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Chinese Journal of Electrical Engineering
Article . 2018 . Peer-reviewed
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A comprehensive survey on fault diagnosis and fault tolerance of DC-DC converters

A comprehensive survey on fault diagnosis and fault tolerance of DC-DC converters

Abstract

DC-DC converters are becoming more commonly used in power conversion solutions for energy management purposes, being employed in an ever-increasing range of DC-based applications, such as LED lighting, electric vehicles, energy storage solutions, and consumer electronics (laptops, smartphones, etc.). In this context, efficiency and reliability are critical. The research efforts made in improving reliability of DC-DC converters are still quite narrow and scattered. Moreover, DC-DC converters take the shape of an endless number of topologies, with different functionalities and operation principles, thus complicating the task of improving reliability of all forms of DC-DC converters. Consequently, compiling the information about the main failure modes, corresponding fault diagnostic algorithms and fault tolerance strategies developed so far, in a single document, becomes increasingly necessary. Accordingly, this paper presents an up-to-date review of the recent achievements attained regarding the improvement of availability and reliability of DC-DC converters.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
55
Top 1%
Top 10%
Top 10%
gold