A semi-supervised method for digital twin-enabled predictive maintenance in the building industry

W Hu, Y Cai - Neural Computing and Applications, 2024 - Springer
The rapid booming of information and communication technologies (ICT) and artificial
intelligence has promoted the development of maintenance practices in the building industry …

Big Data Analytics to Identify Failures in Production Machines and Propose a Preventive Maintenance Plan

VH Cardoso, GC Oliveira Neto, FE Bezerra… - … Joint conference on …, 2023 - Springer
Data collection and analysis processes are increasingly important for both small businesses
and large global enterprises. Data analytics are essential for process control and for …

Digital twin and AI enabled predictive maintenance in building industry

W Hu - 2024 - dr.ntu.edu.sg
The rapid advancement of information and communication technologies (ICT) and artificial
intelligence (AI) has catalysed a significant shift in maintenance practices within the building …

[PDF][PDF] Enhancing Unplanned Maintenance Priorities Using Artificial Neural Networks: Case Study From Oman Oil & Gas Industry

K Alfahdi, H Gultekin, E Summad - 12th Annual International …, 2022 - ieomsociety.org
The energy sector is an exciting area of research and study due to the global demand for oil
and gas, improving and optimizing related costs and risks, essentially maximizing the …

[PDF][PDF] Big data analytical framework in managing maintenance management for government office buildings in Malaysia

AF Jamaludin - 2022 - eprints.utm.my
The government sector in Malaysia faces major challenges in managing maintenance data.
The development of technology and software for industry 4.0 has produced a vast volume of …