... is crucial for pattern classification of the time series. The primary objective here is to effectively capture the change in information contents in the time series belonging to different classes. Sarkar et al. [ 10 ] have introduced a time-series partitioning scheme, called the wrapper method, that aims...

... of faults in diesel engines. The choice of 85–95% is based on the maximum classification accuracy obtained when all sensor measurements are used for training the classification rules considered in this study. data mining diesel engines feature extraction mechanical engineering computing pattern...

... 2006 structural engineering time series condition monitoring Gaussian processes autoregressive moving average processes vectors vibrations structural health monitoring damage diagnosis pattern classification Gaussian mixture models Structural health monitoring (SHM) has...

.... , 1997 , “ Structural Fault Detection Using A Novelty Measure ,” J. Sound Vib. , 201 ( 1 ), pp. 85 – 101 . Duda, R. O., and Hart, P. E., 1973, Pattern Classification and Scene Analysis , John Wiley and Sons, New York. Barnett, V., and Lewis, T., 1994, Outliers in Statistical Data , John Wiley...

... Systems and Control Division February 7, 2002; final revision March 12, 2003. Associate Editor: Y. Chait. 07 February 2002 12 March 2003 18 09 2003 road vehicles fault tolerance pattern classification convex programming nonlinear control systems closed loop systems...