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Predictive maintenance in the Industry 4.0: A systematic literature review
Computers and Industrial Engineering, 2020Tiago Zonta +2 more
exaly
A prognostic driven predictive maintenance framework based on Bayesian deep learning
Reliability Engineering and System Safety, 2023Liangliang Zhuang +2 more
exaly
Data mining in predictive maintenance systems: A taxonomy and systematic review
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2022Aurora Esteban +2 more
exaly
A deep learning predictive model for selective maintenance optimization
Reliability Engineering and System Safety, 2022Mustapha Nourelfath
exaly
2018
Industry 4.0 includes the connection of cybernetic and physical systems and the use of the Internet of things and services in all business and manufacturing processes of any company. According to recent research and studies, maintenance is one of the areas where significant effects of digitization and Industry 4.0 are expected. The results of the first
Brnadić, Tomislav +2 more
openaire +1 more source
Industry 4.0 includes the connection of cybernetic and physical systems and the use of the Internet of things and services in all business and manufacturing processes of any company. According to recent research and studies, maintenance is one of the areas where significant effects of digitization and Industry 4.0 are expected. The results of the first
Brnadić, Tomislav +2 more
openaire +1 more source
A new dynamic predictive maintenance framework using deep learning for failure prognostics
Reliability Engineering and System Safety, 2019Khanh T P Nguyen, Kamal Medjaher
exaly
Predictive Maintenance of Motors
Maintenance and Condition monitoring of motors have always been a pain for the motor operators and plants. With advancements in technology Predictive Maintenance has emerged as a key enabler for condition-based maintenance and motor health management in modern industrial and energy systems.openaire +1 more source

