Tao Yan

Orcid: 0000-0002-3328-2118

Affiliations:
  • Xi'an Jiaotong University, Xi'an, China


According to our database1, Tao Yan authored at least 11 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2023
Machinery Health Prognostics With Multimodel Fusion Degradation Modeling.
IEEE Trans. Ind. Electron., November, 2023

Deep multisource parallel bilinear-fusion network for remaining useful life prediction of machinery.
Reliab. Eng. Syst. Saf., 2023

2021
Degradation modeling and remaining useful life prediction for dependent competing failure processes.
Reliab. Eng. Syst. Saf., 2021

Remaining useful life prediction based on a multi-sensor data fusion model.
Reliab. Eng. Syst. Saf., 2021

2020
Joint maintenance and spare parts inventory optimization for multi-unit systems considering imperfect maintenance actions.
Reliab. Eng. Syst. Saf., 2020

Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery.
Neurocomputing, 2020

2019
A Wiener-Process-Model-Based Method for Remaining Useful Life Prediction Considering Unit-to-Unit Variability.
IEEE Trans. Ind. Electron., 2019

Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data.
IEEE Trans. Ind. Electron., 2019

2018
Machinery health indicator construction based on convolutional neural networks considering trend burr.
Neurocomputing, 2018

Remaining Useful Life Prediction of Machinery Subjected to Two-Phase Degradation Process.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

2017
Remaining Useful Life Prediction Based on a General Expression of Stochastic Process Models.
IEEE Trans. Ind. Electron., 2017


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