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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 ...
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 ...
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 ...
A sensor fault detection and isolation strategy by using a Dendritic Cell Algorithm
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
In this paper, an online sensor fault detection and isolation (FDI) scheme is proposed based on an emerging Artificial Immune System (AIS) algorithm, namely Dendritic Cell Algorithm (DCA). Our proposed methodology is ...
Fault detection and isolation of the wind turbine based on the real-valued negative selection algorithm
(
2013 7th IEEE GCC Conference and Exhibition, GCC 2013
, 2013 , Conference Paper)
This paper presents an immune-inspired approach for detecting and isolating faults in a wind turbine system. A negative selection algorithm (NSA) is proposed which is derived from a mechanism in vertebrate immune systems ...