Acoustic diagnostics of pipeline networks based on correlation analysis using binary analog-stochastic quantization

Abstract

The task of nondestructive testing and diagnostics of pipeline networks by the method of acoustic tomography is considered. For the detect weak signals in the additive mixture of noise, it is proposed to perform digital correlation analysis of signals based on binary sign-function analog-stochastic quantization. In the process of such quantization is formed limited by the level of bipolar sign signal, which has a potential noise immunity to external impulse fluctuations. The main result of the use of sign-function analog-stochastic quantization is the development of digital algorithms for digital correlation analysis for acoustic diagnostics, which do not require the processing of multi-digit samples of the analyzed signals. The basic operations of these algorithms are logically operations and simple arithmetic operations summation and subtraction. All this reduces the laboriousness of the correlation analysis during the acoustic diagnostics.