Journal ArticleDOI
A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing
Dazhong Wu,Shaopeng Liu,Li Zhang,Janis P. Terpenny,Robert X. Gao,Thomas R. Kurfess,Judith Ann Guzzo +6 more
TLDR
A new computational framework that enables remote real-time sensing, monitoring, and scalable high performance computing for diagnosis and prognosis is introduced and a proof-of-concept prototype is developed to demonstrate how the framework can enable manufacturers to monitor machine health conditions and generate predictive analytics.About:
This article is published in Journal of Manufacturing Systems.The article was published on 2017-04-01. It has received 223 citations till now. The article focuses on the topics: Prognostics & Wireless sensor network.read more
Citations
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Journal ArticleDOI
Deep learning for smart manufacturing: Methods and applications
TL;DR: A comprehensive survey of commonly used deep learning algorithms and discusses their applications toward making manufacturing “smart”, including computational methods based on deep learning that aim to improve system performance in manufacturing.
Journal ArticleDOI
Data-driven smart manufacturing
TL;DR: The role of big data in supporting smart manufacturing is discussed, a historical perspective to data lifecycle in manufacturing is overviewed, and a conceptual framework proposed in the paper is proposed.
Journal ArticleDOI
A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs)
TL;DR: In this paper, the authors present features that are characteristic for SMEs and identify research gaps needed to be addressed to successfully support manufacturing SMEs in their progress towards Industry 4.0.
Journal ArticleDOI
Enabling technologies and tools for digital twin
TL;DR: 5-dimension digital twin model provides reference guidance for understanding and implementing digital twin, and the frequently-used enabling technologies and tools for digital twin are investigated and summarized to provide Technologies and tools references for the applications of digital twin in the future.
Journal ArticleDOI
Enabling technologies for fog computing in healthcare IoT systems
Ammar Awad Mutlag,Mohd Khanapi Abd Ghani,N. Arunkumar,Mazin Abed Mohammed,Mazin Abed Mohammed,Othman Mohd +5 more
TL;DR: A systematic literature review of the technologies for fog computing in the healthcare IoT systems field and analyzing the previous is presented, providing motivation, limitations faced by researchers, and suggestions proposed to analysts for improving this essential research field.
References
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Acoustic emission analysis for bearing condition monitoring
TL;DR: In this paper, an experimental test-rig was designed to allow seeded defects on the inner race, corrode and contaminated defect, and it was concluded that regardless of the rotational speed and high levels of background noise, simple acoustic emission parameters such as amplitude and AE counts provided an indication of bearing defect.
Book ChapterDOI
Distributed Resource Environment: A Cloud-Based Design Knowledge Service Paradigm
TL;DR: A cloud-based knowledge service environment is introduced, i.e., a distributed resource environment, which enables companies to utilize collective open innovation and rapid product development with reduced costs and thereby improve the performance of knowledge flow.