Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects
O Serradilla, E Zugasti, J Rodriguez, U Zurutuza - Applied Intelligence, 2022 - Springer
Given the growing amount of industrial data in the 4th industrial revolution, deep learning
solutions have become popular for predictive maintenance (PdM) tasks, which involve …
solutions have become popular for predictive maintenance (PdM) tasks, which involve …
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 …
Transfer learning for remaining useful life prediction based on consensus self-organizing models
The traditional paradigm for developing machine prognostics usually relies on
generalization from data acquired in experiments under controlled conditions prior to …
generalization from data acquired in experiments under controlled conditions prior to …
Evaluating time series encoding techniques for predictive maintenance
Predictive Maintenance has become an important component in modern industrial
scenarios, as a way to minimize down-times and fault rate for different equipment. In this …
scenarios, as a way to minimize down-times and fault rate for different equipment. In this …
Remaining useful lifetime prediction for predictive maintenance in manufacturing
B Taşcı, A Omar, S Ayvaz - Computers & Industrial Engineering, 2023 - Elsevier
Traditional maintenance approaches often result in either premature replacement of
machine parts or downtime in production lines due to malfunctions. Consequently, these …
machine parts or downtime in production lines due to malfunctions. Consequently, these …
[HTML][HTML] A deep attention based approach for predictive maintenance applications in IoT scenarios
Purpose The recent innovations of Industry 4.0 have made it possible to easily collect data
related to a production environment. In this context, information about industrial equipment …
related to a production environment. In this context, information about industrial equipment …
Predictive maintenance for smart industrial systems: a roadmap
The advent of Industry 4.0 and propelled the application of Artificial Intelligence in different
industrial fields and contexts, such as predictive maintenance (PdM). Through its ability to …
industrial fields and contexts, such as predictive maintenance (PdM). Through its ability to …
Anonymous message authentication scheme for semitrusted edge-enabled IIoT
As internet of things and other technologies are widely used in industrial manufacturing,
automation and intelligence have witnessed rapid developments, resulting in the proposal of …
automation and intelligence have witnessed rapid developments, resulting in the proposal of …
[PDF][PDF] A hybrid of convolutional neural network and long short-term memory network approach to predictive maintenance
A Nasser, H Al-Khazraji - International Journal of Electrical and …, 2022 - academia.edu
Predictive maintenance (PdM) is a successful strategy used to reduce cost by minimizing the
breakdown stoppages and production loss. The massive amount of data that results from the …
breakdown stoppages and production loss. The massive amount of data that results from the …
Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge
O Serradilla, E Zugasti… - … Journal of Computer …, 2022 - Taylor & Francis
The 4th industrial revolution has connected machines and industrial plants, facilitating
process monitoring and the implementation of predictive maintenance (PdM) systems that …
process monitoring and the implementation of predictive maintenance (PdM) systems that …