Real-time Data Analytics Edge Computing Application for Industry 4.0: The Mahalanobis-Taguchi Approach
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TL;DR: Volume 11 / No 3 / September 2020 / 146 156
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Abstract: Volume 11 / No 3 / September 2020 / 146 156
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Citations
Intelligent manufacturing systems
E.S. Meieran
- 04 Oct 1993
TL;DR: As manufacturing complexity increases, and as factory yields, equipment reliability and equipment utilization each approach 100%, one must look for alternative improvement programs to help reduce manufacturing costs and assist in managing increasing factory complexity.
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A Precondition of Sustainability: Industry 4.0 Readiness
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Industry 4.0 enabling technologies for increasing operational flexibility in final assembly
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Edge Computing Data Optimization for Smart Quality Management: Industry 5.0 Perspective
Bojana Bajić,Nikola Suzic,Slobodan Morača,Miladin Stefanovic,Miloš Jovičić,Aleksandar Rikalovic +5 more
TL;DR: In this paper , a conceptual model to promote Industry 5.0 from a social aspect by considering the knowledge, not only of experienced engineers, but also of workers who work on machines is presented.
Digital twin-enabled 3D printer fault detection for smart additive manufacturing
TL;DR: In this article , a Lightweight Convolutional Neural Network (LCNN) is proposed to detect faults from sensory data, which concatenates the CNN layer to extract additional features, improving the model's performance while maintaining a lightweight configuration suitable for real-time monitoring systems.
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