NDLI: Non-parametric fault detection methods in non-linear systems

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Volume 10 (2016) : Issue 2, Mar

Volume 10 (2016) : Issue 1, Jan

IET Signal Processing

IET Wireless Sensor Systems

Micro & Nano Letters

The Journal of Engineering

Non-parametric fault detection methods in non-linear systems

Content Provider	IET Digital Library
Author	Kowsari, Elham Safarinejadian, Behrooz Zarei, Jafar
Abstract	In this study, two fault detection methods are proposed for non-linear systems. In these methods, Gaussian process (GP) is integrated into extended Kalman filter (EKF) and square root cubature Kalman filter (SCKF), which are called GP-EKF and GP-SCKF, respectively. The most important advantage of the proposed methods is that there is no need to know the accurate model of the system. Therefore, these methods are considered as non-parametric approaches of fault detection in non-linear systems. Moreover, by applying these methods, it is possible to detect the fault with high accuracy at early stage. First, GP-EKF and GP-SCKF are proposed for non-linear state estimation, and then GP-SCKF is compared with the GP-EKF and the results of this comparison prove the superiority of GP-SCKF regarding the complexity of computations and accuracy. In addition, simulation results show a good performance of GP-EKF and GP-SCKF in non-linear system's fault detection. To illustrate performance of these algorithms in state estimation and fault detection, they are used in aircraft tracking system. Both of the proposed methods are able to detect the sensors faults at early stage.
Starting Page	167
Ending Page	176
Page Count	10
ISSN	17518822
Volume Number	10
e-ISSN	17518830
Issue Number	Issue 3, May (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-smt/10/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-smt.2015.0010
Journal	IET Science, Measurement & Technology
Publisher Date	2016-05-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Aircraft Aircraft Tracking System EKF Extended Kalman Filter Fault Diagnosis Gaussian Process Gaussian Processes Kalman Filter Nonlinear Filter Nonlinear State Estimation System Nonparametric Fault Detection Method SCKF Sensing Device And Transducers Sensor Square Root Cubature Kalman Filter State Estimation Statistics
Content Type	Text
Resource Type	Article
Subject	Atomic and Molecular Physics, and Optics Electrical and Electronic Engineering

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