首页> 外文期刊>Appliance: Serving the appliance industry worldwide >Diagnosing noise sources in vacuum cleaners
【24h】

Diagnosing noise sources in vacuum cleaners

机译:诊断吸尘器中的噪音源

获取原文
获取原文并翻译 | 示例
       

摘要

A method for accurately and effectively diagnosing noise sources and their transmission paths by visualizing acoustic radiation from an arbitrarily shaped object is presented. The noise generated by an arbitrary source may consist of both air- and structure-borne sounds. Usually, it is difficult to distinguish these types of sounds due to a lack of effective methodologies to separate one sound generation mechanism from the other. In most cases, no distinction of sound generation mechanisms is made at all. Oftentimes, in diagnosing noise sources, the spectra of sound pressure and sound power, and radiation pattern are measured. These data, together with the experiences of the engineers who are carrying out these measurements, are utilized to locate the noise sources and identify their causes. This type of approach may not always yield the desired noise abatement because the diagnostic results obtained may not be definitive. In some cases, it may yield wrong diagnostics and result in wastage of resources in the subsequent noise abatement.
机译:提出了一种通过可视化来自任意形状的物体的声辐射来准确有效地诊断噪声源及其传播路径的方法。任意来源产生的噪声可能既包括空中声音,也包括结构声音。通常,由于缺乏将一种声音生成机制与另一种声音生成机制分开的有效方法,因此很难区分这些类型的声音。在大多数情况下,根本不区分声音产生机制。通常,在诊断噪声源时,会测量声压和声功率的频谱以及辐射方向图。这些数据与进行这些测量的工程师的经验一起被用于定位噪声源并确定其原因。由于获得的诊断结果可能不确定,因此这种方法可能无法始终产生所需的噪声消除效果。在某些情况下,它可能会产生错误的诊断结果,并在随后的噪声消除中浪费资源。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号