A system of far-field sound pressure prediction based on Hadoop

Xiaobin Cheng, Shuyuan Shi, Xun Wang, Jun Yang

Research output: Contribution to conferencePaperpeer-review

Abstract

For larger distributed noise sources, such as plants, the sound pressure levels have to be controlled under the standard limits. Therefore, the far-field sound pressures are usually monitored. In this case, It is inconvenient to set the sensors in the far field. Cheng[1] presented a new method for monitoring far-field noise level with a few near-field sensors. This method employs the ideas of frequency response function measurement, and it first measures the response-response matrix from the neighboring sensors to microphones at the desired location under different operational conditions. In this solution, the huge data mass were got from the distributed sensor network for near-field monitoring and were processed. It brought together end-great storage and calculation of pressure, and the distributed acquisition and effective use of resources at the end of it.

Original languageEnglish
Publication statusPublished - 2015
Externally publishedYes
Event44th International Congress and Exposition on Noise Control Engineering, INTER-NOISE 2015 - San Francisco, United States
Duration: Aug 9 2015Aug 12 2015

Conference

Conference44th International Congress and Exposition on Noise Control Engineering, INTER-NOISE 2015
Country/TerritoryUnited States
CitySan Francisco
Period8/9/158/12/15

Bibliographical note

Publisher Copyright:
© 2015 by ASME.

ASJC Scopus Subject Areas

  • Acoustics and Ultrasonics

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