A proactive maintenance scheme for hardware fault diagnosis in wireless systems


Walsh, Barbara and Farrell, Ronan (2008) A proactive maintenance scheme for hardware fault diagnosis in wireless systems. In: IET Irish Signals and Systems Conference (ISSC 2008). IET, pp. 210-215. ISBN 9780863419317

[img]
Preview
Download (540kB) | Preview


Share your research

Twitter Facebook LinkedIn GooglePlus Email more...



Add this article to your Mendeley library


Abstract

In the wireless sector maintenance costs form a large part of the total network operating cost. This paper presents a possible proactive maintenance scheme for wireless systems. The object of this paper is to reduce the high operational costs encountered in the wireless industry by decreasing maintenance costs and system downtime. An on-line monitoring system is suggested to identify performance degradation, as well as its possible sources via symbol frequency distribution analysis. In this paper a single fault mechanism is considered and the methodology to detect and diagnose the fault mechanism is presented. With similar analysis for other fault mechanisms, this system could ensure that maintenance occurs only when necessary and not at routine intervals.

Item Type: Book Section
Additional Information: The authors would like to thank the Centre for Telecommunications Value-Chain Research (CTVR) and the Science Foundation of Ireland (SFI) for supporting this research.
Keywords: RF Hardware; Fault Detection; Fault Diagnosis;
Academic Unit: Faculty of Science and Engineering > Electronic Engineering
Faculty of Science and Engineering > Research Institutes > Institute of Microelectronics and Wireless Systems
Item ID: 9669
Identification Number: 10.1049/cp:20080664
Depositing User: Dr. Ronan Farrell
Date Deposited: 10 Jul 2018 15:35
Publisher: IET
Refereed: Yes
Funders: Centre for Telecommunications Value-Chain Research (CTVR), Science Foundation Ireland (SFI)
URI:

Repository Staff Only(login required)

View Item Item control page

Document Downloads

More statistics for this item...