Xihui Liang
Orcid: 0000-0003-1192-1238
According to our database1,
Xihui Liang
authored at least 25 papers
between 2017 and 2023.
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Bibliography
2023
An optimizing maintenance policy for airborne redundant systems operating with faults by using Markov process and NSGA-II.
Reliab. Eng. Syst. Saf., August, 2023
A New Deep Tensor Autoencoder Network for Unsupervised Health Indicator Construction and Degradation State Evaluation of Metro Wheel.
IEEE Trans. Instrum. Meas., 2023
Self-Supervised Deep Tensor Domain-Adversarial Regression Adaptation for Online Remaining Useful Life Prediction Across Machines.
IEEE Trans. Instrum. Meas., 2023
Self-Supervised Deep Domain-Adversarial Regression Adaptation for Online Remaining Useful Life Prediction of Rolling Bearing Under Unknown Working Condition.
IEEE Trans. Ind. Informatics, 2023
IEEE CAA J. Autom. Sinica, 2023
Bearing fault detection and fault size estimation using an integrated PVDF transducer.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023
2022
Unsupervised Deep Multitask Anomaly Detection With Robust Alarm Strategy for Online Evaluation of Bearing Early Fault Occurrence.
IEEE Trans. Instrum. Meas., 2022
An Interpretable Deep Transfer Learning-Based Remaining Useful Life Prediction Approach for Bearings With Selective Degradation Knowledge Fusion.
IEEE Trans. Instrum. Meas., 2022
Adaptive Cost Function Ridge Estimation for Rolling Bearing Fault Diagnosis Under Variable Speed Conditions.
IEEE Trans. Instrum. Meas., 2022
Remaining Useful Life Early Prediction of Batteries Based on the Differential Voltage and Differential Capacity Curves.
IEEE Trans. Instrum. Meas., 2022
Reliab. Eng. Syst. Saf., 2022
Entropy, 2022
2021
A New Structured Domain Adversarial Neural Network for Transfer Fault Diagnosis of Rolling Bearings Under Different Working Conditions.
IEEE Trans. Instrum. Meas., 2021
Construction of Health Indicators for Rotating Machinery Using Deep Transfer Learning With Multiscale Feature Representation.
IEEE Trans. Instrum. Meas., 2021
A New Unsupervised Online Early Fault Detection Framework of Rolling Bearings Based on Granular Feature Forecasting.
IEEE Access, 2021
2020
A New Online Detection Approach for Rolling Bearing Incipient Fault via Self-Adaptive Deep Feature Matching.
IEEE Trans. Instrum. Meas., 2020
2018
An Integrated Prognostics Method for Failure Time Prediction of Gears Subject to the Surface Wear Failure Mode.
IEEE Trans. Reliab., 2018
A method based on refined composite multi-scale symbolic dynamic entropy and ISVM-BT for rotating machinery fault diagnosis.
Neurocomputing, 2018
The Entropy Algorithm and Its Variants in the Fault Diagnosis of Rotating Machinery: A Review.
IEEE Access, 2018
Online Bearing Fault Diagnosis using Support Vector Machine and Stacked Auto-Encoder.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018
Time series modeling of vibration signals from a gearbox under varying speed and load condition.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018
2017
Early Fault Diagnosis of Rotating Machinery by Combining Differential Rational Spline-Based LMD and K-L Divergence.
IEEE Trans. Instrum. Meas., 2017
Application of Bandwidth EMD and Adaptive Multiscale Morphology Analysis for Incipient Fault Diagnosis of Rolling Bearings.
IEEE Trans. Ind. Electron., 2017
Markov process based time limited dispatch analysis with constraints of both dispatch reliability and average safety levels.
Reliab. Eng. Syst. Saf., 2017
Effect of sliding friction on transient characteristics of a gear transmission under random loading.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017