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A Plug-and-Play Monitoring and Control Architecture for Disturbance Compensation in Rolling Mills
In modern industrial processes, production quality, system performance, process reliability, and safety issues have received considerable attention. This paper proposes a plug-and-play (PnP)Expand
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A Data-Driven Computation Method for the Gap Metric and the Optimal Stability Margin
TLDR
Gap metric and stability margin have been proven as important model-based analysis tools for linear time-invariant (LTI) systems. Expand
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Online Monitoring System Design for Roll Eccentricity in Rolling Mills
TLDR
This paper deals with the parameter estimation and online monitoring of roll eccentricity in rolling mills. Expand
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Data-Driven Approach of KPI Monitoring and Prediction with Application to Wastewater Treatment Process
Abstract In this paper, a data-driven scheme of key performance indicator (KPI) monitoring, prediction and KPI related fault detection is applied to the wastewater treatment process (WWTP). By meansExpand
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Data-driven process monitoring and fault tolerant control in wind energy conversion system with hydraulic pitch system
Wind energy is one of the widely applied renewable energies in the world. Wind turbine as the main wind energy converter at present has very complex technical system containing a huge number ofExpand
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Introduction of SVM algorithms and recent applications about fault diagnosis and other aspects
TLDR
Support vector machine has obtained more and more attentions as a new method of machine learning based on statistic learning theory. Expand
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Real-Time Optimization of Automatic Control Systems With Application to BLDC Motor Test Rig
TLDR
We propose an alternative realization of Youla parameterization which allows the performance of the controlled systems to be improved without modifying or replacing the predesigned control systems, while the closed-loop stability is guaranteed. Expand
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Finite-time-convergent fault-tolerant control for dynamical systems and its experimental verification for DTS200 three-tank system
This study presents a fault-tolerant continuous super-twisting control algorithm for dynamical systems, subject to Lipshitzian and non-Lipshitzian bounded disturbances. The conditions of finite-timeExpand
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Data-Driven Multimode Fault Detection for Wind Energy Conversion Systems
Abstract In this paper a data-driven fault detection scheme for wind energy conversion system is proposed. The method uses the offline measurements of the wind turbine in a wide range of operatingExpand
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Application of randomized algorithms to assessment and design of observer-based fault detection systems
TLDR
This work is an attempt to establish a probabilistic framework for the assessment and design of observer-based fault detection systems. Expand
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