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The acoustic camera as a tool to identify belt conveyor noises

Bortnowski Piotr, Nowak-Szpak Anna, Ozdoba Maksymilian, Król Robert

Journal of Sustainable Mining

2020

Vol. 19, iss. 4

286--295

This paper explores the possibilities of using an acoustic camera as a tool that allows the verification of the correct construction and operation of individual elements of a belt conveyor. Based on the simultaneously recorded components - a video camera and measuring microphones, the sound pressure level map of the belt conveyor was created. The tests were carried out in laboratory conditions and covered the location and identification of individual noise sources. The verification consists not only of searching for dominant sound sources, but above all, of searching for frequencies in the analysed spectrum that should not occur during their proper operation. The tests allow for the identification of frequencies and the determination of the sound pressure level for three noise sources: the electric motor noise, the idler roll bearing noise as well as the noise on the tail pulley caused by belt misalignment.

Analysis and Classification of Noise Sources of Conveyor Systems by Sound Visualizing on the Postal Package Sorting Line

Liptai Pavol, Lumnitzer Ervín, Moravec Marek, Piňosová Miriama

Advances in Science and Technology. Research Journal

2018

Vol. 12, no 4

172--176

Sound visualization tools are now widely used in industry. As a tool, acoustic cameras are also well- suited for faster identification of errors as well as individual states while operating devices. The aim of this paper was to locate and quantify noise sources on a packet sorting line using an acoustic camera and then to propose noise reduction measures. Localization of noise sources was performed by means of an acoustic camera with a microphone ring array. The result of these measurements and analyses was to sort the individual noise sources from less noisy to the noisiest, which gives a good assumption for better planning of spending on the implementation of noise reduction measures. The outputs of these measurements also give information on the character and frequency composition of the sound of individual sources, which will help out in the design of specific noise measures.