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Du Xu - IEEE Xplore Author Profile
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Du Xu

Publications
2
Citations
6
Publications by Year
20232024
Co-Authors:
Show All Co-Authors (7)
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Du Xu

Affiliation

August First Film Studio, Beijing, China

Publication Topics

Biography

Du Xu received the B.Sc. degree from Beijing Film Academy, Beijing, China, in 2016.,His research interests include image processing, image optimization, and image signal processing.(Based on document published on 9 June 2023).
Publications
2
Citations
6
Publications by Year
20232024
Co-Authors:
Show All Co-Authors (7)
Author's Published Works

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Multi-Node Feature Learning Network Based on Maximum Spectral Harmonics-to-Noise Ratio Deconvolution for Machine Condition Monitoring

Qiuyang Zhou;Cai Yi;Lei Yan;Chenguang Huang;Xinwu Song;Du Xu;Lu Zhou;Jianhui Lin

IEEE Transactions on Automation Science and Engineering
Year: 2024 | Volume: 21, Issue: 3 | Journal Article |
Cited by: Papers (1)
Since the cyclostationarity in vibration signals is the key to judge the rotating machine health state, spectral harmonics-to-interference ratio (SHIR) has been used to construct single node feature learning network (SHIR-based blind deconvolution, BD-SHIR) to realize condition monitoring of machine. However, BD-SHIR still has several obvious limitations, including the need for prior fault informa...Show More

Multi-Node Feature Learning Network Based on Maximum Spectral Harmonics-to-Noise Ratio Deconvolution for Machine Condition Monitoring

Qiuyang Zhou;Cai Yi;Lei Yan;Chenguang Huang;Xinwu Song;Du Xu;Lu Zhou;Jianhui Lin

Year: 2024 | Volume: 21, Issue: 3 | Journal Article |

Multi-Objective Sparsity Maximum Mode De-Composition: A New Method for Rotating Machine Fault Diagnosis on High-Speed Train Axle Box

Qiuyang Zhou;Cai Yi;Lei Yan;Xinwu Song;Du Xu;Chenguang Huang;Lu Zhou;Jianhui Lin

IEEE Transactions on Vehicular Technology
Year: 2023 | Volume: 72, Issue: 10 | Journal Article |
Cited by: Papers (5)
Decomposition techniques generally have two limitations. First, for adaptive correlated kurtogram and variational mode decomposition, etc., the definition of the decomposition target has no direct relationship with the features of fault impacts, i.e., the decomposition is not guided by health indices used to characterize bearing faults, resulting in fault impacts cannot be completely separated fro...Show More

Multi-Objective Sparsity Maximum Mode De-Composition: A New Method for Rotating Machine Fault Diagnosis on High-Speed Train Axle Box

Qiuyang Zhou;Cai Yi;Lei Yan;Xinwu Song;Du Xu;Chenguang Huang;Lu Zhou;Jianhui Lin

Year: 2023 | Volume: 72, Issue: 10 | Journal Article |

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