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Sensors 2014, 14(10), 19138-19161; doi:10.3390/s141019138

Robust Model-Based Sensor Fault Monitoring System for Nonlinear Systems in Sensor Networks

Department of Control Science and Engineering, School of Communication Engineering, Jilin University, Changchun 130025, China
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Received: 14 July 2014 / Revised: 2 September 2014 / Accepted: 23 September 2014 / Published: 15 October 2014
(This article belongs to the Section Sensor Networks)
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Abstract

A new model-based sensor fault diagnosis (FD) scheme, using an equivalent model, is developed for a kind of Multiple Inputs Multiple Outputs (MIMO) nonlinear system which fulfills the Lipschitz condition. The equivalent model, which is a bank of one-dimensional linear state equations with the bounded model uncertainty, can take the place of a plant’s exact nonlinear model in the case of sensor FD. This scheme shows a new perspective whereby, by using the equivalent model, it doesn’t have to study the nonlinear internal structure character or get the exact model. The influence of the model uncertainty on the residuals is explained in this paper. A method, called pretreatment, is utilized to minimize the model uncertainty. The eigenstructure assignment method with assistant state is employed to solve the problem of perfect decoupling against the model uncertainty, disturbance, system faults, the relevant actuator faults, or even the case of no input from the relevant actuator. The realization of the proposed scheme is given by an algorithm according to a single sensor FD, and verified by a simulation example. Depending on the above, a sensor fault monitoring system is established by the sensor network and diagnosis logic, then the effectiveness is testified by a simulation. View Full-Text
Keywords: fault diagnosis (FD); fault regeneration; sensor network; nonlinear system; Lipschitz; equivalent model; perfect decoupling; fault monitoring system fault diagnosis (FD); fault regeneration; sensor network; nonlinear system; Lipschitz; equivalent model; perfect decoupling; fault monitoring system
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wang, D.; Song, S. Robust Model-Based Sensor Fault Monitoring System for Nonlinear Systems in Sensor Networks. Sensors 2014, 14, 19138-19161.

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