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Articles (93)

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1-10 of 93 results for Maximum Mean Discrepancy

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Select article: Integrating the maximum mean discrepancy metric with time–frequency enhanced convolutional neural networks for fault diagnosis

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Research article

First published 2026-3

Integrating the maximum mean discrepancy metric with time–frequency enhanced convolutional neural networks for fault diagnosis

Xueyi Li, Peng Yuan, Jun Yu [...]

Structural Health Monitoring

Select article: Performance degradation assessment of wind turbine gearbox based on maximum mean discrepancy and multi-sensor transfer learning

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First published 2021-1

Performance degradation assessment of wind turbine gearbox based on maximum mean discrepancy and multi-sensor transfer learning

Yubin Pan, Rongjing Hong, Jie Chen [...]

Structural Health Monitoring

Select article: An integrated approach for mechanical fault diagnosis using maximum mean square discrepancy representation and CNN-based mixed information fusion

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First published 2025-11

An integrated approach for mechanical fault diagnosis using maximum mean square discrepancy representation and CNN-based mixed information fusion

Chengcheng Wang, Xueyi Li, Peng Yuan [...]

Structural Health Monitoring

Select article: An attention mechanism-guided domain adversarial network for gearbox fault diagnosis under different operating conditions

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First published 2024-3

An attention mechanism-guided domain adversarial network for gearbox fault diagnosis under different operating conditions

Baokun Han, Bo Li, Huadong Du [...]

Transactions of the Institute of Measurement and Control

Select article: Detecting Insider Malicious Activities in Cloud Collaboration Systems

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Research article

First published 2018

Detecting Insider Malicious Activities in Cloud Collaboration Systems

Smrithy G S, Alfredo Cuzzocrea, Ramadoss Balakrishnan

Fundamenta Informaticae

Select article: Cross-domain gearbox diagnostics under variable working conditions with deep convolutional transfer learning

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First published 2021-4

Cross-domain gearbox diagnostics under variable working conditions with deep convolutional transfer learning

Moslem Azamfar, Jaskaran Singh, Xiang Li [...]

Journal of Vibration and Control

Select article: An acoustic-homologous transfer learning approach for acoustic emission–based rail condition evaluation

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Research article

First published 2021-7

An acoustic-homologous transfer learning approach for acoustic emission–based rail condition evaluation

Si-Xin Chen, Lu Zhou, Yi-Qing Ni [...]

Structural Health Monitoring

Select article: Angle-based transfer support matrix machine for roller bearing fault diagnosis under limited labeled data

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Research article

First published 2026-3

Angle-based transfer support matrix machine for roller bearing fault diagnosis under limited labeled data

Anbo Tang, Meng Wang, Haiyang Pan

Structural Health Monitoring

Select article: Intelligent fault diagnosis of rotating machinery under variable working conditions based on deep transfer learning with fusion of local and global time–frequency features

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First published 2024-7

Intelligent fault diagnosis of rotating machinery under variable working conditions based on deep transfer learning with fusion of local and global time–frequency features

Xiao Yu, Songcheng Wang, Hongyang Xu [...]

Structural Health Monitoring

Select article: Deep transfer learning for rolling bearing fault diagnosis under variable operating conditions

Open access

Research article

First published 2019-12

Deep transfer learning for rolling bearing fault diagnosis under variable operating conditions

Changchang Che, Huawei Wang, Qiang Fu [...]

Advances in Mechanical Engineering

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