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PRA5.T6 Technical diagnostics, measurement systems in industry and environmental protection, maintenance systems

POB5.T6 Technical diagnostics and maintenance systems,
measurement systems in industry and environmental protection,
POB5.T6 Technical diagnostics and maintenance systems,
measurement systems in industry and environmental protection,
POB5.T6 Technical diagnostics and maintenance systems,
measurement systems in industry and environmental protection,
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Scientists of the Silesian University of Technology (SUT) have been carrying out research into advanced methods of diagnostics of machines, devices and industrial processes for many years. A lot of the solutions developed in the Silesian University of Technology have been successfully implemented in industrial conditions. It is worth mentioning that the new technologies currently presented as part of the Industry 4.0 concept were created much earlier at universities, including the Silesian University of Technology, where they have been developed for years, e.g. methods of automatic inference and prediction of the technical condition of various classes of objects.

Diagnostic methods developed and implemented in the industry often use artificial intelligence and soft computing algorithms. The aim of the research is also to create and develop innovative solutions in the field of algorithms for real data analysis and estimating measurement uncertainty. This area also includes issues related to the analysis of complex chromatographic and spectrometric signals, the analysis of machine vibration signals, the use of active and passive thermovision, image processing for technical diagnostics of machines and calibration algorithms for measuring instruments and devices. The developed solutions are implemented on the AGV and AMR industrial platforms and in embedded systems for testing components at any stage of the production process, as well as for final product testing (In-Line and End of Line Testers). Acquisition and processing of measurement data are carried out with the use of programming environments such as Visual C ++ / C #, MATLAB, Python, LabVIEW.

The results of the research are discussed at international conferences and published in reputable journals from the JCR list. The conducted applied research and development works were carried out in cooperation with industrial partners and were financed from the NCBiR funds, as well. Publications in national and international scientific and industry journals as well as books confirm the commitment of our scientists to popularizing modern technologies in the field of technical diagnostics.

Scientists of the Silesian University of Technology (SUT) have been carrying out research into advanced methods of diagnostics of machines, devices and industrial processes for many years. A lot of the solutions developed in the Silesian University of Technology have been successfully implemented in industrial conditions. It is worth mentioning that the new technologies currently presented as part of the Industry 4.0 concept were created much earlier at universities, including the Silesian University of Technology, where they have been developed for years, e.g. methods of automatic inference and prediction of the technical condition of various classes of objects.

Diagnostic methods developed and implemented in the industry often use artificial intelligence and soft computing algorithms. The aim of the research is also to create and develop innovative solutions in the field of algorithms for real data analysis and estimating measurement uncertainty. This area also includes issues related to the analysis of complex chromatographic and spectrometric signals, the analysis of machine vibration signals, the use of active and passive thermovision, image processing for technical diagnostics of machines and calibration algorithms for measuring instruments and devices. The developed solutions are implemented on the AGV and AMR industrial platforms and in embedded systems for testing components at any stage of the production process, as well as for final product testing (In-Line and End of Line Testers). Acquisition and processing of measurement data are carried out with the use of programming environments such as Visual C ++ / C #, MATLAB, Python, LabVIEW.

The results of the research are discussed at international conferences and published in reputable journals from the JCR list. The conducted applied research and development works were carried out in cooperation with industrial partners and were financed from the NCBiR funds, as well. Publications in national and international scientific and industry journals as well as books confirm the commitment of our scientists to popularizing modern technologies in the field of technical diagnostics.

Coordinator

dr hab. inż. Piotr Przystałka, prof. PŚ
piotr.przystalka@polsl.pl

Coordinator

dr hab. inż. Piotr Przystałka, prof. PŚ
piotr.przystalka@polsl.pl

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