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2020 – today
- 2024
[j11]Longtao Guo
, Huakun Huang, Lingjun Zhao, Peiliang Wang, Shan Jiang, Chunhua Su:
Reentrancy vulnerability detection based on graph convolutional networks and expert patterns under subspace mapping. Comput. Secur. 142: 103894 (2024)- 2023
- [j10]Qiangguo Yu, Yanan Feng, Xu Huang, Peiliang Wang, Mengjia Zeng:
Direct Thrust Force Fault-Tolerant Control of Primary Permanent Magnet Linear Motor With Single DC-Link Current Sensor for Metro Application. IEEE Access 11: 22320-22328 (2023) - [j9]Zeyu Yang, Le Yao, Bingbing Shen, Peiliang Wang:
Probabilistic Fusion Model for Industrial Soft Sensing Based on Quality-Relevant Feature Clustering. IEEE Trans. Ind. Informatics 19(8): 9037-9047 (2023) - [c10]Zhengting Li, Peiliang Wang, Xiangyang Li:
Fault diagnosis of asynchronous motors based on 2DCNN-GRU network optimization. SAFEPROCESS 2023: 1-6 - [c9]Xiangyang Li, Peiliang Wang, Zhengting Li:
Fault Root Cause Diagnosis Method Based on BILSTM to Reconstruct Granger Causality. SAFEPROCESS 2023: 1-6 - [c8]Fanjun Lin, Peiliang Wang, Huiying Chen, Yanfeng Wang, Linfeng Chen, Feng Pan, Ganglei Tan:
Fault-Tolerant Control for Continuous Networked Markov Jump Systems Based on Observer. SAFEPROCESS 2023: 1-6 - [c7]Guanghui Zhu, Haojun Hou, Peiliang Wang, Chunfeng Yuan, Yihua Huang:
STSD: Modeling Spatial Temporal Staticity and Dynamicity in Traffic Forecasting. ICDM 2023: 1565-1570 - [c6]Longtao Guo, Huakun Huang, Sihun Xue, Peiliang Wang, Lingjun Zhao:
Reentrancy Vulnerability Detection Based on Graph Convolutional Networks and Expert Patterns. MCSoC 2023: 312-316 - 2022
- [j8]Yanfeng Wang, Yuqin Hou, Peiliang Wang:
Dynamic Event-Triggered Fault Detection for Discrete Networked Control System With Time-Delay. IEEE Access 10: 109108-109118 (2022) - 2021
- [j7]Jingyun Xu, Aigang Zhen, Zhiduan Cai, Peiliang Wang, Kaidi Gao, Dongming Jiang:
State of Health Diagnosis and Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Multi-Feature Data and Mechanism Fusion. IEEE Access 9: 85431-85441 (2021) - [c5]Kailiang Hu, Peiliang Wang, Gang Shen, Qiuyang Ye:
Fault Detection of Complex Process Based on Improved Kernel Entropy Component Analysis. CAA SAFEPROCESS 2021: 1-6 - [c4]Gang Shen, Peiliang Wang, Kailiang Hu, Qiuyang Ye:
Fault Root Cause Diagnosis Method Based on Recurrent Neural Network and Granger Causality. CAA SAFEPROCESS 2021: 1-6 - 2020
- [j6]Yuxiang Xu, Peiliang Wang, Zhiduan Cai, Yongfeng Jiang:
Improvement of the input performance of a three-phase-single-phase matrix converter based on space vector modulation. Int. J. Circuit Theory Appl. 48(4): 603-618 (2020)
2010 – 2019
- 2019
- [c3]Fan Liu, Peiliang Wang, Zhiduan Cai, Zhe Zhou, Yanfeng Wang, Zeyu Yang:
Batch Process Fault Diagnosis Based on The Combination of Deep Belief Network and Long Short-Term Memory Network. CAA SAFEPROCESS 2019: 208-214 - [c2]Yanfeng Wang, Peiliang Wang, Zuxin Li, Ttalbi Mohamed, Yuling Wang:
Fault-Tolerant Control for Networked Control Systems with Partly Unknown Transition Probabilities. CAA SAFEPROCESS 2019: 483-488 - 2018
- [j5]Xiaofeng Ye, Peiliang Wang, Zeyu Yang:
Time Sequential Phase Partition and Modeling Method for Fault Detection of Batch Processes. IEEE Access 6: 1249-1260 (2018) - 2017
- [j4]Yanfeng Wang, Peiliang Wang, Zuxin Li, Huiying Chen:
Observer-Based Controller Design for a Class of Nonlinear Networked Control Systems with Random Time-Delays Modeled by Markov Chains. J. Control. Sci. Eng. 2017: 1523825:1-1523825:13 (2017) - 2016
- [j3]Mengmeng Fu, Peiliang Wang:
基于K-PSO稀疏表示的故障分类方法研究 (Investigation on Fault Classification Method of K-PSO Sparse Representation). 计算机科学 43(12): 302-306 (2016) - 2015
- [j2]Xiaorui Guo, Peiliang Wang, Yanfeng Wang:
Simulation Analysis of Improved Construction and Control Strategy for Programmable AC Power Source. Int. J. Online Eng. 11(7): 41-46 (2015) - [j1]Wenjun Hu, Kup-Sze Choi, Peiliang Wang, Yunliang Jiang, Shitong Wang:
Convex nonnegative matrix factorization with manifold regularization. Neural Networks 63: 94-103 (2015) - 2013
- [c1]Peiliang Wang, Wuming He:
Progress of data-driven process monitoring for nonlinear and non-Gaussian industry process. ICIA 2013: 71-73
Coauthor Index
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