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ORCIDFeiyu Lu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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- Feiyu Lu 0001
![[0000-0002-1939-9352]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-1939-9352")
— Dolby Laboratories, USA (and 1 more)
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2020 – today
- 2024
[j10]Feiyu Lu, Qingbin Tong, Jianjun Xu, Ziwei Feng, Xin Wang, Jingyi Huo, Qingzhu Wan:
Towards multi-scene learning: A novel cross-domain adaptation model based on sparse filter for traction motor bearing fault diagnosis in high-speed EMU. Adv. Eng. Informatics 60: 102536 (2024)- [j9]Feiyu Lu, Qingbin Tong, Xuedong Jiang, Shouxin Du, Jianjun Xu, Jingyi Huo, Ziheng Zhang:
Envelope spectrum neural network with adaptive domain weight harmonization for intelligent bearing fault diagnosis under cross-machine scenarios. Adv. Eng. Informatics 62: 102787 (2024) - [j8]Feiyu Lu, Qingbin Tong, Xuedong Jiang, Ziwei Feng, Ruifang Liu, Jianjun Xu, Jingyi Huo:
DPICEN: Deep physical information consistency embedded network for bearing fault diagnosis under unknown domain. Reliab. Eng. Syst. Saf. 252: 110454 (2024) - [j7]Ziwei Feng, Qingbin Tong, Xuedong Jiang, Feiyu Lu, Xin Du, Jianjun Xu, Jingyi Huo:
Deep Reconstruction Transfer Convolutional Neural Network for Rolling Bearing Fault Diagnosis. Sensors 24(7): 2079 (2024) - [j6]Feiyu Lu, Qingbin Tong, Xuedong Jiang, Ziwei Feng, Jianjun Xu, Jingyi Huo:
Deep Multilayer Sparse Regularization Time- Varying Transfer Learning Networks With Dynamic Kullback-Leibler Divergence Weights for Mechanical Fault Diagnosis. IEEE Trans. Ind. Informatics 20(11): 13452-13462 (2024) - [d4]Dhruv Balwada, Ryan Abernathey, Shantanu Acharya, Alistair Adcroft, Judith Berner, Venkatramani Balaji, Mohamed Aziz Bhouri, Joan Bruna, Mitch Bushuk, William E. Chapman, Alex Connolly, Julie Deshayes, Carlos Fernandez-Granda, Pierre Gentine, Anastasiia Gorbunova, Will Gregory, Shubham Gupta, Arthur Guillaumin, Marika M. Holland, J. Emmanuel Johnsson, Julien Le Sommer, Zhiwei Li, Nora Loose, Feiyu Lu, Paul O'Gorman, Pavel Perezhogin, Brandon Reichl, Andrew Slavin Ross, Aakash Sane, Sara Shamekh, Tarun Verma, Janni Yuval, Lorenzo Zampieri, Cheng Zhang, Laure Zanna:
m2lines/L96_demo: v1.0.1. Version v1.0.1. Zenodo, 2024 [all versions]
- [d3]Dhruv Balwada, Ryan Abernathey, Shantanu Acharya, Alistair Adcroft, Judith Brenner, Venkatramani Balaji, Mohamed Aziz Bhouri, Joan Bruna, Mitch Bushuk, William E. Chapman, Alex Connolly, Julie Deshayes, Carlos Fernandez-Granda, Pierre Gentine, Anastasiia Gorbunova, Will Gregory, Arthur Guillaumin, Shubham Gupta, Marika M. Holland, J. Emmanuel Johnsson, Julien Le Sommer, Zhiwei Li, Nora Loose, Feiyu Lu, Paul O'Gorman, Pavel Perezhogin, Brandon Reichl, Andrew Slavin Ross, Aakash Sane, Sara Shamekh, Tarun Verma, Janni Yuval, Lorenzo Zampieri, Cheng Zhang, Laure Zanna:
m2lines/L96_demo: Final version for JOSE. Version v1.0.2. Zenodo, 2024 [all versions] - [d2]Dhruv Balwada, Ryan Abernathey, Shantanu Acharya, Alistair Adcroft, Judith Berner, Venkatramani Balaji, Mohamed Aziz Bhouri, Joan Bruna, Mitch Bushuk, William E. Chapman, Alex Connolly, Julie Deshayes, Carlos Fernandez-Granda, Pierre Gentine, Anastasiia Gorbunova, Will Gregory, Arthur Guillaumin, Shubham Gupta, Johanna Goldman, Marika M. Holland, J. Emmanuel Johnsson, Julien Le Sommer, Ziwei Li, Nora Loose, Feiyu Lu, Paul O'Gorman, Pavel Perezhogin, Brandon Reichl, Andrew Slavin Ross, Aakash Sane, Sara Shamekh, Tarun Verma, Janni Yuval, Lorenzo Zampieri, Cheng Zhang, Laure Zanna:
m2lines/L96_demo: Final version for JOSE with DOIs. Version v1.0.3. Zenodo, 2024 [all versions] - [d1]Dhruv Balwada, Ryan Abernathey, Shantanu Acharya, Alistair Adcroft, Judith Berner, Venkatramani Balaji, Mohamed Aziz Bhouri, Joan Bruna, Mitch Bushuk, William E. Chapman, Alex Connolly, Julie Deshayes, Carlos Fernandez-Granda, Pierre Gentine, Anastasiia Gorbunova, Will Gregory, Arthur P. Guillaumin, Shubham Gupta, Marika M. Holland, J. Emmanuel Johnsson, Julien Le Sommer, Ziwei Li, Nora Loose, Feiyu Lu, Paul O'Gorman, Pavel Perezhogin, Brandon Reichl, Andrew Slavin Ross, Aakash Sane, Sara Shamekh, Tarun Verma, Janni Yuval, Lorenzo Zampieri, Cheng Zhang, Laure Zanna:
Learning Machine Learning with Lorenz-96. Version 4. Zenodo, 2024 [all versions] - 2023
- [j5]Feiyu Lu, Qingbin Tong, Ziwei Feng, Qingzhu Wan:
Unbalanced Bearing Fault Diagnosis Under Various Speeds Based on Spectrum Alignment and Deep Transfer Convolution Neural Network. IEEE Trans. Ind. Informatics 19(7): 8295-8306 (2023) - 2022
- [j4]Qingbin Tong, Ziyu Liu, Feiyu Lu, Ziwei Feng, Qingzhu Wan:
A New De-Noising Method Based on Enhanced Time-Frequency Manifold and Kurtosis-Wavelet Dictionary for Rolling Bearing Fault Vibration Signal. Sensors 22(16): 6108 (2022) - 2020
- [j3]Zengqiang Ma, Feiyu Lu, Suyan Liu, Xin Li:
An Adaptive Generalized Demodulation Method for Multimedia Spectrum Analysis is Applied in Rolling Bearing Fault Diagnosis. IEEE Access 8: 20687-20699 (2020) - [j2]Xin Li, Zengqiang Ma, Suyan Liu, Feiyu Lu:
Fractional Synchrosqueezing Transformation and its Application in the Estimation of the Instantaneous Frequency of a Rolling Bearing. IEEE Access 8: 134084-134100 (2020) - [j1]Jingzhe Sun, Zhengyu Liu, Feiyu Lu, Weimin Zhang, Yuchu Zhao, Shaoqing Zhang:
Quantitatively Isolating Extratropical Atmospheric Impact on the Tropical Pacific Interannual Variability in Coupled Climate Model. IEEE Access 8: 163857-163867 (2020)
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