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Intelligent Predictive Maintenance System

2017
The machine learning techniques can be efficiently used for optimal maintenance decision making. Currently, most of the companies and manufactures possess huge amounts of sensor, process, and environment data. Combining the data with the information about the failures succeeds in creating useful train data sets for predictive maintenance purposes.
Mateusz Marzec   +3 more
openaire   +1 more source

Predictive Maintenance Architecture

2018 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2018
In industrial plants or any critical utility plants, the ultimate goal is to maximize the production quantity and quality but at the same time keeping the production cost as low as possible. To achieve this, it is mandatory to keep plants in fully efficient condition so that the throughput of the system is maximum.
Omkar Motaghare   +2 more
openaire   +1 more source

Predictive Maintenance

2021
S. Sharanya   +2 more
openaire   +2 more sources

Predictive maintenance for industrial robots

Industrial Robot: the international journal of robotics research and application
Purpose The purpose of this study is to provide an insight into the role of predictive maintenance in industrial robots. Design/methodology/approach Following a short introduction, this first discusses the three main maintenance strategies used on ...
openaire   +1 more source

Predictive maintenance for critical infrastructure

Expert Systems with Applications, 2022
Ariel Gorenstein, Meir Kalech
openaire   +1 more source

Predictive Maintenance

2023
Parikshit N. Mahalle   +2 more
openaire   +1 more source

Predictive maintenance using digital twins: A systematic literature review

Information and Software Technology, 2022
Raymon Van Dinter   +2 more
exaly  

Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics

Journal of Manufacturing Systems, 2020
Juan José Montero Jiménez   +2 more
exaly  

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