Received 20.08.2013, Revised 04.11.2013, Accepted 10.12.2013

Synthesis of two-dimensional diagnostic parameters during covariance analysis of three-dimensional wavelet-transformed vibration signals

Pavlo Shchapov, Ruslan Mihushchenko

Results of the kovariatsionny analysis of continuous veyvlet-transformation of spectral and non-stationary vibrosignals are presented. or from scale. The model of piecewise and linear approximation of any of sections of the three-dimensional veyvlet-image by sequences of regressions with the casual coefficients which dispersive analysis allows to allocate Fischer's four criteria two-dimensional statisticians who depend either on shift, or on scale is offered. Reflected that as informative for problems of vibration diagnostics are F-statistics that depend on the scale. The resulting F-statistic, as random variables with known distribution law, allow you to go from a qualitative assessment to quantitative measurement characteristics and evaluate the probability of error diagnosis based on standard parametric models

kovariatsionny analysis; veyvlet-transformation
69-75
Shchapov, P., & Mihushchenko, R. (2013). Synthesis of two-dimensional diagnostic parameters during covariance analysis of three-dimensional wavelet-transformed vibration signals. Information Technologies and Computer Engineering, 10(3), 69-75.

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