Adaptive local fusion systems for novelty detection and diagnostics in condition monitoring

Odin Taylor; John MacIntyre

doi:10.1117/12.303681

20 March 1998 Adaptive local fusion systems for novelty detection and diagnostics in condition monitoring

Odin Taylor, John MacIntyre

Proceedings Volume 3376, Sensor Fusion: Architectures, Algorithms, and Applications II; (1998) https://doi.org/10.1117/12.303681
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Odin Taylor and John MacIntyre "Adaptive local fusion systems for novelty detection and diagnostics in condition monitoring", Proc. SPIE 3376, Sensor Fusion: Architectures, Algorithms, and Applications II, (20 March 1998); https://doi.org/10.1117/12.303681

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