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Acoustic characteristic of leakage sound and detection of the sound under noisy environment

机译:嘈杂环境下泄漏声的声学特性和声音检测

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We describe the acoustic characteristic of leakage sound and the possibility to detect the gas leakage sound under noisy environment. The purpose of this study is to establish the acoustic diagnosis technique for the leakage sound. In order to realize the purpose, we examined the possibility of the adoption of neural networks to the acoustic diagnosis for actual sound involved the background noise. We applied Fast Fourier Transform(FFT) as the pre-processing method and examine features of power spectrum for the gas leakage sound. The feature is that the power spectrum for the gas leakage sound are more than those for the normal sound within the range from about 5kHz to 20kHz. We, furthermore, applied the neural network as the discrimination method. We got the result that the discrimination accuracy is about 96%.
机译:我们描述了泄漏声的声学特性以及在嘈杂环境下检测气体泄漏声的可能性。这项研究的目的是建立泄漏声的声学诊断技术。为了实现此目的,我们研究了将神经网络用于实际声音涉及背景噪声的声学诊断的可能性。我们将快速傅里叶变换(FFT)作为预处理方法,并研究了气体泄漏声的功率谱特征。其特征在于,在大约5kHz至20kHz的范围内,气体泄漏声的功率谱比正常声的功率谱更大。此外,我们将神经网络用作判别方法。我们得到的判别精度约为96%。

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