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
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;
Conference_Titel :
Electronics Technology (ISSE), 2012 35th International Spring Seminar on
Conference_Location :
Bad Aussee
Print_ISBN :
978-1-4673-2241-6
Electronic_ISBN :
2161-2528
DOI :
10.1109/ISSE.2012.6273136
