Modified self-organising map for automated novelty detection applied to vibration signal monitoring
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[1] X. Xu,et al. An ANS based helicopter transmission diagnostic system , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[2] G. D. Xistris,et al. SELF-ORGANISING NEURAL NETWORKS FOR AUTOMATED MACHINERY MONITORING SYSTEMS , 1996 .
[3] Juha Vesanto,et al. SOM-based data visualization methods , 1999, Intell. Data Anal..
[4] Taehee Kim,et al. Feedforward neural networks for fault diagnosis and severity assessment of a screw compressor , 1995 .
[5] Asoke K. Nandi,et al. Neural network autoregressive modeling of vibrations for condition monitoring of rotating shafts , 1997, Proceedings of International Conference on Neural Networks (ICNN'97).
[6] Arthur Flexer,et al. On the use of self-organizing maps for clustering and visualization , 1999, Intell. Data Anal..
[7] I W Mayes. Use of Neutral Networks for on-Line Vibration Monitoring , 1994 .
[8] Asoke K. Nandi,et al. FAULT DETECTION USING SUPPORT VECTOR MACHINES AND ARTIFICIAL NEURAL NETWORKS, AUGMENTED BY GENETIC ALGORITHMS , 2002 .
[9] Asoke K. Nandi,et al. Genetic algorithms for feature selection in machine condition monitoring with vibration signals , 2000 .
[10] Asoke K. Nandi,et al. Real-time classification of rotating shaft loading conditions using artificial neural networks , 1997, IEEE Trans. Neural Networks.
[11] Teuvo Kohonen,et al. Self-Organizing Maps , 2010 .
[12] A. Murray,et al. Extracting useful higher order features for condition monitoring using artificial neural networks , 1997, IEEE Trans. Signal Process..
[13] Jarkko Venna,et al. Analysis and visualization of gene expression data using Self-Organizing Maps , 2002, Neural Networks.