Applied machine learning model comparison: Predicting offshore platform integrity with gradient boosting algorithms and neural networks
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Graphical abstract
Keywords
Offshore platform
Remaining useful life prediction
Risk assessment
Machine learning
Gradient boosting
Artificial neural network
ANN
Artificial Neural Network
CV
Cross-validation
GBRT
Gradient Boosted Regression Tree
GoM
Gulf of Mexico
KNN
K-nearest neighbor
MAE
Mean absolute error
Metocean
Meteorological and oceanographic
ML
Machine learning
MSE
Mean squared error
PFI
Permutation Feature Importance
RFE
Recursive Feature Elimination
RMSE
Root mean squared error
RUL
Remaining useful life
SIM
Structural Integrity Management
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© 2021 The Authors. Published by Elsevier Ltd.