An acoustic abnormal detection system

H. Masubuchi, H. Kobayashi
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引用次数: 1

Abstract

In this paper, we investigate the possibility of using emergency screams as an emergency stop button. Conventional emergency stop systems are not feasible when machines are operated by nonengineers, because they do not anything except crying in such case. We adopt wavelet transformation for pre-processing the screams, and we use a neural network for detecting abnormalities in the processed data. This paper shows several numerical experiments to demonstrate the ability of the system.<>
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一种声学异常探测系统
在本文中,我们研究了使用紧急尖叫作为紧急停止按钮的可能性。当机器由非工程师操作时,传统的紧急停车系统是不可行的,因为在这种情况下,机器除了呜咽之外什么也不做。我们采用小波变换对尖叫进行预处理,并利用神经网络检测处理后数据中的异常。本文给出了几个数值实验来证明该系统的能力。
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