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Yongheng Pang
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2020 – today
- 2024
- [j8]Aiyun Yan, Yuhang Zhao, Zhenlin Lu, Yongheng Pang, Shuowei Jin, Zhiliang Liu, Hongchao Xu, Huan He:
An Online Fault Detection and Remaining Life Prediction Method Based on SVDD for Rolling Bearings. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - 2022
- [j7]Shaoxin Sun, Ting Li, Yongheng Pang, Xingxing Hua:
Multiple delay-dependent event-triggered finite-time H∞ filtering for uncertain networked random systems against state and input constraints. Appl. Math. Comput. 415: 126711 (2022) - [j6]Dongsheng Yang, Jia Qin, Yongheng Pang, Tingwen Huang:
A Novel Double-Stacked Autoencoder for Power Transformers DGA Signals With An Imbalanced Data Structure. IEEE Trans. Ind. Electron. 69(2): 1977-1987 (2022) - 2021
- [j5]Shuowei Jin, Yongheng Pang, Xiaoming Zhou, Aiyun Yan, Wei Wang, Wenbo Hu:
Robust finite-Time control and reachable set estimation for uncertain switched neutral systems with time delays and input constraints. Appl. Math. Comput. 407: 126321 (2021) - [j4]Yongheng Pang, Xin Wang, Ting Li, Shuowei Jin, Shaoxin Sun:
Multiple delay-dependent finite-time boundedness and input-output finite-time mean square stabilization of uncertain semi-Markovian jump systems with input constraint. Neural Comput. Appl. 33(12): 6611-6626 (2021) - 2020
- [j3]Shuowei Jin, Aiyun Yan, Yongheng Pang, Bowen Zhou, Shaoxin Sun:
Robust Finite-Time H∞ Filtering for Uncertain Switched Systems With State Constraints and Multiple Time Delays. IEEE Access 8: 145457-145468 (2020) - [j2]Dongsheng Yang, Xiaoting Gao, Liang Kong, Yongheng Pang, Bowen Zhou:
An Event-Driven Convolutional Neural Architecture for Non-Intrusive Load Monitoring of Residential Appliance. IEEE Trans. Consumer Electron. 66(2): 173-182 (2020)
2010 – 2019
- 2019
- [j1]Dongsheng Yang, Yongheng Pang, Bowen Zhou, Kang Li:
Fault Diagnosis for Energy Internet Using Correlation Processing-Based Convolutional Neural Networks. IEEE Trans. Syst. Man Cybern. Syst. 49(8): 1739-1748 (2019) - [c2]Xueqing Ni, Dongsheng Yang, Yongheng Pang:
Weak Fault Diagnosis Method Based on SEGAN and KL Divergence for Industrial Equipment. SSCI 2019: 327-331 - 2018
- [c1]Hao Wang, Dongsheng Yang, Yongheng Pang, Ting Li, Bo Hu:
An Approach for Feature Extraction and Diagnosis of Motor Rotor Bearing Based on Convolution Neural Network. ICONIP (1) 2018: 284-296
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last updated on 2024-11-13 23:48 CET by the dblp team
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