Yong-Ping Zhao

About Yong-Ping Zhao

Yong-Ping Zhao, With an exceptional h-index of 20 and a recent h-index of 17 (since 2020), a distinguished researcher at Nanjing University of Science and Technology, specializes in the field of Pattern Recognition, Machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Novel Transfer Learning Based on Support Vector Data Description for Aeroengine Fault Detection

Gas Path Fault Diagnosis of Turboshaft Engine Based On Novel Transfer Learning Methods

The perceptron algorithm with uneven margins based transfer learning for turbofan engine fault detection

Identification of Supersonic Inlet Unstarted State and Optimal Sensor Configuration Based on EI-SPEA2

Real-time online unstart prediction of supersonic inlet based on pressure fluctuations

Aero-engine on-board model based on big Quick Access Recorder data

A rotating stall warning method for aero-engine compressor based on DeepESVDD-CNN

Long short-term memory neural network with scoring loss function for aero-engine remaining useful life estimation

Yong-Ping Zhao Information

University

Position

___

Citations(all)

1273

Citations(since 2020)

850

Cited By

964

hIndex(all)

20

hIndex(since 2020)

17

i10Index(all)

37

i10Index(since 2020)

24

Email

University Profile Page

Nanjing University of Science and Technology

Google Scholar

View Google Scholar Profile

Yong-Ping Zhao Skills & Research Interests

Pattern Recognition

Machine learning

Top articles of Yong-Ping Zhao

Title

Journal

Author(s)

Publication Date

Novel Transfer Learning Based on Support Vector Data Description for Aeroengine Fault Detection

Journal of Aerospace Engineering

Yong-Ping Zhao

Pei Peng

Yao-Bin Chen

Hui-Jie Jin

2024/5/1

Gas Path Fault Diagnosis of Turboshaft Engine Based On Novel Transfer Learning Methods

Journal of Dynamic Systems, Measurement, and Control

Yong-Ping Zhao

Hui-Jie Jin

Hao Liu

2024/2/27

The perceptron algorithm with uneven margins based transfer learning for turbofan engine fault detection

Engineering Applications of Artificial Intelligence

Yong-Ping Zhao

Wen Cai

2024/1/1

Identification of Supersonic Inlet Unstarted State and Optimal Sensor Configuration Based on EI-SPEA2

Journal of Aerospace Engineering

Yong-Ping Zhao

Tian-Lin Yang

Hui-Jun Tan

2023/3/1

Real-time online unstart prediction of supersonic inlet based on pressure fluctuations

Aerospace Science and Technology

Yu-Jie Wang

Yong-Ping Zhao

Huan Wu

Yi Jin

2023/9/1

Aero-engine on-board model based on big Quick Access Recorder data

Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

Li-Hua Ren

Zhi-Feng Ye

Ye Zhu

Zhan-Yan Xu

Yong-Ping Zhao

2023/3

A rotating stall warning method for aero-engine compressor based on DeepESVDD-CNN

Aerospace Science and Technology

Hui-Jie Jin

Yong-Ping Zhao

Zhi-Qiang Wang

2023/8/1

Long short-term memory neural network with scoring loss function for aero-engine remaining useful life estimation

Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

Li-Hua Ren

Zhi-Feng Ye

Yong-Ping Zhao

2023/3

A novel inter-domain attention-based adversarial network for aero-engine partial unsupervised cross-domain fault diagnosis

Engineering Applications of Artificial Intelligence

Yu-Qiang Wang

Yong-Ping Zhao

2023/8/1

Supersonic inlet flow recognition by hybrid-mutation non-dominated sorting genetic algorithm with support vector machines

Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

Tian-Lin Yang

Huan Wu

Yong-Ping Zhao

Hui-Jun Tan

2023/2

Robust semi-supervised discriminant embedding method with soft label in kernel space

Neural Computing and Applications

Pei Peng

Yong-Ping Zhao

2023/4

Remaining useful life estimation in prognostics using deep reinforcement learning

Ieee Access

Qiankun Hu

Yongping Zhao

Yuqiang Wang

Pei Peng

Lihua Ren

2023/3/29

Aero-engine acceleration control using deep reinforcement learning with phase-based reward function

Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

Qian-Kun Hu

Yong-Ping Zhao

2022/7

A turboshaft aeroengine fault detection method based on one-class support vector machine and transfer learning

Journal of Aerospace Engineering

Ye Zhu

Chenglie Du

Zhiqiang Liu

Yao-Bin Chen

Yong-Ping Zhao

2022/11/1

Learning transfer feature representations for gas path fault diagnosis across gas turbine fleet

Engineering Applications of Artificial Intelligence

Bing Li

Yong-Ping Zhao

Yao-Bin Chen

2022/5/1

Soft one-class extreme learning machine for turboshaft engine fault detection

Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

Yong-Ping Zhao

Gong Huang

2022/10

Joint discriminative learning and classification for monitoring flow patterns of supersonic inlet

Aerospace Science and Technology

Huan Wu

Yong-Ping Zhao

Hui-Jun Tan

2022/4/1

Simultaneous fault diagnosis for aircraft engine using multi-label learning

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering

Bing Li

Yong-Ping Zhao

2022/8

Extreme learning machine based transfer learning for aero engine fault diagnosis

Aerospace science and technology

Yong-Ping Zhao

Yao-Bin Chen

2022/2/1

An improved prognostics model with its application to the remaining useful life of turbofan engine

Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

Jia-Jun He

Yong-Ping Zhao

2022/8

See List of Professors in Yong-Ping Zhao University(Nanjing University of Science and Technology)