A Monte-Carlo investigation of the uncertainty of acoustic decay measurements

David Pérez Cabo, Manuel A. Sobreira Seoane, Finn Jacobsen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Measurement of acoustic decays can be problematic at low frequencies: short decays cannot be evaluated accurately. Several effects influencing the evaluation will be reviewed in this paper. As new contribution, the measurement uncertainty due to one-third octave band pass filters will be analysed, taking into account the influence of the magnitude response and the phase distortion. It will be shown how the error not only depends on the filter but also on the modal density and the position of the resonances of the system under test within the frequency band. A Monte-Carlo computer simulation has been be set up: the model function is a model of the acoustic decays, where the modal density, the resonances of the system, and the amplitude and phase of the normal modes may be considered as random variables. Once the random input variables and the model function are defined, the uncertainty of acoustic decay measurements can be estimated. Different filters will be analysed: linear phase FIR and IIR filters both in their direct and time-reversed versions. © European Acoustics Association.
Original languageEnglish
Title of host publicationProceedings - European Conference on Noise Control
PublisherS. Hirzel Verlag GmbH
Publication date2012
Pages531-536
ISBN (Print)9788001050132
Publication statusPublished - 2012
EventNinth European Conference on Noise Control - Czech Technical University, Prague, Czech Republic
Duration: 10 Jun 201213 Jun 2012

Conference

ConferenceNinth European Conference on Noise Control
LocationCzech Technical University
Country/TerritoryCzech Republic
CityPrague
Period10/06/201213/06/2012

Keywords

  • Acoustic noise
  • Acoustic variables control
  • Computer simulation
  • Decay (organic)
  • Frequency bands
  • Uncertainty analysis
  • Decay measurements
  • FIR and IIR filters
  • Linear phase
  • Low frequency
  • Magnitude response
  • Measurement uncertainty
  • Modal density
  • Model functions
  • MONTE CARLO
  • Normal modes
  • Phase distortions
  • Random input
  • System under test
  • Time-reversed

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