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Fault Diagnosis of Electronic System Using Artificial Intelligence
Oleh:
Fenton, B.
;
McGinnity, M.
;
Maguire, L.
Jenis:
Article from Bulletin/Magazine
Dalam koleksi:
IEEE Instrumentation & Measurement Magazine vol. 5 no. 3 (2002)
,
page 16-20.
Topik:
ARTIFIAL INTELLIGENCE
;
fault diagnosis
;
electronic system
;
artificial intelligence
Ketersediaan
Perpustakaan Pusat (Semanggi)
Nomor Panggil:
II47.3
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
With increasing system complexity, shorter product life cycles, lower production costs, and changing technologies, the need for intelligent tools for all stages of a product's lifecycle is becoming increasingly important. The purpose of this article is to give a brief review how AI has been used in the field of electronic fault diagnosis. Topics discussed include : rule - based diagnostic systems ; model - based diagnostic systems ; case - based reasoning (CBR) ; fuzzy reasoning and artificial neural networks (ANN) ; hybrid approaches ; IEEE diagnostic standards and automated diagnostic tool future developments.
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