DocumentCode
3041499
Title
A review of data-driven prognostics in power electronics
Author
Kabir, Ahsanul ; Bailey, Christopher ; Lu, Hua ; Stoyanov, Stoyan
Author_Institution
Sch. of Comput. & Math. Sci., Univ. of Greenwich, London, UK
fYear
2012
fDate
9-13 May 2012
Firstpage
189
Lastpage
192
Abstract
The discipline that connects prognostics and system lifecycle management is often referred to as prognostics and health management (PHM). Though prognostics is one of the main parts of PHM, it is the least mature. This paper is based on the past work of data driven prognostics applied in the field of power electronics modules and primarily concerned with the data driven prognostics methods that take advantage of measured characteristics of individual systems or components in order to predict the remaining useful life (RUL).
Keywords
circuit reliability; condition monitoring; power electronics; remaining life assessment; data driven prognostics; lifecycle management; power electronics modules; prognostics and health management; remaining useful life; Insulated gate bipolar transistors; Mathematical model; Monitoring; Physics; Predictive models; Prognostics and health management;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics Technology (ISSE), 2012 35th International Spring Seminar on
Conference_Location
Bad Aussee
ISSN
2161-2528
Print_ISBN
978-1-4673-2241-6
Electronic_ISBN
2161-2528
Type
conf
DOI
10.1109/ISSE.2012.6273136
Filename
6273136
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