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Physics-Enhanced Graph Neural Networks For Soft Sensing in Industrial Internet of Things
April 15, 2024, 4:41 a.m. | Keivan Faghih Niresi, Hugo Bissig, Henri Baumann, Olga Fink
cs.LG updates on arXiv.org arxiv.org
Abstract: The Industrial Internet of Things (IIoT) is reshaping manufacturing, industrial processes, and infrastructure management. By fostering new levels of automation, efficiency, and predictive maintenance, IIoT is transforming traditional industries into intelligent, seamlessly interconnected ecosystems. However, achieving highly reliable IIoT can be hindered by factors such as the cost of installing large numbers of sensors, limitations in retrofitting existing systems with sensors, or harsh environmental conditions that may make sensor installation impractical. Soft (virtual) sensing leverages …
abstract arxiv automation cs.ai cs.lg ecosystems eess.sp efficiency graph graph neural networks however iiot industrial industrial internet of things industries infrastructure intelligent internet internet of things maintenance management manufacturing networks neural networks physics predictive predictive maintenance processes sensing type
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