Performance prediction methodology based on pattern recognition

[1]  Jin Chen,et al.  Bearing performance degradation assessment based on lifting wavelet packet decomposition and fuzzy c-means , 2010 .

[2]  Lei Guo,et al.  Robust bearing performance degradation assessment method based on improved wavelet packet–support vector data description , 2009 .

[3]  Hae-Sang Park,et al.  A simple and fast algorithm for K-medoids clustering , 2009, Expert Syst. Appl..

[4]  Lipika Dey,et al.  A k-mean clustering algorithm for mixed numeric and categorical data , 2007, Data Knowl. Eng..

[5]  Xiyu Liu,et al.  A Quick Ant Clustering Algorithm , 2007, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007).

[6]  Zdravko Kacic,et al.  A noise robust feature extraction algorithm using joint wavelet packet subband decomposition and AR modeling of speech signals , 2007, Signal Process..

[7]  Daming Lin,et al.  A review on machinery diagnostics and prognostics implementing condition-based maintenance , 2006 .

[8]  Victor J. Rayward-Smith,et al.  Adapting k-means for supervised clustering , 2006, Applied Intelligence.

[9]  Vittoria Bruni,et al.  Wavelet-based signal de-noising via simple singularities approximation , 2006, Signal Process..

[10]  Urszula Boryczka,et al.  Finding Groups in Data: Cluster Analysis with Ants , 2006, Sixth International Conference on Intelligent Systems Design and Applications.

[11]  Jay Lee,et al.  Degradation Assessment and Fault Modes Classification Using Logistic Regression , 2005 .

[12]  Jay Lee,et al.  A prognostic algorithm for machine performance assessment and its application , 2004 .

[13]  Ling Chen,et al.  A/sup 4/C: an adaptive artificial ants clustering algorithm , 2004, 2004 Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

[14]  Ya-Lou Huang,et al.  A new ant colony clustering algorithm based on DBSCAN , 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).

[15]  Tommy W. S. Chow,et al.  Clustering of the self-organizing map using a clustering validity index based on inter-cluster and intra-cluster density , 2004, Pattern Recognit..

[16]  Ming J. Zuo,et al.  GEARBOX FAULT DIAGNOSIS USING ADAPTIVE WAVELET FILTER , 2003 .

[17]  Jay Lee,et al.  Robust performance degradation assessment methods for enhanced rolling element bearing prognostics , 2003, Adv. Eng. Informatics.

[18]  Mohamed S. Kamel,et al.  Clustering ensemble using swarm intelligence , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).

[19]  Gui Yun Tian,et al.  A FEATURE EXTRACTION TECHNIQUE BASED ON PRINCIPAL COMPONENT ANALYSIS FOR PULSED EDDY CURRENT NDT , 2003 .

[20]  Wu Bin,et al.  CSIM: a document clustering algorithm based on swarm intelligence , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[21]  Fernando Pérez-González,et al.  Wavelet packet-based subband adaptive equalization , 2001, Signal Process..

[22]  Chinatsu Aone,et al.  Fast and effective text mining using linear-time document clustering , 1999, KDD '99.

[23]  Anthony B. Atkinson,et al.  2. Outliers in Statistical Data , 1995 .

[24]  Baldo Faieta,et al.  Diversity and adaptation in populations of clustering ants , 1994 .

[25]  Ibrahim N. Tansel,et al.  Monitoring drill conditions with wavelet based encoding and neural networks , 1993 .

[26]  Jay Lee,et al.  Analysis of machine degradation using a neural network based pattern discrimination model , 1993 .

[27]  Jean-Louis Deneubourg,et al.  The dynamics of collective sorting robot-like ants and ant-like robots , 1991 .

[28]  Jean-Arcady Meyer,et al.  From Animals to Animats: Proceedings of The First International Conference on Simulation of Adaptive Behavior (Complex Adaptive Systems) , 1990 .