A Parallel Hybrid Neural Network With Integration of Spatial and Temporal Features for Remaining Useful Life Prediction in Prognostics-Reference-Cited by-同舟云学术

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A Parallel Hybrid Neural Network With Integration of Spatial and Temporal Features for Remaining Useful Life Prediction in Prognostics

Published:2023 Issue: Volume:72 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhang Jiusi¹^ORCID,Tian Jilun¹^ORCID,Li Minglei¹^ORCID,Leon Jose Ignaclo²^ORCID,Franquelo Leopoldo Garcia¹^ORCID,Luo Hao¹^ORCID,Yin Shen³^ORCID

Affiliation:

1. Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China

2. Department of Electronic Engineering, School of Engineers, University of Seville, Seville, Spain

3. Department of Mechanical and Industrial Engineering, Faculty of Engineering, Norwegian University of Science and Technology, Trondheim, Norway

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/09992207.pdf?arnumber=9992207

Reference55 articles.

1. Big data, dataism and measurement

2. Quality of Measurement Information in Decision-Making

3. From Measurement to Decision with the Analytic Hierarchy Process: Propagation of Uncertainty to Decision Outcome

4. Maintenance-Management in Light of Manufacturing 4.0

5. Applications and Modulation Methods for Modular Converters Enabling Unequal Cell Power Sharing: Carrier Variable-Angle Phase-displacement Modulation Methods

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