Development of software and hardware systems for acoustic diagnostics and vibrodiagnostics


Using the latest achievements in the fluctuation-noise spectroscopy, as well as our own developments in the analysis of noise and signals, we develop unique systems for acoustic and vibration diagnostics.

The high efficiency of our products due to the use of methods of signal processing called NIMRAD (Non-invasive methods reduced Data Analysis), developed by our scientists led by Raoul Nigmatullin. Unlike standart Fourier analysis and Wavelet analysis, we use non-invasive methods of analysis which could be fully automated.


NIMRAD complex includes three independent methods:


1. The first method is based on the procedure of optimal linear smoothing (POLS). The use of this method can optimally smooth out different data using the criterion of the relative error minimum. This approach was successfully tested on a great number of different data obtained from seismology, metrology, finances and infra-red spectroscopy.


2. The second method is based on recognizing the distribution function of the detrended noises of the strongly correlated systems. It is possible to show that there is also a distribution function for strongly correlated systems which approximately coincides with well known function of b-distribution. This means that all noises of strongly correlated systems can be compared to each other by the parameters of this distribution function.


3. The third method allows to expand the wide class of strongly correlated random functions to segment of Prony series and represents them in the form of amplitude-frequency characteristic. This method allows to compare the noises of different nature by their calculated amplitude-frequency characteristics and forms the base of noninvasive noise metrology.


Below you can see complete scheme of the data analysis using all three methods: