Characterization of aging process in power converters using spread spectrum time domain reflectometry

Update item information
Publication Type pre-print
School or College College of Engineering
Department Electrical & Computer Engineering
Creator Khan, Faisal Habib
Other Author Nasrin, M. Sultana
Title Characterization of aging process in power converters using spread spectrum time domain reflectometry
Date 2012-01-01
Description This paper aims to find a new technique to predict the state of health of power converters by characterizing the most vulnerable components in the converter without affecting the normal circuit operation. Spread spectrum time domain reflectometry (SSTDR) can detect most of the aged components inside the converter while the converter is operational. Semiconductor switches and electrolytic capacitors are the two most sensitive components in power converter circuits, and this paper demonstrated how SSTDR can be used to determine the degradation of these components. Multiple sets of test data have been generated while the SSTDR process is applied to the power MOSFETs, IGBTs connected in a chopper circuit and to the aluminum electrolytic capacitors connected in an RC circuit. Analysis is done on these obtained test data to show how the SSTDR generated data are consistent with the aging of power MOSFETs, IGBTs and electrolytic capacitors.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
First Page 2142
Last Page 2148
Dissertation Institution University of Utah
Language eng
Bibliographic Citation Nasrin, M. S., & Khan, F. H. (2012). Characterization of aging process in power converters using spread spectrum time domain reflectometry. 2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012, no. 6342450, 2142-8.
Rights Management (c)2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Format Medium application/pdf
Format Extent 828,783 bytes
Identifier uspace,18133
ARK ark:/87278/s6h99q0c
Setname ir_uspace
Date Created 2013-01-25
Date Modified 2021-05-06
ID 708301
Reference URL https://collections.lib.utah.edu/ark:/87278/s6h99q0c
Back to Search Results