Title :
A Segmentation Technique for Waveform Classification
Author :
Pavlidis, Theodosios ; Fang, Geng Seng
Author_Institution :
Department of Electrical Engineering, Princeton University, Princeton, N. J. 08540.
Abstract :
This note describes the determination of waveform segments which contain the information necessary for classification. The method is successful in discriminating between the vibration record of internal combustion engines before and after repair.
Keywords :
Covariance matrix; Distributed computing; Eigenvalues and eigenfunctions; Feature extraction; Internal combustion engines; Linear matrix inequalities; Pattern analysis; Statistical analysis; Testing; Vibrations; Averaging statistics; engine signature analysis; internal combustion engines; mechanical fault diagnosis; pattern recognition; signal discrimination; signal segmentation; waveform recognition;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.1972.5009050
