Version 1
: Received: 7 October 2016 / Approved: 7 October 2016 / Online: 7 October 2016 (12:29:33 CEST)
How to cite:
Kim, P.S. A Design of Finite Memory Residual Generation Filter for Sensor Fault Detection. Preprints2016, 2016100018. https://doi.org/10.20944/preprints201610.0018.v1
Kim, P.S. A Design of Finite Memory Residual Generation Filter for Sensor Fault Detection. Preprints 2016, 2016100018. https://doi.org/10.20944/preprints201610.0018.v1
Kim, P.S. A Design of Finite Memory Residual Generation Filter for Sensor Fault Detection. Preprints2016, 2016100018. https://doi.org/10.20944/preprints201610.0018.v1
APA Style
Kim, P.S. (2016). A Design of Finite Memory Residual Generation Filter for Sensor Fault Detection. Preprints. https://doi.org/10.20944/preprints201610.0018.v1
Chicago/Turabian Style
Kim, P.S. 2016 "A Design of Finite Memory Residual Generation Filter for Sensor Fault Detection" Preprints. https://doi.org/10.20944/preprints201610.0018.v1
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 observations and inputs on the window. It is shown that the residual given by the proposed residual generation filter provides the exact fault for noise-free 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, numerical examples are performed for the discretized DC motor system having the multiple sensor faults.
Keywords
residual generation filter; finite memory structure; Kalman filter; fast detection
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
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.
