A big data driven sustainable manufacturing framework for condition-based maintenance prediction
Smart manufacturing refers to a future-state of manufacturing and it can lead to remarkable
changes in all aspects of operations through minimizing energy and material usage while …
changes in all aspects of operations through minimizing energy and material usage while …
Predictive maintenance planning for industry 4.0 using machine learning for sustainable manufacturing
MH Abidi, MK Mohammed, H Alkhalefah - Sustainability, 2022 - mdpi.com
With the advent of the fourth industrial revolution, the application of artificial intelligence in
the manufacturing domain is becoming prevalent. Maintenance is one of the important …
the manufacturing domain is becoming prevalent. Maintenance is one of the important …
Big data analytics for predictive maintenance strategies
Maintenance aims to reduce and eliminate the number of failures occurred during
production as any breakdown of machine or equipment may lead to disruption for the supply …
production as any breakdown of machine or equipment may lead to disruption for the supply …
Data mining and machine learning for condition-based maintenance
Complex production systems may count thousands of parts and components, subjected to
multiple physical and logical connections and interdependencies. This level of complexity …
multiple physical and logical connections and interdependencies. This level of complexity …
Machine learning for predictive maintenance: A multiple classifier approach
GA Susto, A Schirru, S Pampuri… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
In this paper, a multiple classifier machine learning (ML) methodology for predictive
maintenance (PdM) is presented. PdM is a prominent strategy for dealing with maintenance …
maintenance (PdM) is presented. PdM is a prominent strategy for dealing with maintenance …
Condition‐based maintenance optimization using neural network‐based health condition prediction
B Wu, Z Tian, M Chen - Quality and Reliability Engineering …, 2013 - Wiley Online Library
Artificial neural network (ANN)‐based methods have been extensively investigated for
equipment health condition prediction. However, effective condition‐based maintenance …
equipment health condition prediction. However, effective condition‐based maintenance …
A systematic mapping of the advancing use of machine learning techniques for predictive maintenance in the manufacturing sector
The increasing availability of data, gathered by sensors and intelligent machines, is
changing the way decisions are made in the manufacturing sector. In particular, based on …
changing the way decisions are made in the manufacturing sector. In particular, based on …
Review, analysis and synthesis of prognostic-based decision support methods for condition based maintenance
In manufacturing enterprises, maintenance is a significant contributor to the total company's
cost. Condition based maintenance (CBM) relies on prognostic models and uses them to …
cost. Condition based maintenance (CBM) relies on prognostic models and uses them to …
Machine learning-based predictive maintenance: A cost-oriented model for implementation
E Florian, F Sgarbossa, I Zennaro - International Journal of Production …, 2021 - Elsevier
Abstract Predictive Maintenance (PdM) is a condition-based maintenance strategy (CBM)
that carries out maintenance action when needed, avoiding unnecessary preventive actions …
that carries out maintenance action when needed, avoiding unnecessary preventive actions …
[HTML][HTML] Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods
C Ferreira, G Gonçalves - Journal of Manufacturing Systems, 2022 - Elsevier
Abstract Approaches such as Cyber-Physical Systems (CPS), Internet of Things (IoT),
Internet of Services (IoS), and Data Analytics have built a new paradigm called Industry 4.0 …
Internet of Services (IoS), and Data Analytics have built a new paradigm called Industry 4.0 …