In-Field System-Health Monitoring Based on IEEE 1687
(2016) 29th IEEE International System on Chip Conference, SOCC 2016 p.69-74- Abstract
Efficient handling of faults during operation is highly dependent on the interval (latency) from the time embedded instruments detect errors to the time when the fault manager localizes the errors. Detection and localization latencies are dependent on the network connecting fault-monitoring instruments to the fault manager. The network can be dedicated to fault-monitoring data, or used for functional data, as well - posing a trade-off between cost and performance (or predictability). As a middle-ground solution, fault-monitoring networks based on existing IEEE 1687 networks have been proposed. In this paper, we provide an overview of such solutions based on IEEE 1687, detail fault detection and localization procedure for each, and... (More)
Efficient handling of faults during operation is highly dependent on the interval (latency) from the time embedded instruments detect errors to the time when the fault manager localizes the errors. Detection and localization latencies are dependent on the network connecting fault-monitoring instruments to the fault manager. The network can be dedicated to fault-monitoring data, or used for functional data, as well - posing a trade-off between cost and performance (or predictability). As a middle-ground solution, fault-monitoring networks based on existing IEEE 1687 networks have been proposed. In this paper, we provide an overview of such solutions based on IEEE 1687, detail fault detection and localization procedure for each, and compare them regarding fault detection and localization time.
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- author
- Larsson, Erik
LU
; Ghani Zadegan, Farrokh LU and Nikolov, Dimitar LU
- organization
- publishing date
- 2016-09-06
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- fault monitoring, IEEE 1687, time analysis
- host publication
- Proceedings - 29th IEEE International System on Chip Conference, SOCC 2016
- article number
- 7905437
- pages
- 6 pages
- publisher
- IEEE Computer Society
- conference name
- 29th IEEE International System on Chip Conference, SOCC 2016
- conference location
- Seattle, United States
- conference dates
- 2016-09-06 - 2016-09-09
- external identifiers
-
- scopus:85019064959
- ISBN
- 978-1-5090-1367-8
- DOI
- 10.1109/SOCC.2016.7905437
- language
- English
- LU publication?
- yes
- id
- 4e147520-1b64-408e-a9dc-319de20caf34
- date added to LUP
- 2016-12-05 09:14:23
- date last changed
- 2022-03-01 17:38:17
@inproceedings{4e147520-1b64-408e-a9dc-319de20caf34, abstract = {{<p>Efficient handling of faults during operation is highly dependent on the interval (latency) from the time embedded instruments detect errors to the time when the fault manager localizes the errors. Detection and localization latencies are dependent on the network connecting fault-monitoring instruments to the fault manager. The network can be dedicated to fault-monitoring data, or used for functional data, as well - posing a trade-off between cost and performance (or predictability). As a middle-ground solution, fault-monitoring networks based on existing IEEE 1687 networks have been proposed. In this paper, we provide an overview of such solutions based on IEEE 1687, detail fault detection and localization procedure for each, and compare them regarding fault detection and localization time.</p>}}, author = {{Larsson, Erik and Ghani Zadegan, Farrokh and Nikolov, Dimitar}}, booktitle = {{Proceedings - 29th IEEE International System on Chip Conference, SOCC 2016}}, isbn = {{978-1-5090-1367-8}}, keywords = {{fault monitoring; IEEE 1687; time analysis}}, language = {{eng}}, month = {{09}}, pages = {{69--74}}, publisher = {{IEEE Computer Society}}, title = {{In-Field System-Health Monitoring Based on IEEE 1687}}, url = {{http://dx.doi.org/10.1109/SOCC.2016.7905437}}, doi = {{10.1109/SOCC.2016.7905437}}, year = {{2016}}, }