Segui
Jie Liu
Titolo
Citata da
Citata da
Anno
A SVM framework for fault detection of the braking system in a high speed train
J Liu, YF Li, E Zio
Mechanical Systems and Signal Processing 87, 401-409, 2017
1262017
Nuclear power plant components condition monitoring by probabilistic support vector machine
J Liu, R Seraoui, V Vitelli, E Zio
Annals of Nuclear Energy 56, 23-33, 2013
1002013
A long-term prediction approach based on long short-term memory neural networks with automatic parameter optimization by Tree-structured Parzen Estimator and applied to time …
HP Nguyen, J Liu, E Zio
Applied Soft Computing 89, 106116, 2020
962020
A novel dynamic-weighted probabilistic support vector regression-based ensemble for prognostics of time series data
J Liu, V Vitelli, E Zio, R Seraoui
IEEE Transactions on Reliability 64 (4), 1203-1213, 2015
782015
An adaptive online learning approach for Support Vector Regression: Online-SVR-FID
J Liu, E Zio
Mechanical Systems and Signal Processing 76, 796-809, 2016
632016
System dynamic reliability assessment and failure prognostics
J Liu, E Zio
Reliability Engineering & System Safety 160, 21-36, 2017
602017
Reinforcement learning-driven maintenance strategy: A novel solution for long-term aircraft maintenance decision optimization
Y Hu, X Miao, J Zhang, J Liu, E Pan
Computers & industrial engineering 153, 107056, 2021
522021
Integration of feature vector selection and support vector machine for classification of imbalanced data
J Liu, E Zio
Applied Soft Computing 75, 702-711, 2019
472019
A scalable fuzzy support vector machine for fault detection in transportation systems
J Liu, E Zio
Expert Systems with Applications 102, 36-43, 2018
472018
SVM hyperparameters tuning for recursive multi-step-ahead prediction
J Liu, E Zio
Neural Computing and Applications, 1-15, 2016
442016
Degradation state mining and identification for railway point machines
C Bian, S Yang, T Huang, Q Xu, J Liu, E Zio
Reliability Engineering & System Safety 188, 432-443, 2019
382019
Fuzzy support vector machine for imbalanced data with borderline noise
J Liu
Fuzzy Sets and Systems 413, 64-73, 2021
332021
A SVM-based framework for fault detection in high-speed trains
J Liu, Y Hu, S Yang
Measurement 172, 108779, 2021
322021
High-speed train fault detection with unsupervised causality-based feature extraction methods
Y Xu, J Liu
Advanced Engineering Informatics 49, 101312, 2021
292021
T-Friedman test: a new statistical test for multiple comparison with an adjustable conservativeness measure
J Liu, Y Xu
International Journal of Computational Intelligence Systems 15 (1), 29, 2022
222022
A modified generative adversarial network for fault diagnosis in high-speed train components with imbalanced and heterogeneous monitoring data
C Wang, J Liu, E Zio
Journal of Dynamics, Monitoring and Diagnostics, 84-92, 2022
212022
Importance-SMOTE: a synthetic minority oversampling method for noisy imbalanced data
J Liu
Soft Computing 26 (3), 1141-1163, 2022
202022
A SVR-based ensemble approach for drifting data streams with recurring patterns
J Liu, E Zio
Applied Soft Computing 47, 553-564, 2016
182016
A minority oversampling approach for fault detection with heterogeneous imbalanced data
J Liu
Expert Systems with Applications 184, 115492, 2021
172021
Fault information mining with causal network for railway transportation system
J Liu, Y Xu, L Wang
Reliability Engineering & System Safety 220, 108281, 2022
152022
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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