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Multiple sensor fault diagnosis for non-linear and dynamic system by evolving approach
(
2012 3rd Annual IEEE Prognostics and System Health Management Conference, PHM-2012
, 2012 , Conference Paper)
Reliability of sensor measurement is vital to assure the performance of complex and nonlinear industrial operation. In this paper, the problem of designing and development of a data-driven multiple sensor fault detection ...
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 kernel-based approach to MIMO LPV state-space identification and application to a nonlinear process system
(
Elsevier B.V.
, 2015 , Conference Paper)
This paper first describes the development of a nonparametric identification method for linear parameter-varying (LPV) state-space models and then applies it to a nonlinear process system. The proposed method uses kernel-based ...
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 ...
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 ...
Multiple-model based sensor fault diagnosis using hybrid kalman filter approach for nonlinear gas turbine engines
(
2013 1st American Control Conference, ACC 2013
, 2013 , Conference Paper)
In this paper, an efficient sensor fault detection and isolation (FDI) strategy is proposed based on multiple-model (MM) approach. The scheme is composed of hybrid kalman filters (HKF) by integrating a nonlinear gas turbine ...
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 ...
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 ...
An MPC approach for LPV systems in input-output form
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
In this paper, a discrete-time model predictive control (MPC) design approach is proposed to control systems described by linear parameter-varying (LPV) models in input-output form subject to constraints. To ensure stability ...