Have a personal or library account? Click to login
A Design of Finite Memory Residual Generation Filter for Sensor Fault Detection Cover

A Design of Finite Memory Residual Generation Filter for Sensor Fault Detection

By: Pyung Soo Kim  
Open Access
|Apr 2017

Abstract

In the current paper, a residual generation filter with finite memory structure is proposed for sensor fault detection. The proposed finite memory residual generation filter provides the residual by real-time filtering of fault vector using only the most recent finite measurements and inputs on the window. It is shown that the residual given by the proposed residual generation filter provides the exact fault for noisefree systems. The proposed residual generation filter is specified to the digital filter structure for the amenability to hardware implementation. Finally, to illustrate the capability of the proposed residual generation filter, extensive simulations are performed for the discretized DC motor system with two types of sensor faults, incipient soft bias-type fault and abrupt bias-type fault. In particular, according to diverse noise levels and windows lengths, meaningful simulation results are given for the abrupt bias-type fault.

Language: English
Page range: 76 - 82
Submitted on: Oct 25, 2016
Accepted on: Mar 14, 2017
Published on: Apr 26, 2017
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2017 Pyung Soo Kim, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.