Journal ArticleDOI
Non-linear adaptive fault detection filter
TLDR
In this article, a non-linear adaptive fault detection filter (NAFDF) is proposed to detect on-line and isolate the faults of a class of nonlinear systems arising from accidental jumps of the process parameters.Abstract:
A novel non-linear adaptive fault detection filter (NAFDF) is proposed. It can be used to detect on-line and isolate the faults of a class of non-linear systems arising from accidental jumps of the process parameters. The extended Kalman filter and weighted sum-squared residual method are first combined to delect the faults rapidly. A non-linear filter is then proposed and used for joint state and parameter estimation of the system, resulting in a series of parameters. Based on them, Bayes' decision algorithm is modified and used to isolate and classify the faults. An alternate initialization method is also presented, which makes it possible to detect and isolate the faults repeatedly. Finally, the effectiveness of the NAFDF is demonstrated by a simulation study.read more
Citations
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Journal ArticleDOI
Particle filtering based likelihood ratio approach to fault diagnosis in nonlinear stochastic systems
Ping Li,Visakan Kadirkamanathan +1 more
TL;DR: This paper presents the development of a particle filtering (PF) based method for fault detection and isolation in stochastic nonlinear dynamic systems by combining the likelihood ratio (LR) test with the PF scheme.
Journal ArticleDOI
3-D model-based vehicle tracking
TL;DR: An efficient pose refinement method to refine the vehicle's pose parameters is provided and an improved EKF is also proposed to track and to predict vehicle motion with a precise kinematics model.
Journal ArticleDOI
Particle filtering-based fault detection in non-linear stochastic systems
TL;DR: A novel particle filtering based approach to fault detection in non- linear stochastic systems is developed here and the effectiveness of this new method is demonstrated through Monte Carlo simulations and the detection performance is compared with that using the extended Kalman filter on a non-linear system.
Journal Article
Fast leak detection and location of gas pipelines based on an adaptive particle filter
Ming Liu,Shu Zang,Donghua Zhou +2 more
TL;DR: In this paper, an adaptive particle filter algorithm is proposed for leak detection and location of gas pipelines, in which the variance of the artificial noise can be adjusted adaptively, which can improve the speed and accuracy.
Journal ArticleDOI
A statistical method for the detection of power system faults
D.M. Gilbert,I.F. Morrison +1 more
TL;DR: In this article, an adaptive statistical estimator for the basis of detection and classification of power system faults is presented and the performance of this method is compared to more traditional fault detection algorithms.
References
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TL;DR: This paper surveys a number of methods for the detection of abrupt changes in stochastic dynamical systems, focusing on the class of linear systems, but the basic concepts carry over to other classes of systems.
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Process fault detection based on modeling and estimation methods-A survey
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Fault Diagnosis in Dynamic Systems via State Estimation - a Survey
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Journal ArticleDOI
Identification of a class of nonlinear state-space models using RPE techniques
W.-W. Zhou,Mogens Blanke +1 more
TL;DR: In this paper, the RPE (recursive prediction error) method in state-space form is developed in the nonlinear systems and extended to include the exact form of a nonlinearity.