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Multiple-model sensor and components fault diagnosis in gas turbine engines using autoassociative neural networks
(
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 detection and isolation of Riesz spectral systems: A geometric approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
The Riesz spectral (RS) systems represent a large class of parabolic and hyperbolic partial differential equations (PDE) in infinite-dimensional systems. In this work, a fault detection and isolation (FDI) methodology 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 ...
Nonlinear fault diagnosis of jet engines by using a multiple model-based approach
(
ASME
, 2012 , Article)
In this paper, a nonlinear fault detection and isolation (FDI) scheme that is based on the concept of multiple model approach is proposed for jet engines. A modular and a hierarchical architecture is proposed which enables ...
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 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 ...
Robust cooperative control reconfiguration/recovery in multi-agent systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
In this paper, a reconfigurable control protocol for a linear multi-agent system seeking consensus in presence of actuator faults and saturations and environmental disturbances is investigated. Two controllers, namely the ...
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 ...
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 ...
Fast Fault Detection of Synchronous Generators
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
In this paper, the problem of the fast fault detection of synchronous generators is addressed. Toward this goal, a multi-objective optimization problem formulation based on the l1/H /H - performance criteria and the regional ...