... classification accuracy of 97% was obtained over a range of rotating speeds. 08 07 2010 30 10 2010 09 09 2011 09 09 2011 fault diagnosis feature extraction materials testing neural nets pattern classification rolling bearings vibrations Using Parzen’s window...

... possible to improve fault diagnosis accuracy to reduce downtime of machineries. fault diagnosis genetic algorithm integration diagnosis rotating machinery artificial immune systems condition monitoring electric machines fault diagnosis genetic algorithms neural nets reliability...

... operation. bearing fault diagnosis kurtosis laplace wavelet genetic algorithm ANN fault diagnosis feature extraction genetic algorithms Laplace transforms mechanical engineering computing neural nets pattern classification rolling bearings vibrations wavelet transforms 26...

... 02 2004 shells (structures) dynamic response distributed control bending piezoelectric transducers strain measurement strain sensors neural nets membranes structural acoustics electric potential Effective distributed structural control depends on accurate measurements...

... test signals. Two neural nets were trained, one to detect defects and the other to predict the extent (or width) of defects. The first returned an accurate verdict 86 percent and 76 percent of the time when specimens were not defective and defective, respectively. For the second net, with the exception...