DocumentCode
2098830
Title
Considerations in implementing canary based prognostics
Author
Mathew, Sony ; Osterman, Michael ; Pecht, Michael
Author_Institution
Center for Advanced Life Cycle Engineering (CALCE) University of Maryland, College Park, MD 20742
fYear
2015
fDate
22-25 June 2015
Firstpage
1
Lastpage
7
Abstract
The concept of using canary devices to predict the failure of a system is gaining momentum but there are practical issues that challenge the mainstream implementation of canary device based prognostics. This paper provides a general methodology for implementation of the canary based prognostics. This paper presents an approach to tackle practical issues including determining the number of canary devices required and the confidence in the prediction for a particular number of canaries. A failure prediction scheme to estimate system failure based on the failure of the canary device in the field, is also presented in this paper.
Keywords
Loading; Mathematical model; Probability; Resistors; Shape; Temperature distribution; Canary design; failure prediction scheme; number of canaries; prediction confidence;
fLanguage
English
Publisher
ieee
Conference_Titel
Prognostics and Health Management (PHM), 2015 IEEE Conference on
Conference_Location
Austin, TX, USA
Type
conf
DOI
10.1109/ICPHM.2015.7245062
Filename
7245062
Link To Document