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

机译:基于二进制模拟-随机量化的相关性分析的管网声学诊断

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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.
机译:考虑了用声层析成像方法对管道网络进行无损检测和诊断的任务。为了检测噪声的加性混合中的微弱信号,提出了基于二进制符号函数模拟-随机量化对信号进行数字相关分析。在此过程中,这种量化受到双极性信号电平的限制,该信号对外部脉冲波动具有潜在的抗扰性。使用符号函数模拟随机量化的主要结果是开发了用于数字相关性分析以进行声学诊断的数字算法,该算法不需要处理所分析信号的多位样本。这些算法的基本运算是逻辑运算和简单的算术运算加法和减法。所有这些减少了声学诊断过程中相关分析的繁琐工作。

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