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Detail
ArtikelFault 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
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Isi artikelWith 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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