<title>Adaptive local fusion systems for novelty detection and diagnostics in condition monitoring</title>

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.