A study on the localization of incipient propeller cavitation applying sparse Bayesian learning

Ha-Min Choi; Haesang Yang; Sock-Kyu Lee; Woojae Seong

doi:10.7776/ASK.2023.42.6.529

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2023 Vol.42, Issue 6 Preview Page Next Page

Research Article

A study on the localization of incipient propeller cavitation applying sparse Bayesian learning 희소 베이지안 학습 기법을 적용한 초생 프로펠러 캐비테이션 위치추정 연구

30 November 2023. pp. 529-535

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Abstract

Noise originating from incipient propeller cavitation is assumed to come from a limited number of sources emitting a broadband signal. Conventional methods for cavitation localization have limitations because they cannot distinguish adjacent sound sources effectively due to low accuracy and resolution. On the other hand, sparse Bayesian learning technique demonstrates high-resolution restoration performance for sparse signals and offers greater resolution compared to conventional cavitation localization methods. In this paper, an incipient propeller cavitation localization method using sparse Bayesian learning is proposed and shown to be superior to the conventional method in terms of accuracy and resolution through experimental data from a model ship.

Keywords

Incipient cavitation localization

Source localization

Sparse signal recovery

Sparse bayesian learning

초생 프로펠러 캐비테이션에 의한 소음은 광대역 신호를 방출하는 적은 수의 음원으로 가정된다. 전통적인 캐비테이션 위치 추정 방법은 정확도가 낮으며, 해상도가 낮아 인접한 음원을 구분할 수 없다는 한계점이 있다. 희소 베이지안 학습 기법은 희소성을 가지는 신호에 대해 고해상도의 복원 성능을 보이는 기법으로, 전통적인 캐비테이션 위치추정 방법에 비해 고해상도로 위치를 추정하는 특성을 가진다. 본 논문에서는 희소 베이지안 학습 기법을 적용한 초생 프로펠러 캐비테이션 위치 추정 기법을 제안하고 실제 모형선 실험 결과를 통해 제안한 기법이 정확도 및 해상도 측면에서 기존 방식보다 뛰어남을 보였다.

키워드

초생 캐비테이션 위치추정

음원 위치추정

희소 신호 복원

희소 베이지안 학습

References

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Information

Publisher :The Acoustical Society of Korea
Publisher(Ko) :한국음향학회
Journal Title :The Journal of the Acoustical Society of Korea
Journal Title(Ko) :한국음향학회지
Volume : 42
No :6
Pages :529-535
Received Date : 2023-07-21
Accepted Date : 2023-11-08
DOI :https://doi.org/10.7776/ASK.2023.42.6.529

The Journal of the Acoustical Society of Korea 한국음향학회지 ISSN:1225-4428(Print) 2287-3775(Online)

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