{"title":"Application of ROSI + CLEAN-SC algorithm on the measurement of rotating blade noise and its control","authors":"Jianhai Ye, Yong Li","doi":"10.1016/j.apacoust.2025.110866","DOIUrl":null,"url":null,"abstract":"<div><div>Stationary noise sources are localized by the conventional beamforming technique and then by the inverse convolution method to achieve high spatial resolution. As for rotating noise sources, stationary beamforming produces a tail-dragging effect due to the non-stationary nature of the source location. As a time-domain de-Doppler method, the rotating source identifier (ROSI) algorithm achieves an accurate localization of rotating sources. However, its spatial resolution still needs improvements at low and medium frequency bands. This paper applies the CLEAN based on source coherence (CLEAN-SC) algorithm to the ROSI algorithm by extending the time-domain ROSI to the frequency domain and using eigenvalue decomposition to reorganize the ROSI output into cross-spectral matrices (CSMs) and steering vectors (SVs). The effectiveness and applicability of the ROSI + CLEAN-SC algorithm are verified through numerical simulations and experiments on the localization of rotating point noise sources. Finally, this algorithm is applied to measure the rotating blade noise and its control through three different blade modifications, further demonstrating the ability of the ROSI + CLEAN-SC algorithm on real experimental applications.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":"240 ","pages":"Article 110866"},"PeriodicalIF":3.4000,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Acoustics","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0003682X2500338X","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Stationary noise sources are localized by the conventional beamforming technique and then by the inverse convolution method to achieve high spatial resolution. As for rotating noise sources, stationary beamforming produces a tail-dragging effect due to the non-stationary nature of the source location. As a time-domain de-Doppler method, the rotating source identifier (ROSI) algorithm achieves an accurate localization of rotating sources. However, its spatial resolution still needs improvements at low and medium frequency bands. This paper applies the CLEAN based on source coherence (CLEAN-SC) algorithm to the ROSI algorithm by extending the time-domain ROSI to the frequency domain and using eigenvalue decomposition to reorganize the ROSI output into cross-spectral matrices (CSMs) and steering vectors (SVs). The effectiveness and applicability of the ROSI + CLEAN-SC algorithm are verified through numerical simulations and experiments on the localization of rotating point noise sources. Finally, this algorithm is applied to measure the rotating blade noise and its control through three different blade modifications, further demonstrating the ability of the ROSI + CLEAN-SC algorithm on real experimental applications.
期刊介绍:
Since its launch in 1968, Applied Acoustics has been publishing high quality research papers providing state-of-the-art coverage of research findings for engineers and scientists involved in applications of acoustics in the widest sense.
Applied Acoustics looks not only at recent developments in the understanding of acoustics but also at ways of exploiting that understanding. The Journal aims to encourage the exchange of practical experience through publication and in so doing creates a fund of technological information that can be used for solving related problems. The presentation of information in graphical or tabular form is especially encouraged. If a report of a mathematical development is a necessary part of a paper it is important to ensure that it is there only as an integral part of a practical solution to a problem and is supported by data. Applied Acoustics encourages the exchange of practical experience in the following ways: • Complete Papers • Short Technical Notes • Review Articles; and thereby provides a wealth of technological information that can be used to solve related problems.
Manuscripts that address all fields of applications of acoustics ranging from medicine and NDT to the environment and buildings are welcome.