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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 ...
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 ...
Nonlinear fault diagnosis of jet engines by using a multiple model-based approach
(
ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition, GT2011
, 2011 , Conference Paper)
In this paper, a nonlinear fault detection and isolation (FDI) scheme that is based on the concept of multiple model (MM) approach is proposed for jet engines. A modular and a hierarchical architecture is proposed which ...
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 ...
Particle filtering for state and parameter estimation in gas turbine engine fault diagnostics
(
Institute of Electrical and Electronics Engineers Inc.
, 2013 , Conference Paper)
In this paper, a novel method for a time-varying parameter estimation technique using particle filters is proposed based on the concept of Recursive Prediction Error (RPE). According to the proposed method, a parallel ...
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 ...
A novel particle filter parameter prediction scheme for failure prognosis
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
Particle filters are well-known as powerful tools for accomplishing state and parameter estimation and their propagation prediction in nonlinear dynamical systems. Their ability to include system model parameters as part ...
Wavelet-based multiscale filtering of genomic data
(
IEEE Computer Society
, 2012 , Conference Paper)
Measured biological data are a rich source of information about the biological phenomena they represent. For example, time-series genomic or metabolic microarray data can be used to construct dynamic genetic regulatory ...
A support vector machine-based method for LPV-ARX identification with noisy scheduling parameters
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
In this paper, we present a method that utilizes support vector machines (SVM) to identify linear parameter-varying (LPV) auto-regressive exogenous input (ARX) models corrupted by not only noise, but also uncertainties in ...
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 ...