Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform-Reference-Cited by-同舟云学术

Wave-ConvNeXt: An Efficient and Precise Fault Diagnosis Method for IIoT Leveraging Tailored ConvNeXt and Wavelet Transform

Published:2024-07-01 Issue:13 Volume:11 Page:23096-23109
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zhang Liangwei¹^ORCID,Lin Jing²^ORCID,Yang Zhe¹^ORCID,Shao Haidong³^ORCID,Liu Biyu⁴^ORCID,Li Chuan¹^ORCID

Affiliation:

1. Department of Industrial Engineering, Dongguan University of Technology, Dongguan, China

2. Division of Operation and Maintenance, Luleå University of Technology, Luleå, Sweden

3. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Changsha, China

4. School of Economics and Management, Fuzhou University, Fuzhou, China

Funder

Guangdong Basic and Applied Basic Research Foundation

Research Start-Up Funds of DGUT

National Natural Science Foundation of China

Dongguan Scitech Commissioner Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10570342/10496468.pdf?arnumber=10496468

Reference54 articles.

1. Industrial Internet of Things: A Systematic Literature Review and Insights

2. The Duo of Artificial Intelligence and Big Data for Industry 4.0: Applications, Techniques, Challenges, and Future Research Directions

3. Knowledge-Based Fault Diagnosis in Industrial Internet of Things: A Survey

4. KSPMI: A Knowledge-based System for Predictive Maintenance in Industry 4.0

5. Challenges and opportunities of deep learning-based process fault detection and diagnosis: a review