Fault Diagnosis of Electronic Systems Using Intelligent Techniques: A Review

Research output: Contribution to journalArticle

130 Citations (Scopus)
LanguageEnglish
Pages269-281
JournalIEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Volume31
Issue number3
DOIs
Publication statusPublished - 1 Aug 2001

Cite this

@article{9fd15fc448d74634bac221243dae4300,
title = "Fault Diagnosis of Electronic Systems Using Intelligent Techniques: A Review",
author = "LP Maguire and B Fenton and Martin McGinnity",
note = "Other Details ------------------------------------ This paper represents the culmination of collaborative research with International Test Technologies Ltd, who specialise in functional test and diagnostic solutions for processor boards. Professor John Sheppard (John Hopkins University), who reviewed the paper, indicated: “The primary contribution is that it provides a complete review of all major AI-based approaches to diagnostics. As mentioned previously, there are several papers and books that review diagnostics within the context of a particular technique; however, I have seen nothing that attempts to discuss the pros and cons across all major techniques. As such, this paper has the potential to fill an important void.”",
year = "2001",
month = "8",
day = "1",
doi = "10.1109/5326.971655",
language = "English",
volume = "31",
pages = "269--281",
number = "3",

}

Fault Diagnosis of Electronic Systems Using Intelligent Techniques: A Review. / Maguire, LP; Fenton, B; McGinnity, Martin.

Vol. 31, No. 3, 01.08.2001, p. 269-281.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Fault Diagnosis of Electronic Systems Using Intelligent Techniques: A Review

AU - Maguire, LP

AU - Fenton, B

AU - McGinnity, Martin

N1 - Other Details ------------------------------------ This paper represents the culmination of collaborative research with International Test Technologies Ltd, who specialise in functional test and diagnostic solutions for processor boards. Professor John Sheppard (John Hopkins University), who reviewed the paper, indicated: “The primary contribution is that it provides a complete review of all major AI-based approaches to diagnostics. As mentioned previously, there are several papers and books that review diagnostics within the context of a particular technique; however, I have seen nothing that attempts to discuss the pros and cons across all major techniques. As such, this paper has the potential to fill an important void.”

PY - 2001/8/1

Y1 - 2001/8/1

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DO - 10.1109/5326.971655

M3 - Article

VL - 31

SP - 269

EP - 281

IS - 3

ER -