Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments

Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments

Abstract Industry 4.0 represents the fourth industrial revolution, which is characterized by the incorporation of digital technologies, the Internet of Things (IoT), artificial intelligence, big data, and other advanced technologies into industrial processes. Industrial Machinery Health Management (...

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Bibliographic Details
Main Authors: Ali Saeed, Muazzam A. Khan, Usman Akram, Waeal J. Obidallah, Soyiba Jawed, Awais Ahmad
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Intelligent fault diagnosis
Deep learning
Transfer learning
Industrial Internet of Things
Edge computing
Remaining useful life
Online Access:https://doi.org/10.1038/s41598-024-79151-2

Internet

https://doi.org/10.1038/s41598-024-79151-2

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