NETLAB: algorithms for pattern recognition
NETLAB: algorithms for pattern recognition
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
A System for the Analysis of Jet Engine Vibration Data
Integrated Computer-Aided Engineering
A Nonlinear Mapping for Data Structure Analysis
IEEE Transactions on Computers
Novelty detection in large-vehicle turbocharger operation
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
L1 norm based KPCA for novelty detection
Pattern Recognition
Review: A review of novelty detection
Signal Processing
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Application of a neural network approach to data exploration and the generation of a model of system normality is described for use in novelty detection of vibration characteristics of a modern jet engine. The analysis of the shape of engine vibration signatures is shown to improve upon existing methods of engine vibration testing, in which engine vibrations are conventionally compared with a fixed vibration threshold. A refinement of the concept of “novelty scoring” in this approach is also presented.