Abstract

Thermovision is more and more often used in machinery and apparatus diagnostics. There are different methods of evaluation of technical state on the basis of thermovision measurements. One of commonly applied are single or cyclic thermovision inspections. Another effective method is diagnosing of machinery during continuous monitoring of machines and devices. In both cases an thermogaphical image is a source of diagnostic information which can be extracted with the use of different methods of image analysis. In the article a way of machinery diagnosing on the basis of its continuous observation was presented. Verification of the proposed idea was carried out on the basis of data acquired during an active diagnostic experiment performed in the laboratory. Acquired images were analyzed and a huge set of obtained features was limited. In order to confirm whether the estimated features were optimal and the proposed idea could find application in machinery diagnostics classifications of known technical states were conducted.

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