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Content Provider | IEEE Xplore Digital Library |
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Author | Amaral, A. Marques Cardoso, A.J. |
Copyright Year | 2008 |
Description | Author affiliation: Polytech. Inst. of Coimbra/ISEC-DEIS, Coimbra (Amaral, A.) |
Abstract | This paper presents an on-line non-invasive fault diagnostic technique that can predict the condition of aluminum electrolytic capacitors used in the output filter of switch mode power supplies (SMPS). The aluminum electrolytic capacitors aging process manifest itself by the increase of their equivalent series resistance (ESS). The proposed method uses the input current, the output voltage ripple, the discrete Fourier transform (DFT) and the least mean squares (LMS) algorithm to predict the ESR value. |
Starting Page | 2097 |
Ending Page | 2102 |
File Size | 367494 |
Page Count | 6 |
File Format | |
ISBN | 9781424416677 |
ISSN | 02759306 |
DOI | 10.1109/PESC.2008.4592252 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-06-15 |
Publisher Place | Greece |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Capacitors Inductors Switched-mode power supply Converters Aluminum Capacitance Resistance |
Content Type | Text |
Resource Type | Article |
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