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Deep residual LSTM with domain-invariance for remaining useful life prediction across domains.

S. Fu, Y. Zhang, L. Lin, M. Zhao, and S. sheng Zhong. Reliab. Eng. Syst. Saf., (2021)

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Zhao Zhao

Yanning Zhao

Hertz-level ultra-stable laser and its application to high precision spectroscopyY. Zhao. Uni Erlangen-Nürnberg, (2009)

Su Zhao

Li Zhao

Ruoyao Zhao

Other publications of authors with the same name

Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes.M. Zhao, M. Kang, B. Tang, and M. Pecht. IEEE Trans. Ind. Electron., 65 (5): 4290-4300 (2018)Deep Residual Shrinkage Networks for Fault Diagnosis.M. Zhao, S. Zhong, X. Fu, B. Tang, and M. Pecht. IEEE Trans. Ind. Informatics, 16 (7): 4681-4690 (2020)MCA-DTCN: A novel dual-task temporal convolutional network with multi-channel attention for first prediction time detection and remaining useful life prediction.S. Fu, L. Lin, Y. Wang, F. Guo, M. Zhao, B. Zhong, and S. Zhong. Reliab. Eng. Syst. Saf., (January 2024)Highly imbalanced fault diagnosis of mechanical systems based on wavelet packet distortion and convolutional neural networks.M. Zhao, X. Fu, Y. Zhang, L. Meng, and B. Tang. Adv. Eng. Informatics, (2022)Highly imbalanced fault diagnosis of gas turbines via clustering-based downsampling and deep siamese self-attention network.D. Liu, S. Zhong, L. Lin, M. Zhao, X. Fu, and X. Liu. Adv. Eng. Informatics, (2022)Multiple Wavelet Coefficients Fusion in Deep Residual Networks for Fault Diagnosis.M. Zhao, M. Kang, B. Tang, and M. Pecht. IEEE Trans. Ind. Electron., 66 (6): 4696-4706 (2019)A hybrid attention-based multi-wavelet coefficient fusion method in RUL prognosis of rolling bearings.T. Zuo, K. Zhang, Q. Zheng, X. Li, Z. Li, G. Ding, and M. Zhao. Reliab. Eng. Syst. Saf., (September 2023)An Adaptive Symmetric Loss in Dynamic Wide-Kernel ResNet for Rotating Machinery Fault Diagnosis Under Noisy Labels.G. Qin, K. Zhang, X. Lai, Q. Zheng, G. Ding, M. Zhao, and Y. Zhang. IEEE Trans. Instrum. Meas., (2024)Deep residual LSTM with domain-invariance for remaining useful life prediction across domains.S. Fu, Y. Zhang, L. Lin, M. Zhao, and S. sheng Zhong. Reliab. Eng. Syst. Saf., (2021)A re-optimized deep auto-encoder for gas turbine unsupervised anomaly detection.S. Fu, S. Zhong, L. Lin, and M. Zhao. Eng. Appl. Artif. Intell., (2021)

BibSonomy

Disambiguation of "Zhao, Minghang"

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Deep residual LSTM with domain-invariance for remaining useful life prediction across domains.

Please choose a person to relate this publication to

Zhao Zhao

Yanning Zhao

Su Zhao

Li Zhao

Ruoyao Zhao

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhao, Minghang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep residual LSTM with domain-invariance for remaining useful life prediction across domains.

Please choose a person to relate this publication to

Zhao Zhao

Yanning Zhao

Su Zhao

Li Zhao

Ruoyao Zhao

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Deep residual LSTM with domain-invariance for remaining useful life prediction across domains.