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Gleaning useful information from noise

机译:从噪音中收集有用的信息

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摘要

Understanding the sources and causes of acoustic noise of machines or system components under investigation is becoming more and more important in development, experimentation, production sampling, service, and maintenance. After all, the "extra quantity" of acoustics is often crucial for comfort, occupational health and safety, and brand image in the complete product life cycle. In the past, engineers needed to employ additional tools when measuring acoustics-forcing them to battle with different devices, user interfaces, philosophies, and data formats. However, today's measurement tools, such as HBM's QuantumX and catmanAP data acquisition solution, can provide detailed acoustic measurement analysis capabilities along with a full suite of features for acquiring mechanical, thermal, electrical, and digital bus signals, as well as GPS and video signals. For acoustic measurement, in particular, engineers can take advantage of features such as sound-level analysis in dB(A) with psychoacoustic evaluation according to loudness and frequency analysis in the 2-D spectrogram.
机译:在开发,实验,产品采样,服务和维护中,了解正在调查的机器或系统组件的噪声源和成因变得越来越重要。毕竟,声学的“额外数量”通常对于整个产品生命周期中的舒适性,职业健康和安全以及品牌形象至关重要。过去,工程师在测量声学效果时需要使用其他工具,从而迫使它们与不同的设备,用户界面,理念和数据格式作斗争。但是,当今的测量工具,例如HBM的QuantumX和catmanAP数据采集解决方案,可以提供详细的声学测量分析功能,以及用于采集机械,热,电和数字总线信号以及GPS和视频信号的全套功能。 。尤其是对于声学测量,工程师可以利用诸如以dB(A)为单位的声级分析以及根据二维频谱图中的响度和频率分析进行心理声学评估的功能。

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  • 来源
    《Electronic products》 |2015年第5期|32-34|共3页
  • 作者

    CHRISTOF SALCHER;

  • 作者单位

    International Product HBM, Inc.;

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  • 原文格式 PDF
  • 正文语种 eng
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