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Implementation Considerations for Active Noise Control in Ventilation Systems
Blekinge Institute of Technology, School of Engineering, Department of Signal Processing.
Blekinge Institute of Technology, School of Engineering, Department of Signal Processing.
2006 (English)Independent thesis Basic level (degree of Bachelor)Student thesis
Abstract [en]

The most common method to attenuate noise in ventilation systems today is passive silencers. For these to efficiently attenuate frequencies below 400 Hz such silencers need to be large and a more neat solution to attenuate low frequencies is to use active noise control (ANC). The usage of ANC in ventilation systems is well known and there are several commercial products available. ANC is not, however, used on a wide basis due to its often high price and poor performance. Since the price is an important factor in ANC systems the expensive laboratory filters and the amplifier that is currently used in the experimental setup at Blekinge Institute of Technology (BTH) need to be replaced with cheaper ones, but without too much performance loss. For easier implementation in ventilation systems the placement of the reference microphone is important, the shorter distance from the anti-noise loud speaker the easier the ANC system is to implement. But if the distance is so small that the ANC system is no longer causal the performance will be decreased and if the reference microphone is close enough to pick up acoustic feedback from the anti-noise loud speaker the performance will also be decreased. In this thesis the expensive laboratory filters will be exchanged to cheaper alternatives, power and total harmonic distortion (THD) measurements will be done on the amplifier that is driving the loud speaker and the reference microphones position will be investigated with measurements on the group delay of the system and the acoustic feedback between the loud speaker and the reference microphone.

Place, publisher, year, edition, pages
2006. , 124 p.
Keyword [en]
Active Noise Control, Adaptive Signal Processing, Analog Filters, Digital Signal Processor
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-2790Local ID: oai:bth.se:arkivex7F9134A99F8903F5C125724A0031D01BOAI: oai:DiVA.org:bth-2790DiVA: diva2:830083
Uppsok
Technology
Supervisors
Available from: 2015-04-22 Created: 2006-12-20 Last updated: 2015-06-30Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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  • Other locale
More languages
Output format
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