Yong-Ping Zhao
Orcid: 0000-0003-3310-1329
According to our database1,
Yong-Ping Zhao
authored at least 33 papers
between 2010 and 2025.
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Bibliography
2025
Multi-level and multi-scale cross attention network of wavelet packet transform for supersonic inlet unstart prediction.
Expert Syst. Appl., 2025
2024
The perceptron algorithm with uneven margins based transfer learning for turbofan engine fault detection.
Eng. Appl. Artif. Intell., January, 2024
A novel method for aero-engine time-series forecasting based on multi-resolution transformer.
Expert Syst. Appl., 2024
2023
Robust semi-supervised discriminant embedding method with soft label in kernel space.
Neural Comput. Appl., April, 2023
A novel inter-domain attention-based adversarial network for aero-engine partial unsupervised cross-domain fault diagnosis.
Eng. Appl. Artif. Intell., 2023
IEEE Access, 2023
Novel Transformer-Based Fusion Models for Aero-Engine Remaining Useful Life Estimation.
IEEE Access, 2023
2022
J. Syst. Control. Eng., 2022
Learning transfer feature representations for gas path fault diagnosis across gas turbine fleet.
Eng. Appl. Artif. Intell., 2022
2021
Eng. Appl. Artif. Intell., 2021
A novel neural network based on dynamic time warping and Kalman filter for real-time monitoring of supersonic inlet flow patterns.
Eng. Appl. Artif. Intell., 2021
2020
Eng. Appl. Artif. Intell., 2020
An improved weighted one class support vector machine for turboshaft engine fault detection.
Eng. Appl. Artif. Intell., 2020
Group reduced kernel extreme learning machine for fault diagnosis of aircraft engine.
Eng. Appl. Artif. Intell., 2020
2018
Neurocomputing, 2018
Sparse kernel minimum squared error using Householder transformation and givens rotation.
Appl. Intell., 2018
2017
A method of combining forward with backward greedy algorithms for sparse approximation to KMSE.
Soft Comput., 2017
Neurocomputing, 2017
2016
Neural Networks, 2016
Improvements on parsimonious extreme learning machine using recursive orthogonal least squares.
Neurocomputing, 2016
2015
A pruning method of refining recursive reduced least squares support vector regression.
Inf. Sci., 2015
Parsimonious regularized extreme learning machine based on orthogonal transformation.
Neurocomputing, 2015
Neurocomputing, 2015
Neurocomputing, 2015
2014
2013
2012
Neurocomputing, 2012
2011
Expert Syst. Appl., 2011
2010
Reducing samples for accelerating multikernel semiparametric support vector regression.
Expert Syst. Appl., 2010