FEMSN: Frequency-Enhanced Multiscale Network for fault diagnosis of rotating machinery under strong noise environments.
CoRR, May, 2025
A thermodynamics-informed deep learning approach for lightweight modeling of gas turbine performance.
Eng. Appl. Artif. Intell., 2025
An orbit-based encoder-forecaster deep learning method for condition monitoring of large turbomachines.
Expert Syst. Appl., March, 2024
A parallel and multi-scale probabilistic temporal convolutional neural networks for forecasting the key monitoring parameters of gas turbine.
Eng. Appl. Artif. Intell., 2024
Transfer condition assessment of gas turbines via double multi-task Gaussian process.
Adv. Eng. Informatics, 2024
Learning Multitask Gaussian Process Over Heterogeneous Input Domains.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023
Deep Latent-Variable Kernel Learning.
IEEE Trans. Cybern., 2022
Scalable multi-task Gaussian processes with neural embedding of coregionalization.
Knowl. Based Syst., 2022
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains.
CoRR, 2022
Toward Smart Condition Monitoring of Rotatory Machines: An Optimized Probabilistic Signal Reconstruction Methodology for Fault Prediction With Multisource Uncertainties.
IEEE Access, 2022
Modulating scalable Gaussian processes for expressive statistical learning.
Pattern Recognit., 2021
Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems.
CoRR, 2021
OrbitNet: A new CNN model for automatic fault diagnostics of turbomachines.
Appl. Soft Comput., 2021
Information Theory Based Probabilistic Approach to Blade Damage Detection of Turbomachine Using Sensor Data.
IEEE Trans. Ind. Electron., 2020
Bayesian inference method for stochastic damage accumulation modeling.
Reliab. Eng. Syst. Saf., 2013
Bayesian structural equation modeling method for hierarchical model validation.
Reliab. Eng. Syst. Saf., 2009
Discussion of "A Wavelet Network Model for Short-Term Traffic Volume Forecasting"by Yuanchang Xie and Yunlong Zhang.
J. Intell. Transp. Syst., 2008
Bayesian risk-based decision method for model validation under uncertainty.
Reliab. Eng. Syst. Saf., 2007
Clustering-Neural Network Models For Freeway Work Zone Capacity Estimation.
Int. J. Neural Syst., 2004
Fuzzy clustering approach for accurate embedding dimension identification in chaotic time series.
Integr. Comput. Aided Eng., 2003