Neural networks in fault detection: A case study

D. R. Hush, C. T. Abdallah, G. L. Heileman, D. Docampo

Research output: Contribution to journalConference articlepeer-review

12 Scopus citations

Abstract

In this paper we study the applications of neural nets in the area of fault detection in real vibrational data. The study is one of the first to include a large set of real vibrational data and to illustrate the potential as well as the limitations of neural networks for fault detection.

Original languageEnglish (US)
Pages (from-to)918-921
Number of pages4
JournalProceedings of the American Control Conference
Volume2
DOIs
StatePublished - 1997
Externally publishedYes
EventProceedings of the 1997 American Control Conference. Part 3 (of 6) - Albuquerque, NM, USA
Duration: Jun 4 1997Jun 6 1997

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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