Application of signal preprocessing and blind source separation to sound power mesurement of machines
Different standards to measure the sound power of a machine can be chosen. Historically, in a place with extremely loud background noise, the intensity standard (UNE-EN ISO 9614-X) has been used because there is not enough signal-to-noise relation for the pressure method (UNE-EN ISO
374x). Nevertheless, in some cases, the interfering intensity will make the measurement impossible. To solve this problem for both techniques, a new methodology based on the use of blind source separation algorithms is proposed in order to allow an estimation of the signals of the primary
sources from some mixed signals and, therefore, to calculate the sound power of the machine of interest. To make the estimated signals as similar as possible to the real signals of the machine under test, different preprocessing techniques (FFT, DCT, cepstrum or wavelets) have been used before
the blind source separation algorithms. Once the tests have been conducted for every machine, it is possible to establish at least one process, or combination to obtain results similar to those obtained using the international standards. Finally, since the signals can be scaled at the output
of the blind source separation algorithms, one possible signal correction scheme is analyzed.
Document Type: Research Article
Affiliations: Universidad de Castilla - La Mancha
Publication date: 01 November 2016
NCEJ is a peer reviewed Technical journal published every two months. The papers published in NCEJ cover general topics related to noise control engineering, ranging from fundamental research to applied case studies and histories.
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