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20 March 1998 Adaptive local fusion systems for novelty detection and diagnostics in condition monitoring
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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