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Event-triggered fault detection and isolation for discrete-time linear systems
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Institution of Engineering and Technology
, 2016 , Article)
In this study, the problem of event-triggered fault detection and isolation (FDI) for discrete-time linear time invariant systems is considered. Using a Leunberger observer as the residual generator, a multi-objective ...
Event-triggered simultaneous fault detection and consensus control for linear multi-agent systems
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Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
This paper investigates the design and development of event-triggered simultaneous fault detection and consensus control (SFDCC) problem for a network of linear agents. Each agent is equipped with a distributed SFDCC unit ...
Event-triggered fault detection for discrete-time LPV systems
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Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
In this paper, a new event-triggering mechanism is proposed for the problem of fault detection (FD) in discrete-time linear parameter-varying (LPV) systems. A parameter-dependent event-based observer is designed as the ...
Sensor fault detection and isolation of an industrial gas turbine using partial block-wise adaptive kernel peA
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Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
In this paper, sensor fault detection and isolation of nonlinear time-varying dynamical systems is investigated based on a fast partial block-wise adaptive Kernel Principal Component Analysis (KPCA) scheme. Using the ...
Actuator fault detection and isolation of differential drive mobile robots using multiple model algorithm
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Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
An actuator fault detection and isolation (FDI) scheme is proposed in this paper for differential drive mobile robots based on the concept of multiple model approach. The nonlinear kinematic model of the mobile robot is ...
Sensor Fault Detection, Isolation, and Identification Using Multiple-Model-Based Hybrid Kalman Filter for Gas Turbine Engines
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Institute of Electrical and Electronics Engineers Inc.
, 2016 , Article)
In this paper, a novel sensor fault detection, isolation, and identification (FDII) strategy is proposed using the multiple-model (MM) approach. The scheme is based on multiple hybrid Kalman filters (MHKFs), which represents ...
Robust sensor fault detection and isolation of gas turbine engines subjected to time-varying parameter uncertainties
(
Academic Press
, 2016 , Article)
In this paper, a novel robust sensor fault detection and isolation (FDI) strategy using the multiple model-based (MM) approach is proposed that remains robust with respect to both time-varying parameter uncertainties and ...
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 ...
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 ...
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 ...