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Robotized Inspection and Diagnostics – Basic Issues

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Advanced Solutions in Diagnostics and Fault Tolerant Control (DPS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 635))

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Abstract

Recently due to increasing complexity of systems existing in real world there is growing demand for inspecting and then diagnosing them. Inspection and diagnostics of large objects, such as galleries of mines affected by catastrophes, large civil engineering objects, airports, railway lines, or even regions of catastrophes, are done mainly by human experts. Unfortunately, experts are often faced with hazards to their lives and health, or simply must carry out long-lasting and boring work. To this end, mobile agents and intelligent systems can significantly improve not only safety of inspectors, but also efficiency of their work.

The paper deals with general issues concerning robotized inspection and diagnostics that consists in replacing human experts by direct acting on the scene of operation, and also by interpreting evidence collected, finding conclusions, and reporting the work. Moreover, several examples are given concerning applications of robotized inspection and diagnostics in contemporary technical systems.

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Notes

  1. 1.

    Application of VT to unmanned mobile systems was originally proposed by Prof. K. Cyran from SkyTech Research Sp. z o.o. and is widely developed and used for controlling mobile systems by the R & D team of this company.

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Acknowledgements

Conceptions presented in the paper have been developed basing on results of research partially financed in the framework of:

– Project of Polish National Centre for Research and Development No. PBS2 /B9/20/2013 “Integrated shell decision support system for systems of monitoring processes, devices and hazards” (Silesian University of Technology);

– Project RFCR-CT-2014-00002 “System for virtual TELEportation of RESCUER for inspecting coal mine areas affected by catastrophic events (TeleRescuer)” partially financed by the Research Fund for Coal and Steel (Silesian University of Technology & SkyTech Research);

– International Co-financed Project No. 3120/FBWS/2014/2 financed by the Ministry for Science and Higher Education (SkyTech Research).

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Correspondence to Wojciech Moczulski .

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Moczulski, W. (2018). Robotized Inspection and Diagnostics – Basic Issues. In: Kościelny, J., Syfert, M., Sztyber, A. (eds) Advanced Solutions in Diagnostics and Fault Tolerant Control. DPS 2017. Advances in Intelligent Systems and Computing, vol 635. Springer, Cham. https://doi.org/10.1007/978-3-319-64474-5_11

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  • DOI: https://doi.org/10.1007/978-3-319-64474-5_11

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