Intelligent Maintenance Framework for Reconfigurable Manufacturing With Deep-Learning-Based Prognostics-Reference-Cited by-同舟云学术

Intelligent Maintenance Framework for Reconfigurable Manufacturing With Deep-Learning-Based Prognostics

Published:2024-07-01 Issue:13 Volume:11 Page:22853-22868
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Xia Tangbin¹^ORCID,Jiang Yimin²^ORCID,Ding Yutong²,Si Guojin²^ORCID,Wang Dong¹^ORCID,Pan Ershun²^ORCID,Xi Lifeng¹^ORCID

Affiliation:

1. State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, SJTU-Fraunhofer Center, Shanghai Jiao Tong University, Shanghai, China

2. Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China

Funder

National Key Research and Development Program of China

Natural Science Foundation of Shanghai

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10570342/10413211.pdf?arnumber=10413211

Reference31 articles.

1. Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0

2. IoT and Fog Computing based Predictive Maintenance Model for Effective Asset Management in Industry 4.0 using Machine Learning

3. Recent advances in prognostics and health management for advanced manufacturing paradigms

4. A Reconfigurable Method for Intelligent Manufacturing Based on Industrial Cloud and Edge Intelligence

5. Spatiotemporal denoising wavelet network for infrared thermography-based machine prognostics integrating ensemble uncertainty

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