Multiscale PatchTCN-Mixer: A New Method for Extracting Spatial and Temporal Degradation Information in Remaining Useful Life Prognosis-Reference-Cited by-同舟云学术

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Multiscale PatchTCN-Mixer: A New Method for Extracting Spatial and Temporal Degradation Information in Remaining Useful Life Prognosis

Published:2024-08-01 Issue:15 Volume:24 Page:23537-23550
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Yao Dechen¹^ORCID,Tang Bo¹^ORCID,Yang Jianwei¹^ORCID,Yue Wenbo¹^ORCID,Li Qiang²,Guo Shudong³

Affiliation:

1. School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China

2. Taian Quality and Technical Inspection and Testing Institute, Taian, China

3. Taian Quality and Special Equipment Inspection Institute, Taian, China

Funder

National Natural Science Foundation of China

Nature Science Foundation of Beijing, China

Postgraduate Innovation Program of Beijing University of Civil Engineering and Architecture

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10617804/10552659.pdf?arnumber=10552659

Reference39 articles.

1. IDSN: A one-stage interpretable and differentiable STFT domain adaptation network for traction motor of high-speed trains cross-machine diagnosis

2. Semi-supervised adversarial discriminative learning approach for intelligent fault diagnosis of wind turbine

3. Remaining Useful Life Prediction Method Based on the Spatiotemporal Graph and GCN Nested Parallel Route Model

4. Intelligent Framework for Bearing Fault Diagnosis in High-Noise Environments: A Location-Focused Soft Threshold Denoising Approach

5. Bayesian variational transformer: A generalizable model for rotating machinery fault diagnosis

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Patch ModernTCN-Mixer: a dual-task temporal convolutional network framework for hybrid implementation of first prediction time detection and remaining useful life prognosis;Measurement Science and Technology;2024-08-20

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