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

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

Multi-Source TDOA estimation using SNR-based angular spectra

Revised version including bugfixes in SNR-APR, SNR-MVDRW and MUSIC and in Figures 1 and 2 compared to the original version published by the IEEE.International audienceThis paper deals with the localization of multiple sources from two-channel mixtures recorded in a reverberant environment. We introduce new angular spectrum-based methods relying on the signal-to-noise ratio (SNR) to estimate the time difference of arrival (TDOA) of each source. We propose and compare five ways of estimating the SNR in each time-frequency point and in each direction, using beamforming techniques and statistical models. Large-scale evaluation considering a high number of situations shows the effectiveness of the proposed approach compared to state-of-the-art angular spectrum-based techniques