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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 ...
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 ...
Sensor data validation and fault diagnosis using Auto-Associative Neural Network for HVAC systems
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Elsevier Ltd
, 2020 , Article)
The Heating, Ventilation, and Air conditioning (HVAC) system is a major system in buildings for conditioning the indoor environment. Sensor data validation and fault diagnosis for HVAC systems are essentially important to ...
Model-Free Geometric Fault Detection and Isolation for Nonlinear Systems Using Koopman Operator
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
This paper presents a model-free fault detection and isolation (FDI) method for nonlinear dynamical systems using Koopman operator theory and linear geometric technique. The key idea is to obtain a Koopman-based reduced-order ...
Fault detection and isolation of two-dimensional (2D) systems
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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
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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 ...
Multiple-model sensor and components fault diagnosis in gas turbine engines using autoassociative neural networks
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American Society of Mechanical Engineers
, 2014 , Article)
In this paper the problem of fault diagnosis in an aircraft jet engine is investigated by using an intelligent-based methodology. The proposed fault detection and isolation (FDI) scheme is based on the multiple model ...
Fault-tolerant control of nonlinear heterogeneous multi-agent systems
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Elsevier Ltd
, 2021 , Article)
In this paper, time-varying loss of effectiveness and time-varying additive actuator faults in nonlinear heterogeneous multi-agent systems (MAS) are considered and an adaptive fault tolerant-control (FTC) scheme based on ...
Event-triggered robust fault diagnosis and control of linear Roesser systems: A unified framework
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Elsevier Ltd
, 2021 , Article)
In this paper, the problem of simultaneous robust fault detection and isolation and control in the presence of the stochastic, energy bounded, and peak bounded disturbances for linear Roesser systems through the network ...