Yuri A. W. Shardt
Orcid: 0000-0002-9311-7739
According to our database1,
Yuri A. W. Shardt
authored at least 24 papers
between 2011 and 2024.
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Bibliography
2024
Dynamic-controlled principal component analysis for fault detection and automatic recovery.
Reliab. Eng. Syst. Saf., January, 2024
Missing-Data Imputation With Position-Encoding Denoising Autoencoders for Industrial Processes.
IEEE Trans. Instrum. Meas., 2024
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
Proceedings of the American Control Conference, 2024
2021
Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development.
IEEE Trans. Ind. Electron., 2021
A Just-In-Time-Learning-Aided Canonical Correlation Analysis Method for Multimode Process Monitoring and Fault Detection.
IEEE Trans. Ind. Electron., 2021
2020
A KPI-Based Soft Sensor Development Approach Incorporating Infrequent, Variable Time Delayed Measurements.
IEEE Trans. Control. Syst. Technol., 2020
Fault Classification in Dynamic Processes Using Multiclass Relevance Vector Machine and Slow Feature Analysis.
IEEE Access, 2020
2019
Cost-sensitive large margin distribution machine for fault detection of wind turbines.
Clust. Comput., 2019
Proceedings of the IEEE International Conference on Mechatronics, 2019
2018
A KPI-Based Probabilistic Soft Sensor Development Approach that Maximizes the Coefficient of Determination.
Sensors, 2018
A Comparison of Different Statistics for Detecting Multiplicative Faults in Multivariate Statistics-Based Fault Detection Approaches.
IEEE Access, 2018
Simultaneous Robust, Decoupled Output Feedback Control for Multivariate Industrial Systems.
IEEE Access, 2018
2017
Parameter Identification and Control Scheme for Monitoring Automatic Thickness Control System with Measurement Delay.
J. Control. Sci. Eng., 2017
J. Control. Sci. Eng., 2017
Assessment of <i>T</i><sup>2</sup>- and <i>Q</i>-statistics for detecting additive and multiplicative faults in multivariate statistical process monitoring.
J. Frankl. Inst., 2017
Parameter-based conditions for closed-loop system identifiability of ARX models with routine operating data.
J. Frankl. Inst., 2017
2016
An Adaptive, Advanced Control Strategy for KPI-Based Optimization of Industrial Processes.
IEEE Trans. Ind. Electron., 2016
Eng. Appl. Artif. Intell., 2016
A brief survey of different statistics for detecting multiplicative faults in multivariate statistical process monitoring.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
A New Soft-Sensor-Based Process Monitoring Scheme Incorporating Infrequent KPI Measurements.
IEEE Trans. Ind. Electron., 2015
2013
Comput. Chem. Eng., 2013
2011
Autom., 2011