Manufacturing big data ecosystem: A systematic literature review

Y Cui, S Kara, KC Chan - Robotics and computer-integrated Manufacturing, 2020 - Elsevier
Advanced manufacturing is one of the core national strategies in the US (AMP), Germany
(Industry 4.0) and China (Made-in China 2025). The emergence of the concept of Cyber …

Manufacturing process data analysis pipelines: a requirements analysis and survey

A Ismail, HL Truong, W Kastner - Journal of Big Data, 2019 - Springer
Smart manufacturing is strongly correlated with the digitization of all manufacturing activities.
This increases the amount of data available to drive productivity and profit through data …

Performance analysis of IoT-based sensor, big data processing, and machine learning model for real-time monitoring system in automotive manufacturing

M Syafrudin, G Alfian, NL Fitriyani, J Rhee - Sensors, 2018 - mdpi.com
With the increase in the amount of data captured during the manufacturing process,
monitoring systems are becoming important factors in decision making for management …

Tool wear classification using time series imaging and deep learning

G Martínez-Arellano, G Terrazas, S Ratchev - The International Journal of …, 2019 - Springer
Tool condition monitoring (TCM) has become essential to achieve high-quality machining as
well as cost-effective production. Identification of the cutting tool state during machining …

Government big data ecosystem: definitions, types of data, actors, and roles and the impact in public administrations

SIH Shah, V Peristeras, I Magnisalis - ACM Journal of Data and …, 2021 - dl.acm.org
The public sector, private firms, business community, and civil society are generating data
that are high in volume, veracity, and velocity and come from a diversity of sources. This type …

Online tool wear classification during dry machining using real time cutting force measurements and a CNN approach

G Terrazas, G Martínez-Arellano, P Benardos… - … of Manufacturing and …, 2018 - mdpi.com
The new generation of ICT solutions applied to the monitoring, adaptation, simulation and
optimisation of factories are key enabling technologies for a new level of manufacturing …

A framework for designing data pipelines for manufacturing systems

O Oleghe, K Salonitis - Procedia CIRP, 2020 - Elsevier
Data pipelines describe the path through which big data is transmitted, stored, processed
and analyzed. Designing an appropriate data pipeline for a specific data driven …

Cutting process consideration in dynamic models of machine tool spindle units

Y Danylchenko, M Storchak, M Danylchenko… - Machines, 2023 - mdpi.com
Reducing the deviation effect from the specified machining conditions on the quality of the
process in real time is the desired result of the intelligent spindle control system. To …

A cloud-based framework for shop floor big data management and elastic computing analytics

G Terrazas, N Ferry, S Ratchev - Computers in Industry, 2019 - Elsevier
Advanced digitalization together with the rise of disruptive Internet technologies are key
enablers of a fundamental paradigm shift observed in industrial production. This is known as …

The role of big data analytics and AI in smart manufacturing: An overview

CA My - Research in Intelligent and Computing in Engineering …, 2021 - Springer
In recent years, smart manufacturing which is the core idea of the Fourth Industrial
Revolution (Industry 4.0) has gained increasing attention worldwide. Recent advancements …