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JL

Jie Liu

29

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enrico-zio

	Robust state-of-charge estimation of Li-ion batteries based on multichannel convolutional and bidirectional recurrent neural networks Chong Bian , Shunkun Yang , Jie Liu , Enrico Zio Applied Soft Computing, 2022, 116, ⟨10.1016/j.asoc.2021.108401⟩ Article dans une revue hal-04364354v1
	A method for fault diagnosis in evolving environment using unlabeled data Yang Hu , Piero Baraldi , Francesco Di Maio , Jie Liu , Enrico Zio Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2021, 235 (1), pp.33-49. ⟨10.1177/1748006X20946529⟩ Article dans une revue hal-03480160v1
	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-series data of NPP steam generators Hoang-Phuong Nguyen , Jie Liu , Enrico Zio Applied Soft Computing, 2020, 89, pp.106116. ⟨10.1016/j.asoc.2020.106116⟩ Article dans une revue hal-02470820v1
	Ensemble of Models for Fatigue Crack Growth Prognostics Hoang-Phuong Nguyen , Jie Liu , Enrico Zio IEEE Access, 2019, 7, pp.49527-49537. ⟨10.1109/ACCESS.2019.2910611⟩ Article dans une revue hal-02384619v1
	Integration of feature vector selection and support vector machine for classification of imbalanced data Jie Liu , Enrico Zio Applied Soft Computing, 2019, 75, pp.702-711 Article dans une revue hal-01962339v1
	Degradation state mining and identification for railway point machines Chong Bian , Shunkun Yang , Tingting Huang , Qingyang Xu , Jie Liu Reliability Engineering and System Safety, 2019, 188, pp.432-443. ⟨10.1016/j.ress.2019.03.044⟩ Article dans une revue hal-02428541v1
	A scalable fuzzy support vector machine for fault detection in transportation systems Jie Liu , Enrico Zio Expert Systems with Applications, 2018, 102, pp.36-43. ⟨10.1016/j.eswa.2018.02.017⟩ Article dans une revue hal-01786575v1
	Particle Filtering for Prognostics of a Newly Designed Product With a New Parameters Initialization Strategy Based on Reliability Test Data Jie Liu , Enrico Zio , Yang Hu IEEE Access, 2018, 6, pp.62564-62573. ⟨10.1109/access.2018.2876457⟩ Article dans une revue hal-01989200v1
	Dynamic-weighted ensemble for fatigue crack degradation state prediction Hoang-Phuong Nguyen , Jie Liu , Enrico Zio Engineering Fracture Mechanics, 2018, 194, pp.212-223. ⟨10.1016/j.engfracmech.2018.03.013⟩ Article dans une revue hal-01988976v1
	Prognostics of a multistack PEMFC system with multiagent modeling Jie Liu , Enrico Zio Energy Science & Engineering, 2018 Article dans une revue hal-01989177v1
	A SVM framework for fault detection of the braking system in a high speed train Jie Liu , Yan-Fu Li , Enrico Zio Mechanical Systems and Signal Processing, 2017, 87, pp.401 - 409. ⟨10.1016/j.ymssp.2016.10.034⟩ Article dans une revue hal-01408781v1
	Feature vector regression with efficient hyperparameters tuning and geometric interpretation Jie Liu , Enrico Zio Neurocomputing, 2016, 218, pp.411 - 422. ⟨10.1016/j.neucom.2016.08.093⟩ Article dans une revue hal-01408779v1
	SVM hyperparameters tuning for recursive multi-step-ahead prediction Jie Liu , Enrico Zio Neural Computing and Applications, 2016, 28 (12), pp.3749 - 3763. ⟨10.1007/s00521-016-2272-1⟩ Article dans une revue hal-01342889v1
	An adaptive online learning approach for Support Vector Regression: Online-SVR-FID Jie Liu , Enrico Zio Mechanical Systems and Signal Processing, 2016, 76-77, pp.796 - 809. ⟨10.1016/j.ymssp.2016.02.056⟩ Article dans une revue hal-01408776v1
	A SVR-based ensemble approach for drifting data streams with recurring patterns Jie Liu , Enrico Zio Applied Soft Computing, 2016, ⟨10.1016/j.asoc.2016.06.030⟩ Article dans une revue hal-01342890v1
	Prediction of peak values in time series data for prognostics of critical components in nuclear power plants Jie Liu , Enrico Zio IFAC-PapersOnLine, 2016, 49 (28), pp.174 - 178. ⟨10.1016/j.ifacol.2016.11.030⟩ Article dans une revue hal-01787969v1
	A Dynamic Weighted RBF-Based Ensemble for Prediction of Time Series Data from Nuclear Components Jie Liu , Valeria Vitelli , Enrico Zio , Redouane Seraoui International Journal of Prognostics and Health Management, 2015, pp.9 Article dans une revue hal-01176328v1
	A Novel Dynamic-Weighted Probabilistic Support Vector Regression-Based Ensemble for Prognostics of Time Series Data Jie Liu , Valeria Vitelli , Enrico Zio , Redouane Seraoui IEEE Transactions on Reliability, 2015, PP (99), pp.11. ⟨10.1109/TR.2015.2427156⟩ Article dans une revue hal-01176316v1
	Nuclear power plant components condition monitoring by probabilistic support vector machine Jie Liu , Redouane Seraoui , Valeria Vitelli , Enrico Zio Annals of Nuclear Energy, 2013, 56, pp.23-33 Article dans une revue hal-00790421v1

	KNN-FSVM for Fault Detection in High-Speed Trains Jie Liu , Enrico Zio 2018 IEEE International Conference on Prognostics and Health Management (ICPHM), 2018, Chongqing, China Communication dans un congrès hal-01989032v1
	Model ensemble-based prognostic framework for fatigue crack growth prediction Hoang-Phuong Nguyen , Enrico Zio , Jie Liu 2017 2nd International Conference on System Reliability and Safety (ICSRS), Dec 2017, Milan, Italy. ⟨10.1109/ICSRS.2017.8272843⟩ Communication dans un congrès hal-01784274v1
	Dynamic reliability assessment and prognostics with monitored data for multiple dependent degradation components J. Liu , E. Zio 26th European Safety and Reliability Conference, ESREL 2016, Sep 2016, unknown, France. pp.117 Communication dans un congrès hal-04365301v1
	A framework for asset prognostics from fleet data Jie Liu , Enrico Zio IEEE Prognostics and System Health Management Conference, Oct 2016, Chengdu, France. ⟨10.1109/PHM.2016.7819824⟩ Communication dans un congrès hal-01787966v1
	Adaptive Support Vector Regression for Long-Term Prediction under Nonstationay Environments: Prognostics of Components in Nuclear Power Plants Jie Liu , Enrico Zio 2015 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2015), Jul 2015, Beijing, China Communication dans un congrès hal-01176337v1
	Adaptive Support Vector Regression for Long-Term Prediction under Non stationary Environments: Prognostics of Components in Nuclear Power Plants Jie Liu , Enrico Zio 2015 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, Aug 2015, Beijing, China Communication dans un congrès hal-01787957v1
	AN EFFICIENT ONLINE LEARNING APPROACH FOR SUPPORT VECTOR REGRESSION Jie Liu , Valeria Vitelli , Redouane Seraoui , Enrico Zio second european conference of the prognostics and health management society 2014, Jul 2014, Nantes, France. ⟨10.1142/9789814619998_0032⟩ Communication dans un congrès hal-01090273v1
	Dynamic Weighted PSVR-Based Ensembles for Prognostics of Nuclear Components Jie Liu , Valeria Vitelli , Redouane Seraoui , Enrico Zio FLINS 2014, Aug 2014, João Pessoa, Brazil Communication dans un congrès hal-01108176v1
	Short-Term Prediction for Nuclear Power Plant Failure Scenarios Using an Ensemble-based Approach Jie Liu , Valeria Vitelli , Redouane Seraoui , Francesco Di Maio , Enrico Zio ESREL 2013, Sep 2013, Amsterdam, Netherlands. pp.1-5 Communication dans un congrès hal-00838785v1
	Probabilistic Support Vector Regression for Short-Term Prediction of Power Plants Equipment Jie Liu , Redouane Seraoui , Valeria Vitelli , Enrico Zio Prognostics and System Health Management Conference - PHM-2013, Sep 2013, Milano, Italy. pp.1-6 Communication dans un congrès hal-00838776v1