Yuri A. W. Shardt

30 papers A 1C 1Journal 26Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Latent Probabilistic Dynamic Embedding Supervised Deep Networks With Graph-Guiding for Soft Sensing in Industrial Process.
IEEE Trans Autom. Sci. Eng.
Zhengxuan Zhang, Xu Yang, Jian Huang, Yuri A. W. Shardt, Jiarui Cui, Qing Li
2026 J jnl
Sign-perturbed sums method for multivariate ARX systems.
Autom.
Masanori Oshima, Sanghong Kim, Yuri A. W. Shardt, Ken-Ichiro Sotowa
2025 J jnl
Analysis of the effect of irrelevant information for the design of soft sensors.
Autom.
Xinrui Gao, Yuri A. W. Shardt
2025 J jnl
Graph-based predictable deep transfer network for soft sensing of dynamic industrial processes.
Knowl. Based Syst.
Zhengxuan Zhang, Xu Yang, Jian Huang, Yuri A. W. Shardt
2025 J jnl
In-depth exploration on dynamic-controlled principal component analysis: Algorithm properties and its applications in pattern control and optimisation.
J. Frankl. Inst.
Niannian Zheng, Yuri A. W. Shardt, Xiaoli Luan, Fei Liu
2025 J jnl
Quality-Driven Regularization for Deep Learning Networks and Its Application to Industrial Soft Sensors.
IEEE Trans. Neural Networks Learn. Syst.
Chen Ou, Hongqiu Zhu, Yuri A. W. Shardt, Lingjian Ye, Xiaofeng Yuan, Yalin Wang, Chunhua Yang
2024 C conf
A Compact Design for Soft Sensors Based on Information-Bottleneck Theory.
ACC
Xinrui Gao, Yuri A. W. Shardt, Jiarui Zhao
2024 A conf
A Stakeholder Analysis of Operational Design Domains of Automated Driving Systems.
DATE
Marcel Aguirre Mehlhorn, Hauke Dierend, Andreas Richter, Yuri A. W. Shardt
2024 J jnl
Dynamic-controlled principal component analysis for fault detection and automatic recovery.
Reliab. Eng. Syst. Saf.
Niannian Zheng, Xiaoli Luan, Yuri A. W. Shardt, Fei Liu
2024 J jnl
Missing-Data Imputation With Position-Encoding Denoising Autoencoders for Industrial Processes.
IEEE Trans. Instrum. Meas.
Chen Ou, Hongqiu Zhu, Yuri A. W. Shardt, Lingjian Ye, Xiaofeng Yuan, Yalin Wang, Chunhua Yang, Weihua Gui
2021 J jnl
A Just-In-Time-Learning-Aided Canonical Correlation Analysis Method for Multimode Process Monitoring and Fault Detection.
IEEE Trans. Ind. Electron.
Zhiwen Chen, Chang Liu, Steven X. Ding, Tao Peng, Chunhua Yang, Weihua Gui, Yuri A. W. Shardt
2021 J jnl
Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development.
IEEE Trans. Ind. Electron.
Xiaofeng Yuan, Lin Li, Yuri A. W. Shardt, Yalin Wang, Chunhua Yang
2021 J jnl
Graph neural network-based fault diagnosis: a review.
CoRR
Zhiwen Chen, Jiamin Xu, Cesare Alippi, Steven X. Ding, Yuri A. W. Shardt, Tao Peng, Chunhua Yang
2020 J jnl
A KPI-Based Soft Sensor Development Approach Incorporating Infrequent, Variable Time Delayed Measurements.
IEEE Trans. Control. Syst. Technol.
Xu Yang, Yue Zhang, Yuri A. W. Shardt, Xiaoli Li, Jiarui Cui, Chaonan Tong
2020 J jnl
Fault Classification in Dynamic Processes Using Multiclass Relevance Vector Machine and Slow Feature Analysis.
IEEE Access
Jian Huang, Xu Yang, Yuri A. W. Shardt, Xuefeng Yan
2019 J jnl
Cost-sensitive large margin distribution machine for fault detection of wind turbines.
Clust. Comput.
Mingzhu Tang, Steven X. Ding, Chunhua Yang, Fanyong Cheng, Yuri A. W. Shardt, Wen Long, Daifei Liu
2019 — conf
Optimization of Motion Control for a Variably Excited Linear Hybrid Stepper Motor.
ICM
Heiko Weiss, Yuri A. W. Shardt, Christoph Ament
2018 J jnl
A Comparison of Different Statistics for Detecting Multiplicative Faults in Multivariate Statistics-Based Fault Detection Approaches.
IEEE Access
Kai Zhang, Kaixiang Peng, Yuri A. W. Shardt
2018 J jnl
A KPI-Based Probabilistic Soft Sensor Development Approach that Maximizes the Coefficient of Determination.
Sensors
Yue Zhang, Xu Yang, Yuri A. W. Shardt, Jiarui Cui, Chaonan Tong
2018 J jnl
Simultaneous Robust, Decoupled Output Feedback Control for Multivariate Industrial Systems.
IEEE Access
Pengwei Li, Xu Yang, Yuri A. W. Shardt
2017 J jnl
Assessment of
J. Frankl. Inst.
Kai Zhang, Steven X. Ding, Yuri A. W. Shardt, Zhiwen Chen, Kaixiang Peng
2017 J jnl
Parameter Identification and Control Scheme for Monitoring Automatic Thickness Control System with Measurement Delay.
J. Control. Sci. Eng.
Xu Yang, Jingjing Gao, Yuri A. W. Shardt, Linlin Li, Chaonan Tong
2017 J jnl
Parameter-based conditions for closed-loop system identifiability of ARX models with routine operating data.
J. Frankl. Inst.
Yuri A. W. Shardt, Biao Huang
2017 J jnl
Self-Adaptive Artificial Bee Colony for Function Optimization.
J. Control. Sci. Eng.
Mingzhu Tang, Wen Long, Huawei Wu, Kang Zhang, Yuri A. W. Shardt
2016 — conf
A brief survey of different statistics for detecting multiplicative faults in multivariate statistical process monitoring.
CDC
Kai Zhang, Yuri A. W. Shardt, Zhiwen Chen, Steven X. Ding, Kaixiang Peng
2016 J jnl
An Adaptive, Advanced Control Strategy for KPI-Based Optimization of Industrial Processes.
IEEE Trans. Ind. Electron.
Shane Dominic, Yuri A. W. Shardt, Steven X. Ding, Hao Luo
2016 J jnl
Estimating the unknown time delay in chemical processes.
Eng. Appl. Artif. Intell.
Siamak Mehrkanoon, Yuri A. W. Shardt, Johan A. K. Suykens, Steven X. Ding
2015 J jnl
A New Soft-Sensor-Based Process Monitoring Scheme Incorporating Infrequent KPI Measurements.
IEEE Trans. Ind. Electron.
Yuri A. W. Shardt, Haiyang Hao, Steven X. Ding
2013 J jnl
Data quality assessment of routine operating data for process identification.
Comput. Chem. Eng.
Yuri A. W. Shardt, Biao Huang
2011 J jnl
Closed-loop identification condition for ARMAX models using routine operating data.
Autom.
Yuri A. W. Shardt, Biao Huang