Jie Liu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 27

Top Topics

Fault Detection

Top Venues

Reliab. Eng. Syst. Saf.

Appl. Soft Comput.

Publications

Jie Liu, Yubo Xu, Yishu Chen
Causality-Based PCA Methods for Condition Modeling of Mechatronic Systems. IEEE Trans. Ind. Informatics 20 (2) (2024)
Shuwen Zheng, Chong Wang, Enrico Zio, Jie Liu
Fault detection in complex mechatronic systems by a hierarchical graph convolution attention network based on causal paths. Reliab. Eng. Syst. Saf. 243 (2024)
Shuwen Zheng, Kai Pan, Jie Liu, Yunxia Chen
Empirical study on fine-tuning pre-trained large language models for fault diagnosis of complex systems. Reliab. Eng. Syst. Saf. 252 (2024)
Jie Liu, Shuwen Zheng, Chong Wang
Causal Graph Attention Network with Disentangled Representations for Complex Systems Fault Detection. Reliab. Eng. Syst. Saf. 235 (2023)
Chong Wang, Jie Liu
Fault diagnosis for high-speed train braking system based on disentangled causal representation learning. Expert Syst. J. Knowl. Eng. 40 (3) (2023)
Xin Wu, Tingting Huang, Jie Liu
Common stochastic effects induced multivariate degradation process with temporal dependency in degradation characteristic and unit dimensions. Reliab. Eng. Syst. Saf. 239 (2023)
Chong Bian, Shunkun Yang, Jie Liu, Enrico Zio
Robust state-of-charge estimation of Li-ion batteries based on multichannel convolutional and bidirectional recurrent neural networks. Appl. Soft Comput. 116 (2022)
Jie Liu
Importance-SMOTE: a synthetic minority oversampling method for noisy imbalanced data. Soft Comput. 26 (3) (2022)
Jie Liu, Yubo Xu
T-Friedman Test: A New Statistical Test for Multiple Comparison with an Adjustable Conservativeness Measure. Int. J. Comput. Intell. Syst. 15 (1) (2022)
Chong Wang, Jie Liu
An Efficient Anomaly Detection for High-Speed Train Braking System Using Broad Learning System. IEEE Access 9 (2021)
Jie Liu
First-Order Uncertain Hidden Semi-Markov Process for Failure Prognostics With Scarce Data. IEEE Access 8 (2020)
Hoang-Phuong Nguyen, Jie Liu, Enrico Zio
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. Appl. Soft Comput. 89 (2020)
Yinghua Shao, Rui Kang, Jie Liu
Rolling Bearing Fault Diagnosis Based on the Coherent Demodulation Model. IEEE Access 8 (2020)
Chong Bian, Shunkun Yang, Tingting Huang, Qingyang Xu, Jie Liu, Enrico Zio
Degradation state mining and identification for railway point machines. Reliab. Eng. Syst. Saf. 188 (2019)
Jie Liu, Enrico Zio
Integration of feature vector selection and support vector machine for classification of imbalanced data. Appl. Soft Comput. 75 (2019)
Hoang-Phuong Nguyen, Jie Liu, Enrico Zio
Ensemble of Models for Fatigue Crack Growth Prognostics. IEEE Access 7 (2019)
Hoang-Phuong Nguyen, William Fauriat, Enrico Zio, Jie Liu
A Data-Driven Approach for Predicting the Remaining Useful Life of Steam Generators. ICSRS (2018)
Jie Liu, Enrico Zio
KNN-FSVM for Fault Detection in High-Speed Trains. ICPHM (2018)
Jie Liu, Enrico Zio
A scalable fuzzy support vector machine for fault detection in transportation systems. Expert Syst. Appl. 102 (2018)
Jie Liu, Enrico Zio, Yang Hu
Particle Filtering for Prognostics of a Newly Designed Product With a New Parameters Initialization Strategy Based on Reliability Test Data. IEEE Access 6 (2018)
Jie Liu, Enrico Zio
System dynamic reliability assessment and failure prognostics. Reliab. Eng. Syst. Saf. 160 (2017)
Jie Liu, Enrico Zio
Weighted-feature and cost-sensitive regression model for component continuous degradation assessment. Reliab. Eng. Syst. Saf. 168 (2017)
Jie Liu, Enrico Zio
SVM hyperparameters tuning for recursive multi-step-ahead prediction. Neural Comput. Appl. 28 (12) (2017)
Hoang-Phuong Nguyen, Enrico Zio, Jie Liu
Model ensemble-based prognostic framework for fatigue crack growth prediction. ICSRS (2017)
Jie Liu, Enrico Zio
A SVR-based ensemble approach for drifting data streams with recurring patterns. Appl. Soft Comput. 47 (2016)
Jie Liu, Enrico Zio
Feature vector regression with efficient hyperparameters tuning and geometric interpretation. Neurocomputing 218 (2016)
Jie Liu, Valeria Vitelli, Enrico Zio, Redouane Seraoui
A Novel Dynamic-Weighted Probabilistic Support Vector Regression-Based Ensemble for Prognostics of Time Series Data. IEEE Trans. Reliab. 64 (4) (2015)