EconPapers    
Economics at your fingertips  
 

Networked-based generalised fault detection filtering for sensor faults

Tao Li and Wei Xing Zheng

International Journal of Systems Science, 2015, vol. 46, issue 5, 831-840

Abstract: This paper is concerned with designing fault detection filters for networked control systems subject to limited communication capacity and a class of sensor stuck faults. By taking into account the communication limitations (e.g. measurement quantisation, signal transmission delays and data packet dropouts) and all possible sensor stuck faults, a unified mathematical model is first presented. Based on this framework, a full-order fault detection filter is designed such that the residual system is asymptotically stable with the prescribed attenuation level in the generalised H∞ sense. In order to further improve the detection performance, an optimisation algorithm is proposed to minimise the threshold. Finally, a spring-mass-damper system is utilised to show the effectiveness of the proposed method.

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2013.798443 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tsysxx:v:46:y:2015:i:5:p:831-840

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20

DOI: 10.1080/00207721.2013.798443

Access Statistics for this article

International Journal of Systems Science is currently edited by Visakan Kadirkamanathan

More articles in International Journal of Systems Science from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tsysxx:v:46:y:2015:i:5:p:831-840