devices

Huiquan Wang, Mengting Han, Tasmia Avouka, Ruijuan Chen, Jinhai Wang, Ran Wei

Rev. Sci. Instrum. 94, 045103 (2023)

https://doi.org/10.1063/5.0138073

Published: April 2023

View article titled, Research on fatigue identification methods based on low-load wearable ECG monitoring devices

NARROW

Topics

Research on fault diagnosis of electric submersible pump based on improved convolutional neural network with Bayesian optimization

Research on fault diagnosis of rolling bearing based on multi-sensor bi-layer information fusion under small samples

A cascaded convolutional neural networks for stroke detection imaging

Refined composite moving average fluctuation dispersion entropy and its application on rolling bearing fault diagnosis

Improving cement production process with data-augmented sequence to sequence-Wasserstein generative adversarial networks model for accurate prediction of f-CaO

Learning a simulation-based visual policy for real-world peg in unseen holes

Identification of two-phase flow patterns based on capacitance data of electrical capacitance tomography with semi-supervised generative adversarial network

A versatile control program for positioning and shooting targets in laser–plasma experiments

IRMSwin-T: A lightweight shifted windows transformer based on inverted residual structure and residual multi-layer perceptron for rolling bearing fault diagnosis

A regression model combined convolutional neural network and recurrent neural network for electroencephalogram-based cross-subject fatigue detection

Quantitative identification of daily mental fatigue levels based on multimodal parameters

Anomaly classification by inserting prior knowledge into a max-tree based method for divertor hot spot characterization on WEST tokamak

A novel rolling bearing fault diagnosis method based on parameter optimization variational mode decomposition with feature weighted reconstruction and multi-target attention convolutional neural networks under small samples

Prediction model of transformer top oil temperature based on data quality enhancement

Improving pose estimation accuracy for large hole shaft structure assembly based on super-resolution

Review of Scientific Instruments New Products

Advanced data analysis in inertial confinement fusion and high energy density physics

Convolutional neural network-based pose mapping estimation as an alternative to traditional hand–eye calibration

An effective approach based on nonlinear spectrum and improved convolution neural network for analog circuit fault diagnosis

Research on fatigue identification methods based on low-load wearable ECG monitoring devices

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