Abstract
Abstract Signals obtained from a fiber optic transducer with an optical extender used to scan surfaces of varying texture been examined through analysis of their statistical functions, and compared with the signals obtained from a conventional contact profilometer. The amplitude/time and autocorrelation functions, probability density, and power spectra analyzed to assess the potential of technology where contact methods are impossible, such as the in-process monitoring of grinding wheel wear.
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