The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge

Nowadays, the modern production machines are usually equipped with advanced sensors to collect the data which can be further analyzed because of the advent of Industry 4.0. This study proposes a novel deep learning (DL) information fusion-based framework collaborating convolutional neural network (C...

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Vydané v:	Journal of intelligent manufacturing Ročník 35; číslo 8; s. 4055 - 4069
Hlavný autor:	Dang, Jr-Fong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.12.2024 Springer Nature B.V
Predmet:	Advanced manufacturing technologies Algorithms Artificial neural networks Business and Management Control Data integration Deep learning Industry 4.0 Machine learning Machines Manufacturing Mechatronics Multisensor fusion Processes Production Robotics Sensors Supervised learning Unsupervised learning Deep learning Convolutional neural network Equipment health monitoring Subject matter expert
ISSN:	0956-5515, 1572-8145
On-line prístup:	Získať plný text
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