Abstract
This paper describes results of an active noise control system using finite element-based virtual sensors. Systems for active reduction of noise are usually designed to minimize the noise at a physical error sensor. To obtain better noise reduction at a location away from the physical error sensors, virtual sensor techniques have been proposed. These methods require calibration with physical sensors at the monitor sensor location and virtual error sensor location. This can be time-consuming and inconvenient. This paper describes a method in which virtual sensors are determined using a finite element model to eliminate the calibration step. The method is tested in an experimental set-up for a ventilation system with heat recovery. Results are shown, comparing the performance of the finite element based virtual sensor to that of a physical sensor and a measured virtual sensor.
Original language | English |
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Title of host publication | 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 8479-8483 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-4799-8131-1 |
ISBN (Print) | 978-1-4799-8132-8 |
DOIs | |
Publication status | Published - May 2019 |
Event | 44th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton Conference Centre, Brighton, United Kingdom Duration: 12 May 2019 → 17 May 2019 Conference number: 44 |
Publication series
Name | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
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Publisher | IEEE |
Volume | 2019 |
ISSN (Print) | 1520-6149 |
ISSN (Electronic) | 2379-190X |
Conference
Conference | 44th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 |
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Abbreviated title | ICASSP |
Country/Territory | United Kingdom |
City | Brighton |
Period | 12/05/19 → 17/05/19 |
Keywords
- Active noise control
- Virtual sensors