In addition to vibration-based diagnostics, thermal imaging methods are efficiently used to identify the current technical condition of machinery and electrical equipment during their operation without stopping and disassembling. The important direction of vibrating diagnostics' development is development of methods and means of the control of a vibrating condition of high-speed machine tools (the processing centers) and also the machine equipment of locomotives that will allow revealing and eliminating a number of propagating defects in due time, increasing a between-repairs service life. Thermal imaging inspections of electrical equipment with high density of component placement of electric locomotives and diesel locomotives represent a difficult task that reduces the reliability and productivity of diagnostics procedures. In such applications it is difficult to measure the temperature of individual components using thermal images because of low temperature contrast of the scene. In order to solve this problem, a number of algorithms and methods were developed to automatically match the component images from photographic (visible spectrum) and thermal imaging cameras taken synchronously as well as at different time moments. These algorithms are used to develop a computer-aided system for efficient thermal imaging monitoring and diagnostics of equipment improving reliability and productivity of diagnostics procedures. These research results were obtained by members of Laboratory of Technical diagnostics and Mechanics including the authors.
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