[HTML][HTML] The role of artificial intelligence-driven soft sensors in advanced sustainable process industries: A critical review

YS Perera, D Ratnaweera, CH Dasanayaka… - … Applications of Artificial …, 2023 - Elsevier
With the predicted depletion of natural resources and alarming environmental issues,
sustainable development has become a popular as well as a much-needed concept in …

[HTML][HTML] Industry 4.0: A technological-oriented definition based on bibliometric analysis and literature review

M Rupp, M Schneckenburger, M Merkel… - Journal of Open …, 2021 - Elsevier
ABSTRACT Industry 4.0 was introduced in 2011 and since then has been perceived in
multiple ways such as a vision, a paradigm, a scenario or as a digital revolution in …

IoT based real time energy monitoring system using Raspberry Pi

MD Mudaliar, N Sivakumar - Internet of Things, 2020 - Elsevier
An IoT based real time energy monitoring system for controlling and monitoring of a
switchgear industry is discussed in the present work. Raspberry Pi has been selected for this …

A novel energy optimization framework to enhance the performance of sensor nodes in Industry 4.0

S Sivakumar, J Logeshwaran… - Energy Science & …, 2024 - Wiley Online Library
Industry 4.0 is a term used to refer to the fourth industrial revolution, characterized by the
introduction of new technologies, such as the Internet of Things, Big Data, and artificial …

Design Concept of Information Control Systems for Green Manufacturing Industries with IoT-Based Energy Efficiency and Productivity

E Yandri, R Idroes, A Maulana… - Leuser Journal of …, 2023 - heca-analitika.com
Design concept of information control systems for green manufacturing industries with IoT-based
energy efficiency and productivi Page 1 Original Article Available online at www.heca-analitika.com/ljes …

A conceptual definition and future directions of urban smart factory for sustainable manufacturing

SMM Sajadieh, YH Son, SD Noh - Sustainability, 2022 - mdpi.com
Today, megatrends such as individualization, climate change, emissions, energy, and
resource scarcity, urbanization, and human well-being, impact almost every aspect of …

State estimators in soft sensing and sensor fusion for sustainable manufacturing

M McAfee, M Kariminejad, A Weinert, S Huq, JD Stigter… - Sustainability, 2022 - mdpi.com
State estimators, including observers and Bayesian filters, are a class of model-based
algorithms for estimating variables in a dynamical system given the sensor measurements of …

[HTML][HTML] Industrial Internet of Things enabled supply-side energy modelling for refined energy management in aluminium extrusions manufacturing

C Peng, T Peng, Y Liu, M Geissdoerfer, S Evans… - Journal of cleaner …, 2021 - Elsevier
To improve industrial sustainability performance in manufacturing, energy management and
optimisation are key levers. This is particularly true for aluminium extrusions manufacturing …

Quality control tools and digitalization of real-time data in sustainable manufacturing

AP Menon, V Lahoti, N Gunreddy, U Chadha… - International Journal on …, 2022 - Springer
This review deals with implementing technological advances in the manufacturing sector to
implement sustainability. Integrating automated control tools into conventional …

The role of Industry 4.0 technologies in manufacturing sustainability assessment

D Ramanujan, WZ Bernstein… - Journal of …, 2023 - asmedigitalcollection.asme.org
To understand the past successes and future opportunities for applying Industry 4.0
technologies toward manufacturing sustainability assessment, this state-of-the-art review …