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Proceedings Paper

Adaptive local fusion systems for novelty detection and diagnostics in condition monitoring
Author(s): Odin Taylor; John MacIntyre
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Paper Abstract

This paper describes the application of Kohonen Self Organizing Maps in a dynamic machine condition monitoring application which learns fault conditions over time. The authors describe the implementation of a novelty detection and adaptive diagnostic system which forms a modular component of a larger on-line condition monitoring system.

Paper Details

Date Published: 20 March 1998
PDF: 9 pages
Proc. SPIE 3376, Sensor Fusion: Architectures, Algorithms, and Applications II, (20 March 1998); doi: 10.1117/12.303681
Show Author Affiliations
Odin Taylor, Univ. of Sunderland (Netherlands Antilles)
John MacIntyre, Univ. of Sunderland (United Kingdom)

Published in SPIE Proceedings Vol. 3376:
Sensor Fusion: Architectures, Algorithms, and Applications II
Belur V. Dasarathy, Editor(s)

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