Digital twin for predictive maintenance
Digital twin engineering is a disruptive technology that creates a living data model of
industrial assets. The living model will continually adapt to changes in the environment or …
industrial assets. The living model will continually adapt to changes in the environment or …
Revolutionizing Data Centre Sustainability: The Role of Machine Learning in Energy Efficiency
K Patel, N Mehta, P Oza, J Thaker… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The escalating energy consumption within data centers presents a pressing challenge as
digital data and cloud computing continue to expand rapidly. Present article delves into the …
digital data and cloud computing continue to expand rapidly. Present article delves into the …
Utilizing Machine Learning Techniques for Enhanced Predictive Maintenance in the Manufacturing Sector
RN Wadibhasme, M Naresh, G Vikram… - 2024 2nd …, 2024 - ieeexplore.ieee.org
The contributions of machine learning algorithms to predictive maintenance systems, such
as classification, regression, and anomaly detection, are investigated to clarify their functions …
as classification, regression, and anomaly detection, are investigated to clarify their functions …