Electrical Engineering: Recent submissions
Now showing items 1321-1340 of 2646
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Sensor fault detection and isolation using multiple robust filters for linear systems with time-varying parameter uncertainty and error variance constraints
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)In this paper, a robust sensor fault detection and isolation (FDI) strategy is proposed by means of the multiple model (MM)-based scheme. The proposed approach is composed of robust Kalman filters (RKF) with error variance ... -
Health monitoring and degradation prognostics in gas turbine engines using dynamic neural networks
( American Society of Mechanical Engineers (ASME) , 2015 , Conference Paper)In this paper two artificially intelligent methodologies are proposed and developed for degradation prognosis and health monitoring of gas turbine engines. Our objective is to predict the degradation trends by studying ... -
Linear parameter-varying control of a copolymerization reactor
( Elsevier B.V. , 2015 , Conference Paper)This paper demonstrates the application of the linear parameter-varying (LPV) framework to control a copolymerization reactor. An LPV model representation is first developed for a nonlinear model of the process. The LPV ... -
Partial synchronization of biological neural networks and the anesthetic cascade
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)With the advances in biochemistry, molecular biology, and neurochemistry there has been impressive progress in understanding the molecular properties of anesthetic agents. However, there has been little focus on how the ... -
Transient gas turbine performance diagnostics through nonlinear adaptation of compressor and turbine maps
( American Society of Mechanical Engineers (ASME) , 2015 , Article)Gas turbines are faced with new challenges of increasing flexibility in their operation while reducing their life cycle costs, leading to new research priorities and challenges. One of these challenges involves the ... -
Sensor fault detection and isolation of an autonomous underwater vehicle using partial kernel PCA
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, partial kernel principal component analysis (PKPCA) is studied for sensor fault detection and isolation (FDI) of an autonomous underwater vehicle (AUV). Principal component analysis (PCA) is an effective ... -
A novel affine qLPV model derivation method for fault diagnosis H∞ performance improvement
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, a methodology for an affine quasilinear parameter varying (qLPV) model derivation is proposed. The nonlinear model of the system is converted into a qLPV model by hiding the nonlinearities in the scheduling ... -
Sensor fault detection and isolation of an industrial gas turbine using partial kernel PCA
( 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2015 , 2015 , Conference Paper)In this paper, partial kernel principal component analysis (PKPCA) is studied for sensor fault detection and isolation of an aeroderivative industrial gas turbine. Principal component analysis (PCA) is an effective tool ... -
Adaptive sliding mode observer for sensor fault diagnosis of an industrial gas turbine
( Elsevier Ltd , 2015 , Article)Sensors are one of the crucial components in gas turbines and the failure in sensor measurements can lead to serious problems in maintaining their safety and performance requirements. Our aim in this paper is to develop ... -
A hybrid prognosis and health monitoring strategy by integrating particle filters and neural networks for gas turbine engines
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, a novel hybrid structure is proposed for the development of health monitoring techniques of nonlinear systems by integration of model-based and computationally intelligent and data-driven techniques. In our ... -
Performance-based prognosis scheme for industrial gas turbines
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, we present a novel method for performance-based prognostics of industrial gas turbines. The concept of performance adaptation is implemented through a dynamic engine model that is developed in Matlab/Simulink ... -
Event-Triggered fault detection, isolation and control design of linear systems
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, the problem of event-Triggered integrated fault detection, isolation and control (E-IFDIC) for discrete-Time linear systems is considered. Using a filter to represent, characterize, and specify the E-IFDIC ... -
A Nonovershooting Controller with Integral Action for Multi-input Multi-output Drug Dosing Control ?
( Elsevier B.V. , 2018 , Conference Paper)In this paper, a nonovershooting tracking controller is proposed for the continuous infusion of multiple drugs that have interactive effects. The proposed controller design method exploits the freedom of eigenstructure ... -
Integrated fault diagnosis and control design of linear complex systems
( Institution of Engineering and Technology , 2018 , Book)As control systems become more complex and are expected to perform tasks in unknown and extreme environments, they may be subject to various types of faults in their sensors, actuators or other components. It is crucial ... -
A New Approach to Robust MPC Design for LPV Systems in Input-Output Form
( Elsevier B.V. , 2018 , Conference Paper)In this paper, a robust model predictive control (MPC) technique is introduced to control MIMO linear parameter-varying (LPV) systems subject to input-output constraints. The LPV system is represented in input-output form, ... -
Derivative-driven window-based regression method for gas turbine performance prognostics
( Elsevier Ltd , 2017 , Article)The domination of gas turbines in the energy arena is facing many challenges from environmental regulations and the plethora of renewable energy sources. The gas turbine has to operate under demand-driven modes and its ... -
Event-triggered fault detection for discrete-time linear systems
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper the problem of event-triggered fault detection filter for discrete-time linear systems is considered and a multi-objective formulation of the problem is presented based on H, H- and generalized H2 performance ... -
Fault detection and isolation of two-dimensional (2D) systems
( Elsevier B.V. , 2017 , Article)In this work, we develop a novel fault detection and isolation (FDI) scheme for discrete-time two-dimensional (2D) systems that are represented by the Fornasini?Marchesini model II (FMII). This is accomplished by generalizing ... -
Forecasting the health of gas turbine components through an integrated performance-based approach
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In this study, we present an integrated method for detecting and forecasting the health of gas turbine components as degraded over time. An advanced model-based real time performance adaptation approach is developed for ... -
Fault-tolerant control of multi-agent systems based on adaptive fault hiding framework
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)In this paper, a fault tolerant control (FTC) scheme for multi-agent systems subject to loss of effectiveness actuator faults is investigated. The main objective of the proposed FTC approach is to keep the performance of ...