Predictive maintenance and intelligent sensors in smart factory
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 …
maintenance is also related to production robotisation. Intelligent sensors make it possible to …
Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time
S Ayvaz, K Alpay - Expert Systems with Applications, 2021 - Elsevier
In this study, a data driven predictive maintenance system was developed for production
lines in manufacturing. By utilizing the data generated from IoT sensors in real-time, the …
lines in manufacturing. By utilizing the data generated from IoT sensors in real-time, the …
A critical study of the existing issues in manufacturing maintenance systems: Can BIM fill the gap?
The use of smart and complicated technologies in manufacturing industries has brought new
issues to the maintenance systems in recent years. In this research, an intensive literature …
issues to the maintenance systems in recent years. In this research, an intensive literature …
A hybrid attention-based paralleled deep learning model for tool wear prediction
J Duan, X Zhang, T Shi - Expert Systems with Applications, 2023 - Elsevier
In modern manufacturing process, tool condition significantly affects work efficiency,
machinery downtime and operating profit. Convolutional neural network (CNN), recurrent …
machinery downtime and operating profit. Convolutional neural network (CNN), recurrent …
A bio-inspired LIDA cognitive-based Digital Twin architecture for unmanned maintenance of machine tools
Affected by COVID-19, the maintenance process of machine tools is significantly hindered,
while unmanned maintenance becomes an emerging trend in such background. So far …
while unmanned maintenance becomes an emerging trend in such background. So far …
Exploiting a knowledge hypergraph for modeling multi-nary relations in fault diagnosis reports
Abstract Knowledge graphs (KG) demonstrate superiority in storing and exploiting massive
data and lesson-learned knowledge collected from equipment operation and maintenance …
data and lesson-learned knowledge collected from equipment operation and maintenance …
A hybrid multi-stage methodology for remaining useful life prediction of control system: Subsea Christmas tree as a case study
With the improvement of control system composition and operation process complexity, the
uncertainty in its operation process increases and real-time observation data is difficult to …
uncertainty in its operation process increases and real-time observation data is difficult to …
A fuzzy ANP–DEMATEL model on faulty behavior risks: implications for improving safety in the workplace
K Karuppiah, B Sankaranarayanan… - International Journal of …, 2022 - Taylor & Francis
The occurrence of occupational accidents and injuries has always been a major concern for
industrial management. Such undesirable incidences are higher in developing countries …
industrial management. Such undesirable incidences are higher in developing countries …
Cobots implementation in the era of Industry 5.0 using modern business and management solutions
The paper describes the possibilities of implementing cobots for the execution of manual
tasks in human-cobot collaborative teams to reduce waste within manufacturing systems …
tasks in human-cobot collaborative teams to reduce waste within manufacturing systems …
[PDF][PDF] A data-driven predictive maintenance strategy based on accurate failure prognostics
Maintenance is fundamental to ensure the safety, reliability and availability of engineering
systems, and predictive maintenance is the leading one in maintenance technology. This …
systems, and predictive maintenance is the leading one in maintenance technology. This …