Jie Liu

According to our database, Jie Liu authored at least 33 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fault detection in complex mechatronic systems by a hierarchical graph convolution attention network based on causal paths.

Shuwen Zheng, Chong Wang, Enrico Zio, Jie Liu

Reliab. Eng. Syst. Saf., March, 2024

Causality-Based PCA Methods for Condition Modeling of Mechatronic Systems.

Jie Liu, Yubo Xu, Yishu Chen

IEEE Trans. Ind. Informatics, February, 2024

2023

Common stochastic effects induced multivariate degradation process with temporal dependency in degradation characteristic and unit dimensions.

Xin Wu, Tingting Huang, Jie Liu

Reliab. Eng. Syst. Saf., November, 2023

Causal Graph Attention Network with Disentangled Representations for Complex Systems Fault Detection.

Jie Liu, Shuwen Zheng, Chong Wang

Reliab. Eng. Syst. Saf., July, 2023

Fault diagnosis for high-speed train braking system based on disentangled causal representation learning.

Chong Wang, Jie Liu

Expert Syst. J. Knowl. Eng., March, 2023

Deep adversarial learning system for fault diagnosis in fused deposition modeling with imbalanced data.

Longyan Tan, Tingting Huang, Jie Liu, Qian Li, Xin Wu

Comput. Ind. Eng., February, 2023

Spatio-temporal degradation modeling and remaining useful life prediction under multiple operating conditions based on attention mechanism and deep learning.

Dan Xu, Xiaoqi Xiao, Jie Liu, Shaobo Sui

Reliab. Eng. Syst. Saf., 2023

2022

Importance-SMOTE: a synthetic minority oversampling method for noisy imbalanced data.

Jie Liu

Soft Comput., 2022

Fault information mining with causal network for railway transportation system.

Jie Liu, Yubo Xu, Lisong Wang

Reliab. Eng. Syst. Saf., 2022

T-Friedman Test: A New Statistical Test for Multiple Comparison with an Adjustable Conservativeness Measure.

Jie Liu, Yubo Xu

Int. J. Comput. Intell. Syst., 2022

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

Appl. Soft Comput., 2022

2021

Fuzzy support vector machine for imbalanced data with borderline noise.

Jie Liu

Fuzzy Sets Syst., 2021

A minority oversampling approach for fault detection with heterogeneous imbalanced data.

Jie Liu

Expert Syst. Appl., 2021

High-speed train fault detection with unsupervised causality-based feature extraction methods.

Yubo Xu, Jie Liu

Adv. Eng. Informatics, 2021

An Efficient Anomaly Detection for High-Speed Train Braking System Using Broad Learning System.

Chong Wang, Jie Liu

IEEE Access, 2021

2020

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

Appl. Soft Comput., 2020

Rolling Bearing Fault Diagnosis Based on the Coherent Demodulation Model.

Yinghua Shao, Rui Kang, Jie Liu

IEEE Access, 2020

First-Order Uncertain Hidden Semi-Markov Process for Failure Prognostics With Scarce Data.

Jie Liu

IEEE Access, 2020

2019

Degradation state mining and identification for railway point machines.

Chong Bian, Shunkun Yang, Tingting Huang, Qingyang Xu, Jie Liu, Enrico Zio

Reliab. Eng. Syst. Saf., 2019

Integration of feature vector selection and support vector machine for classification of imbalanced data.

Jie Liu, Enrico Zio

Appl. Soft Comput., 2019

Ensemble of Models for Fatigue Crack Growth Prognostics.

Hoang-Phuong Nguyen, Jie Liu, Enrico Zio

IEEE Access, 2019

2018

A scalable fuzzy support vector machine for fault detection in transportation systems.

Jie Liu, Enrico Zio

Expert Syst. Appl., 2018

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

A Data-Driven Approach for Predicting the Remaining Useful Life of Steam Generators.

Hoang-Phuong Nguyen, William Fauriat, Enrico Zio, Jie Liu

Proceedings of the 3rd International Conference on System Reliability and Safety, 2018

KNN-FSVM for Fault Detection in High-Speed Trains.

Jie Liu, Enrico Zio

Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

A Bayesian Network Approach for Imbalanced Fault Detection in High Speed Rail Systems.

Yan-Fu Li, Jie Liu

Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

2017

Weighted-feature and cost-sensitive regression model for component continuous degradation assessment.

Jie Liu, Enrico Zio

Reliab. Eng. Syst. Saf., 2017

System dynamic reliability assessment and failure prognostics.

Jie Liu, Enrico Zio

Reliab. Eng. Syst. Saf., 2017

SVM hyperparameters tuning for recursive multi-step-ahead prediction.

Jie Liu, Enrico Zio

Neural Comput. Appl., 2017

Model ensemble-based prognostic framework for fatigue crack growth prediction.

Hoang-Phuong Nguyen, Enrico Zio, Jie Liu

Proceedings of the 2nd International Conference on System Reliability and Safety, 2017

2016

Feature vector regression with efficient hyperparameters tuning and geometric interpretation.

Jie Liu, Enrico Zio

Neurocomputing, 2016

A SVR-based ensemble approach for drifting data streams with recurring patterns.

Jie Liu, Enrico Zio

Appl. Soft Comput., 2016

2015

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 Trans. Reliab., 2015