TAILIEUCHUNG - Recent Advances in Mechatronics - Ryszard Jabonski et al (Eds) Episode 1 Part 8

Tham khảo tài liệu 'recent advances in mechatronics - ryszard jabonski et al (eds) episode 1 part 8', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 264 M. Fidali 2. Analysis of thermographic images During continuous object observation with the use of a thermographic device a sequence of thermographic images in time t can be recorded. On the basis of acquired series of thermograms multidimensional thermographical signal ST T x y t can be defined. If we consider a concept of conventional real time partition into micro dynamic and macro exploata-tion time 1 often applied in diagnostics then a thermographic signal can be definied in these both domains. Taking into account micro and macro time concepts analysis process of thermographic signals can be divided into two stages. The first stage is connected with thermogram analysis and feature estimation. It enables determination of diagnostic signals in micro and or macro time. The second stage of analysis refers to analysis of diagnostic signals which were determined at the first stage. For this purposes classical signal analysis methods can be applied. In the article the first stage of analysis of thermographic signal was presented. At this stage the most important task is analysis of thermogram series and acquisition of diagnostic features. Features are necessary for determination of diagnostic signals and thus a machine technical state. Two simple methods of thermograms analysis were proposed. Common operation which was applied in both methods was the application of thresholding and estimation of binary images with the use of a measure of an area above the threshold level which was established experimentally. The measure area was treated as a diagnostic feature and a diagnostic signal was built on the basis of its values. Thresholding was applied to two kinds of images in the first method recorded thermograms were directly thresholded in the second method an image of magnitude of Fourier spectra determined from recorded thermograms with the use of 2D Fourier transform were thresholded and estimated. In order to verify proposed methods of analysis of thermogram .

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