[HTML][HTML] On predictive maintenance in industry 4.0: Overview, models, and challenges

M Achouch, M Dimitrova, K Ziane… - Applied Sciences, 2022 - mdpi.com
In the era of the fourth industrial revolution, several concepts have arisen in parallel with this
new revolution, such as predictive maintenance, which today plays a key role in sustainable …

Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review

J Leukel, J González, M Riekert - Journal of Manufacturing Systems, 2021 - Elsevier
Failure prediction is the task of forecasting whether a material system of interest will fail at a
specific point of time in the future. This task attains significance for strategies of industrial …

Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective

B Wang, P Zheng, Y Yin, A Shih, L Wang - Journal of Manufacturing …, 2022 - Elsevier
Advances in human-centric smart manufacturing (HSM) reflect a trend towards the
integration of human-in-the-loop with technologies, to address challenges of human …

[HTML][HTML] Digital twin and big data-driven sustainable smart manufacturing based on information management systems for energy-intensive industries

S Ma, W Ding, Y Liu, S Ren, H Yang - Applied energy, 2022 - Elsevier
Abstract Internet of Things (IoT) technology, which has made manufacturing processes more
smart, efficient and sustainable, has received increasing attention from the industry and …

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 …

[HTML][HTML] Intelligent manufacturing, green technological innovation and environmental pollution

Y Shen, X Zhang - Journal of Innovation & Knowledge, 2023 - Elsevier
Intelligent manufacturing offers opportunities for green technology innovation at a low cost,
helps eliminate outdated equipment, and improves pollution efficiency, which is essential for …

[HTML][HTML] Assessing the impact of big data analytics on decision-making processes, forecasting, and performance of a firm

S Chatterjee, R Chaudhuri, S Gupta, U Sivarajah… - … Forecasting and Social …, 2023 - Elsevier
There are various kinds of applications of BDA in the firms. Not many studies are there which
deal with the impact of BDA towards issues like forecasting, decision-making, as well as …

[HTML][HTML] Big data analytics and innovation in e-commerce: current insights and future directions

AA Alsmadi, A Shuhaiber, M Al-Okaily… - Journal of Financial …, 2023 - Springer
Big data analytics (BDA), as a new innovation tool, played an important role in helping
businesses to survive and thrive during great crises and mega disruptions like COVID-19 by …

IntelliSense technology in the new power systems

H Xie, M Jiang, D Zhang, HH Goh, T Ahmad… - … and Sustainable Energy …, 2023 - Elsevier
The energy and climate crises have accelerated the decarbonization of electric power
systems. An important part of this decarbonization process, along with the incorporation of …

[HTML][HTML] Accelerating the renewable energy sector through Industry 4.0: Optimization opportunities in the digital revolution

V Pandey, A Sircar, N Bist, K Solanki… - International Journal of …, 2023 - Elsevier
The fourth industrial revolution introduced the concept of Industry 4.0, which refers to the
digitalization of the modern world and the inclusion of digital industry in major industrial …