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2020 | OriginalPaper | Chapter

Development of an Automated System for Monitoring and Diagnostics a Guided Robotic Vehicle

Authors : Alexander Bazhanov, Roman Vashchenko, Vasily Rubanov, Olga Bazhanova

Published in: Cyber-Physical Systems: Advances in Design & Modelling

Publisher: Springer International Publishing

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Abstract

This research considers the development of an automated system for monitoring and diagnostics of a controlled robotic vehicle. This system is based on an algorithmic approach performed by creating models in the form of fuzzy behavior charts. A key feature is the ability to represent a continuous change in time as a set of modes. While decomposing the diagnostics object (a robotic vehicle), there were created models of its main nodes in the form of fuzzy behavior charts of the second rank. For the diagnostics of the selected nodes, there were considered all possible faults, which also was compared with those ones that can be traced using the created models. Based on the tables of possible malfunctions of the electric motor, the battery, and the infrared proximity sensor, there was obtained a list of malfunctions and abnormal situations that can be organized in the knowledge base structure. Analysis of fault tables allowed developing the structure of an automated system for monitoring and diagnostics of abnormal and emergency situations. The obtained results (models and algorithms) were used to create a software product.

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Metadata
Title
Development of an Automated System for Monitoring and Diagnostics a Guided Robotic Vehicle
Authors
Alexander Bazhanov
Roman Vashchenko
Vasily Rubanov
Olga Bazhanova
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-32579-4_8

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