[HTML][HTML] Industry 4.0 based process data analytics platform: A waste-to-energy plant case study

JC Kabugo, SL Jämsä-Jounela, R Schiemann… - International journal of …, 2020 - Elsevier
Abstract Industry 4.0 and Industrial Internet of Things (IIoT) technologies are rapidly fueling
data and software solutions driven digitalization in many fields notably in industrial …

An integrated framework for health state monitoring in a smart factory employing IoT and big data techniques

W Yu, Y Liu, T Dillon, W Rahayu… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the rapid growth in the use of various smart digital sensors, the Internet of Things (IoT)
is a swiftly growing technology, which has contributed significantly to Industry 4.0 and the …

Data-driven soft sensor development based on deep learning technique

C Shang, F Yang, D Huang, W Lyu - Journal of Process Control, 2014 - Elsevier
In industrial process control, some product qualities and key variables are always difficult to
measure online due to technical or economic limitations. As an effective solution, data …

A survey of internet of things and big data integrated solutions for industrie 4.0

K Al-Gumaei, K Schuba, A Friesen… - 2018 IEEE 23rd …, 2018 - ieeexplore.ieee.org
The industrial internet of things (IIoT) is growing at an exponential rate generating massive
amounts of industrial data. This data must be leveraged to support business and operational …

On paradigm of industrial big data analytics: From evolution to revolution

Z Yang, Z Ge - IEEE Transactions on Industrial Informatics, 2022 - ieeexplore.ieee.org
The arrival of the intelligent manufacturing and industrial internet era brings more and more
opportunities and challenges to modern industry. Specifically, the revolution of the …

Implementation of a large-scale platform for cyber-physical system real-time monitoring

M Canizo, A Conde, S Charramendieta, R Minon… - IEEE …, 2019 - ieeexplore.ieee.org
The emergence of Industry 4.0 and the Internet of Things (IoT) has meant that the
manufacturing industry has evolved from embedded systems to cyber-physical systems …

Big data analytics challenges to implementing the intelligent Industrial Internet of Things (IIoT) systems in sustainable manufacturing operations

Q Qi, Z Xu, P Rani - Technological Forecasting and Social Change, 2023 - Elsevier
The overlap of the growth of big data with that of the Internet of Things (IoT) is well reflected
by the dramatic surge in the use of devices connected to IoT and the exponential rise in data …

Cyber-physical systems in the context of industry 4.0: A review, categorization and outlook

SJ Oks, M Jalowski, M Lechner, S Mirschberger… - Information Systems …, 2022 - Springer
Cyber-physical systems (CPS) offer great potential for the digital transformation of industrial
value creation in the context of Industry 4.0. They unify and integrate several technological …

Data analytics in industry 4.0: A survey

L Duan, L Da Xu - Information Systems Frontiers, 2021 - Springer
Industry 4.0 is the fourth industrial revolution for decentralized production through shared
facilities to achieve on-demand manufacturing and resource efficiency. It evolves from …

Adaptive non-linear soft sensor for quality monitoring in refineries using Just-in-Time Learning—Generalized regression neural network approach

HK Mohanta, AK Pani - Applied Soft Computing, 2022 - Elsevier
Real time estimation of target quality variables using soft sensor relevant to time varying
process conditions will be a significant step forward in effective implementation of Industry …