Development and experimental verification of an active noise cancellation (ANC) method for non-invasive sensing

  • Bozhou Zhuang
  • , Bora Gencturk
  • , Iman Asareh
  • , Assad Oberai
  • , Harisankar Ramaswamy
  • , Ryan Meyer
  • , Morris Good
  • , Matthew Taubman

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Ultrasonic wave propagation may be used in non-invasive sensing to identify the properties of a fluid in a container. An ultrasonic excitation can be coupled into the liquid or the gas through the walls of the container and detected by a receiver on the other side. However, in addition to this fluid path, another signal will also propagate through the structure and is referred as noise in this study. For most materials, this structural noise will be of higher amplitude compared to the fluid signal due to the large acoustic impedance difference between the solid container and the fluid. In this paper, an active noise cancellation (ANC) method is developed and demonstrated on an experimental setup. It was shown that this method cancels more than 90% of the noise signal in a given time window of interest. A sequential version of this cancellation method is also proposed, and it was shown that its performance improves as the number of canceling excitations is increased. The performance was found to be independent of the location of canceling transducers and position of the silence window but dependent on the width of the silence window. As an example, the ANC method was applied to noise cancellation of a signal travelling through water in a stainless-steel container. The signal-to-noise ratio (SNR) of the water signal in the window of interest was increased by 148% from 13.98 dB to 34.68 dB by using the proposed ANC method.

Original languageEnglish
Article number110330
JournalMechanical Systems and Signal Processing
Volume196
DOIs
StatePublished - Aug 1 2023
Externally publishedYes

Funding

The funding for this research is provided by the U.S. Department of Energy under the Nuclear Energy University Program award no. DE-NE0009171. The findings and opinions presented here are those of the authors and do not necessarily reflect the views of or endorsed by the Sponsor.

Keywords

  • Active noise cancellation (ANC)
  • Non-invasive sensing
  • Signal-to-noise ratio (SNR)
  • Ultrasonic testing

Fingerprint

Dive into the research topics of 'Development and experimental verification of an active noise cancellation (ANC) method for non-invasive sensing'. Together they form a unique fingerprint.

Cite this