Separation of the Sound Power Spectrum of Multiple Sources by Three-Dimensional Sound Intensity Decomposition

Autor:	Xing Wu, Xiaoqin Liu, Yanjiao Xiong, Chai Shiyi
Rok vydání:	2021
Předmět:	Letter Computer science Frequency band spectrum separation condition monitoring Acoustics Sound intensity probe Industrial noise 02 engineering and technology lcsh:Chemical technology 01 natural sciences Biochemistry three-dimensional sound intensity Line array Analytical Chemistry 0103 physical sciences 0202 electrical engineering electronic engineering information engineering lcsh:TP1-1185 Electrical and Electronic Engineering 010301 acoustics Instrumentation Sound (geography) geography geography.geographical_feature_category particle swarm optimization 020207 software engineering Sound power Sound intensity Atomic and Molecular Physics and Optics Power (physics) sound power Noise Computer Science::Sound
Zdroj:	Sensors, Vol 21, Iss 279, p 279 (2021) Sensors (Basel, Switzerland)
ISSN:	1424-8220
DOI:	10.3390/s21010279
Popis:	The identification and separation of sources are the prerequisite of industrial noise control. Industrial machinery usually contains multiple noise sources sharing same-frequency components. There are usually multiple noise sources in mechanical equipment, and there are few effective methods available to separate the spectrum intensity of each sound source. This study tries to solve the problem by the radiation relationship between three-dimensional sound intensity vectors and the power of the sources. When the positions of the probe and the sound source are determined, the sound power of the sound source at each frequency can be solved by the particle swarm optimization algorithm. The solution results at each frequency are combined to obtain the sound power spectrum of each sound source. The proposed method is first verified by a simulation on two point sources. The experiment is carried out on a fault simulation test bed in an ordinary laboratory; we used three three-dimensional sound intensity probes to form a line array and conducted spectrum separation of the nine main noise sources. The sound intensity on the main frequency band of each sound source was close to the result of the near-field measurement of the one-dimensional sound intensity probe. The proposed spectral separation method of the sound power of multiple sound sources provides a new method for accurate noise identification in industrial environments.
Databáze:	OpenAIRE
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