title: A wavelet filtering method for cumulative gamma spectroscopy used in wear measurements.
abstract: Continuous ultra-mild wear quantification using radioactive isotopes involves measuring very low amounts of activity in limited time intervals. This results in gamma spectra with poor signal-to-noise ratio and hence very scattered wear data, especially during running-in, where wear is intrinsically low. Therefore, advanced filtering methods reducing the wear data scattering and making the calculation of the main peak area more accurate are mandatory. An energy-time dependent threshold for wavelet detail coefficients based on Poisson statistics and using a combined Barwell law for the estimation of the average photon counting rate is then introduced. In this manner, it was shown that the accuracy of running-in wear quantification is enhanced.
authors.affiliation: AC2T research GmbH, Viktor-Kaplan-Straße 2, A-2700 Wiener Neustadt, Austria. Electronic address: deiv.bianchi@gmail.com.
authors.forename: Davide
authors.initials: D
authors.lastname: Bianchi
authors.affiliation: AC2T research GmbH, Viktor-Kaplan-Straße 2, A-2700 Wiener Neustadt, Austria. Electronic address: lenauer@ac2t.at.
authors.forename: Claudia
authors.initials: C
authors.lastname: Lenauer
authors.affiliation: Institute of Applied Physics, Vienna University of Technology, Wiedner Hauptstraße 8 - 10/134, A-1040 Vienna, Austria.
authors.forename: Gerhard
authors.initials: G
authors.lastname: Betz
authors.affiliation: AC2T research GmbH, Viktor-Kaplan-Straße 2, A-2700 Wiener Neustadt, Austria; Institute of Applied Physics, Vienna University of Technology, Wiedner Hauptstraße 8 - 10/134, A-1040 Vienna, Austria.
authors.forename: András
authors.initials: A
authors.lastname: Vernes
keywords: Poisson distribution; Radioacitve isotope wear measurements; Tribology; Wavelet denoising