Experimental study of sound source localization using angular spectrum approach in the presence of artificial wind

Vinaya, Anindita Adikaputri

doi:10.1109/isitia.2016.7828629

Cited by 1 publication

(2 citation statements)

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“…Adanya keterbatasan ini, diperlukan cara yang lebih efektif dan efisien. Penelitian baru dengan memanfaatkan sinyal campuran terus dikembangkan untuk mendeteksi intensitas dan arah sumber bunyi [1][2][3].…”

Section: Pendahuluanunclassified

“…Proses lokalisasi dilakukan dengan memanfaatkkan 4 sumber bunyi yang terdiri dari 2 sinyal hasil rekaman pidato (orasi), musik, dan pure tone. Metode yang diusulkan dapat mengestimasi jumlah dan arah sumber bunyi pada skala laboratorium [3]. Penelitian lain dilakukaan oleh Zhang, dengan menggunakan 2 metode yaitu beamforming dan sound source localization (SSL) untuk melihat performansi dari kedua metode tersebut.…”

Section: Pendahuluanunclassified

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Identifikasi Sumber Bising Berdasarkan Sinyal Campuran dengan Algoritma Minimum Variance Distortionless Response Weighted (MVDRW) pada Mesin Kompresor

Vinaya

Aviva

Prasetyo

2019

JRM

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The vibration of the rotating engine can produce mixed sound and noise. The purpose of this study is to localize the noise sources by using mixed signals. The angular spectrum method with the Minimum Variance Distortionless Response Weighted (MVDRW) algorithm was used in this study. The mixed signal recording of a compressor engine with turbine drive was performed in this study. The mixed signal consists of 3 sources that produced from some parts of the compressor engine in the real plant. The experimental set results, at a distance of 60 cm, there are 3 noise sources that located at 44 °, 99 °, and 151 ° of the axis with different spatial positions 1 ° at source 1, 1 ° at source 2, and 1 ° at source 3 of the experimental set Based on the results, the noise source on the compressor component is at source 2, the opposite side turbine.

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Section: Pendahuluanunclassified