[HTML][HTML] Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability

M Javaid, A Haleem, RP Singh, R Suman… - Sustainable Operations …, 2022 - Elsevier
Industry 4.0 technologies provide critical perspectives for future innovation and business
growth. Technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big data …

Industry 4.0 technologies for manufacturing sustainability: A systematic review and future research directions

A Jamwal, R Agrawal, M Sharma, A Giallanza - Applied Sciences, 2021 - mdpi.com
Recent developments in manufacturing processes and automation have led to the new
industrial revolution termed “Industry 4.0”. Industry 4.0 can be considered as a broad domain …

[PDF][PDF] AI-Enhanced lifecycle assessment of renewable energy systems

KE Bassey, AR Juliet, AO Stephen - Engineering Science & …, 2024 - researchgate.net
Bassey, Juliet, & Stephen, P. No. 2082-2099 Page 2083 accuracy. Key findings demonstrate
that AI-enhanced LCA models significantly improve the precision and depth of …

[HTML][HTML] Condition monitoring using machine learning: A review of theory, applications, and recent advances

O Surucu, SA Gadsden, J Yawney - Expert Systems with Applications, 2023 - Elsevier
In modern industry, the quality of maintenance directly influences equipment's operational
uptime and efficiency. Hence, based on monitoring the condition of the machinery, predictive …

Predictive maintenance and intelligent sensors in smart factory

M Pech, J Vrchota, J Bednář - Sensors, 2021 - mdpi.com
With the arrival of new technologies in modern smart factories, automated predictive
maintenance is also related to production robotisation. Intelligent sensors make it possible to …

[HTML][HTML] Machine learning and artificial intelligence in CNC machine tools, a review

M Soori, B Arezoo, R Dastres - Sustainable Manufacturing and Service …, 2023 - Elsevier
Abstract Artificial Intelligence (AI) and Machine learning (ML) represents an important
evolution in computer science and data processing systems which can be used in order to …

[PDF][PDF] Machine learning for green hydrogen production

KE Bassey, C Ibegbulam - Computer Science & IT Research …, 2023 - researchgate.net
Green hydrogen, produced through the electrolysis of water using renewable energy
sources, is heralded as a cornerstone of the future sustainable energy landscape. Unlike …

[PDF][PDF] Hybrid renewable energy systems modeling

KE Bassey - Engineering Science & Technology Journal, 2023 - researchgate.net
Bassey, P. No. 571-588 Page 572 predictive capability allows for better planning and
optimization of energy storage solutions, ensuring that surplus energy generated during …

Identifying and prioritizing impediments of industry 4.0 to sustainable digital manufacturing: A mixed method approach

P Verma, V Kumar, T Daim, NK Sharma… - Journal of Cleaner …, 2022 - Elsevier
The impediments to Industry 4.0 adoption in sustainable production function as a roadblock
to the digital transformation of manufacturing companies. The study's goal is to look at the …

[HTML][HTML] Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework

F Psarommatis, G May, V Azamfirei - Journal of Manufacturing Systems, 2023 - Elsevier
To provide direction and advice for future research on Industry 4.0 maintenance, we
conducted a comprehensive analysis of 344 eligible journal papers published between …