Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Dehao Wu
Observed names:
D. Wu,
Dehao WU,
德浩 吴
Institution:
Central South University
Observed institutions:
Ministry of Education of the People's Republic of China,
Central South University,
Northumbria University,
Tsinghua University
ORCID:
0000-0003-0649-1085
Observed ORCID:
0000-0003-0649-1085
OpenAlex ID:
A5013692772
LSTMED: An uneven dynamic process monitoring method based on LSTM and Autoencoder neural network
2022
·
Wenfeng Deng
, Yuxuan Li
, et al.
·
Neural Networks
·
68
Probabilistic Stationary Subspace Analysis for Monitoring Nonstationary Industrial Processes With Uncertainty
2021
·
Dehao Wu
, Donghua Zhou
, et al.
·
IEEE Transactions on Industrial Informatics
·
62
Dynamic Stationary Subspace Analysis for Monitoring Nonstationary Dynamic Processes
2020
·
Dehao Wu
, Li Sheng
, et al.
·
Industrial & Engineering Chemistry Research
·
59
EaLDL: Element-Aware Lifelong Dictionary Learning for Multimode Process Monitoring
2023
·
Keke Huang
, Hengxing Zhu
, et al.
·
IEEE Transactions on Neural Networks and Learning Systems
·
48
Error-Triggered Adaptive Sparse Identification for Predictive Control and Its Application to Multiple Operating Conditions Processes
2023
·
Keke Huang
, Zui Tao
, et al.
·
IEEE Transactions on Neural Networks and Learning Systems
·
45
Multimode process monitoring based on fault dependent variable selection and moving window-negative log likelihood probability
2020
·
Dehao Wu
, Donghua Zhou
, et al.
·
Computers & Chemical Engineering
·
43
Autocorrelation Feature Analysis for Dynamic Process Monitoring of Thermal Power Plants
2022
·
Xin Ma
, Dehao Wu
, et al.
·
IEEE Transactions on Cybernetics
·
42
Output-Relevant Common Trend Analysis for KPI-Related Nonstationary Process Monitoring With Applications to Thermal Power Plants
2020
·
Dehao Wu
, Donghua Zhou
, et al.
·
IEEE Transactions on Industrial Informatics
·
40
Knowledge-Informed Neural Network for Nonlinear Model Predictive Control With Industrial Applications
2023
·
Keke Huang
, Yanwei Tang
, et al.
·
IEEE Transactions on Systems Man and Cybernetics Systems
·
29
Modified performance-enhanced PCA for incipient fault detection of dynamic industrial processes
2023
·
Hongquan Ji
, Qingsen Hou
, et al.
·
Journal of Process Control
·
25
Physical Informed Sparse Learning for Robust Modeling of Distributed Parameter System and Its Industrial Applications
2023
·
Keke Huang
, Shijun Tao
, et al.
·
IEEE Transactions on Automation Science and Engineering
·
25
Rotary Kiln Temperature Control Under Multiple Operating Conditions: an Error-Triggered Adaptive Model Predictive Control Solution
2023
·
Keke Huang
, Peng Wang
, et al.
·
IEEE Transactions on Control Systems Technology
·
24
Performance-Driven Component Selection in the Framework of PCA for Process Monitoring: A Dynamic Selection Approach
2021
·
Dehao Wu
, Donghua Zhou
, et al.
·
IEEE Transactions on Control Systems Technology
·
24
Fault Diagnosis of Complex Industrial Systems Based on Multi-Granularity Dictionary Learning and Its Application
2022
·
Zeyi Liu
, Dehao Wu
, et al.
·
IEEE Transactions on Automation Science and Engineering
·
22
Data-driven modeling and stability control for industrial zinc roaster and its edge controller implementation
2023
·
Xinyu Ying
, Dehao Wu
, et al.
·
Control Engineering Practice
·
21
Nonstationary Industrial Process Monitoring Based on Stationary Projective Dictionary Learning
2022
·
Keke Huang
, Li Zhang
, et al.
·
IEEE Transactions on Control Systems Technology
·
21
Indoor Non-directed Optical Wireless Communications Optimization of the Lambertian Order
2013
·
Z. Ghassemlooy
, D. Wu
, et al.
·
20
Global Information-Based Lifelong Dictionary Learning for Multimode Process Monitoring
2024
·
Zixuan Chen
, Keke Huang
, et al.
·
IEEE Transactions on Systems Man and Cybernetics Systems
·
18
Manifold embedding stationary subspace analysis for nonstationary process monitoring with industrial applications
2024
·
Chunhua Yang
, Zhihong Lin
, et al.
·
Journal of Process Control
·
18
Robust condition identification against label noise in industrial processes based on trusted connection dictionary learning
2024
·
Keke Huang
, Shijun Tao
, et al.
·
Reliability Engineering & System Safety
·
16
A transfer predictive control method based on inter-domain mapping learning with application to industrial roasting process
2022
·
Huiping Liang
, Chunhua Yang
, et al.
·
ISA Transactions
·
16
One Network Fits All: A Self-Organizing Fuzzy Neural Network Based Explicit Predictive Control Method for Multimode Process
2024
·
Keke Huang
, Xinyu Ying
, et al.
·
IEEE Transactions on Fuzzy Systems
·
15
Variable partition based parallel dictionary learning for linearity and nonlinearity coexisting dynamic process monitoring
2023
·
Chunhua Yang
, Jiaojiao Zhang
, et al.
·
Control Engineering Practice
·
14
Hybrid variable dictionary learning for monitoring continuous and discrete variables in manufacturing processes
2024
·
Junxian Li
, Keke Huang
, et al.
·
Control Engineering Practice
·
10
Adaptive Learning Control for DPS With Continually Emerging Operational Conditions
2024
·
Yunfeng Zhang
, Chunhua Yang
, et al.
·
IEEE Transactions on Automation Science and Engineering
·
10
Show more works
View as search
Works count:
67
Citation count:
837
H-index:
18
I10-index:
25
Year
Topic
Type