Title :
Vibration data compression with optimal wavelet coefficients
Author :
Staszewski, W.J.
Author_Institution :
Dept. of Mech. Eng., Sheffield Univ., UK
Abstract :
The paper presents an application of data compression in vibration analysis. A linear transformation procedure based on the wavelet transform is used for feature selection in the data. A simple genetic algorithm is employed to extract wavelet coefficients which represents these features in the time-scale domain. The method is applied to the compression of gearbox vibration spectra showing a potential for storage, transmission and fault feature selection for condition monitoring
Keywords :
vibrations; condition monitoring; fault feature selection; feature selection; gearbox vibration spectra; linear transformation procedure; optimal wavelet coefficients; vibration analysis; vibration data compression; wavelet transform;
Conference_Titel :
Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446)
Conference_Location :
Glasgow
Print_ISBN :
0-85296-693-8
DOI :
10.1049/cp:19971178
