TY - GEN
T1 - Machine learning and optimization for predictive maintenance based on predicting failure in the next five days
AU - Ouda, Eman
AU - Maalouf, Maher
AU - Sleptchenko, Andrei
N1 - Funding Information:
This publication is based upon work supported by the Khalifa University of Science and Technology under Award No. RC2 DSO.
Publisher Copyright:
Copyright © 2021 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved
PY - 2021
Y1 - 2021
N2 - This study proposes a framework to predict machine failures using sensor data and optimize predictive/corrective maintenance schedule. Using historical data, machine learning (ML) models are trained to predict the failure probabilities for the next five days. Multiple algorithms, including feature extraction techniques, selections, and ML models (both regression and classification based) are compared. The machine learning models' output is fed to an optimization model to propose an optimized maintenance policy, and we demonstrate how prediction models can help increase system reliability at lower costs.
AB - This study proposes a framework to predict machine failures using sensor data and optimize predictive/corrective maintenance schedule. Using historical data, machine learning (ML) models are trained to predict the failure probabilities for the next five days. Multiple algorithms, including feature extraction techniques, selections, and ML models (both regression and classification based) are compared. The machine learning models' output is fed to an optimization model to propose an optimized maintenance policy, and we demonstrate how prediction models can help increase system reliability at lower costs.
KW - Condition-based maintenance
KW - Machine learning
KW - Optimization
KW - Predictive maintenance
UR - http://www.scopus.com/inward/record.url?scp=85103815101&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85103815101
T3 - ICORES 2021 - Proceedings of the 10th International Conference on Operations Research and Enterprise Systems
SP - 192
EP - 199
BT - ICORES 2021 - Proceedings of the 10th International Conference on Operations Research and Enterprise Systems
A2 - Parlier, Greg H.
A2 - Liberatore, Federico
A2 - Demange, Marc
T2 - 10th International Conference on Operations Research and Enterprise Systems, ICORES 2021
Y2 - 4 February 2021 through 6 February 2021
ER -