[PDF][PDF] A survey of predictive maintenance: Systems, purposes and approaches

Y Ran, X Zhou, P Lin, Y Wen… - arxiv preprint arxiv …, 2019 - researchgate.net
This paper provides a comprehensive literature review on Predictive Maintenance (PdM)
with emphasis on system architectures, purposes and approaches. In industry, any outages …

Scheduling in cloud manufacturing: state-of-the-art and research challenges

Y Liu, L Wang, XV Wang, X Xu… - International Journal of …, 2019 - Taylor & Francis
For the past eight years, cloud manufacturing as a new manufacturing paradigm has
attracted a large amount of research interest worldwide. The aim of cloud manufacturing is to …

Digital twin shop-floor: a new shop-floor paradigm towards smart manufacturing

F Tao, M Zhang - IEEE access, 2017 - ieeexplore.ieee.org
With the developments and applications of the new information technologies, such as cloud
computing, Internet of Things, big data, and artificial intelligence, a smart manufacturing era …

Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints

MK Thompson, G Moroni, T Vaneker, G Fadel… - CIRP annals, 2016 - Elsevier
The past few decades have seen substantial growth in Additive Manufacturing (AM)
technologies. However, this growth has mainly been process-driven. The evolution of …

Industrial big data as a result of IoT adoption in manufacturing

D Mourtzis, E Vlachou, N Milas - Procedia cirp, 2016 - Elsevier
The radical evolution of internet into a network of interconnected objects that create a smart
environment is characterized by the term Internet of Things (IoT). The adoption of IoT in …

A cloud-based cyber-physical system for adaptive shop-floor scheduling and condition-based maintenance

D Mourtzis, E Vlachou - Journal of manufacturing systems, 2018 - Elsevier
Abstract Manufacturing, through the Industry 4.0 concept, is moving to the next phase; that of
digitalization. Industry 4.0 enables the transition of traditional manufacturing systems to …

Digital twin-driven online anomaly detection for an automation system based on edge intelligence

H Huang, L Yang, Y Wang, X Xu, Y Lu - Journal of Manufacturing Systems, 2021 - Elsevier
Accurate anomaly detection is critical to the early detection of potential failures of industrial
systems and proactive maintenance schedule management. There are some existing …

Real-time remote maintenance support based on augmented reality (AR)

D Mourtzis, V Siatras, J Angelopoulos - Applied Sciences, 2020 - mdpi.com
In the realm of the current industrial revolution, interesting innovations as well as new
techniques are constantly being introduced by offering fertile ground for further investigation …

Augmented reality application to support remote maintenance as a service in the robotics industry

D Mourtzis, V Zogopoulos, E Vlachou - Procedia Cirp, 2017 - Elsevier
Maintenance of manufactured products is among the most common services in industry and
its cost often exceed 30% of the operating costs. Modern manufacturing companies are …

Digitalizing supply chains potential benefits and impact on lean operations

A Haddud, A Khare - International Journal of Lean Six Sigma, 2020 - emerald.com
Purpose New technological trends continue to emerge, and businesses adopt them in
different capacity in a pursuit of improving current ways of doing things and to gain …