DocumentCode :
2468353
Title :
Failure prediction of electrolytic capacitors in Switching-Mode Power Converters
Author :
Liu, Liangmei ; Guan, Yong ; Wu, Minhua ; Wu, Lifeng
Author_Institution :
Beijing Eng. Res. Center of High Reliable Embedded Syst., Capital Normal Univ., Beijing, China
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
1
Lastpage :
5
Abstract :
The degradation of electrolytic capacitor is the cause of most faults of Switching-Mode Power Converters. Various tests showed that the increase of the internal Equivalent Series Resistance (ESR) of the capacitors is good indicator of their faulty state. This paper presents the equivalent model of electrolytic capacitor, analyzes several different methods of detecting the value of ESR, and proposes a new method to realize the accurate measurement of ESR. The proposed method obtains the amplitude-frequency characteristics and phase-frequency characteristics of the power systems by black-box testing. In addition, it is shown that these characteristics shifted after the deterioration of the filter capacitor. The actual value of ESR is taken out from these shifted characteristics and the equations. At the end of this paper, a series of experimental results are shown to verify the proposed prediction methodology.
Keywords :
electrolytic capacitors; equivalent circuits; fault diagnosis; power convertors; switched mode power supplies; ESR; amplitude-frequency characteristic; black-box testing; electrolytic capacitor; equivalent model; equivalent series resistance; failure prediction; filter capacitor; phase-frequency characteristic; power system; switching-mode power converter; Capacitors; Circuit faults; Inductance; Integrated circuit modeling; Resistance; Switches; Switching circuits; Equivalent Series Resistance; electrolytic capacitor; failure prediction; frequency characteristics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Prognostics and System Health Management (PHM), 2012 IEEE Conference on
Conference_Location :
Beijing
ISSN :
2166-563X
Print_ISBN :
978-1-4577-1909-7
Electronic_ISBN :
2166-563X
Type :
conf
DOI :
10.1109/PHM.2012.6228799
Filename :
6228799
Link To Document :
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