Z
Zielonka, Adam
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Fuzzy rules intelligent car real-time diagnostic system

Abstract

Advanced collaborative technologies for Artificial Intelligence of Things (AIoT) play main role in the development of smart technologies. In this article we present research results on the development of novel complex type -2 fuzzy control system to help in real-time measuring and diagnostic of vibration, temperature and air quality for optimal car driving. Real-time information allows the driver to be informed about the possibility of a potential failure. It gives a chance to avoid failure and related consequences. The paper presents both theoretical aspects of applied type -2 fuzzy control and practical constructions for sensors, electronics and software implementations to compose a novel control module implemented for car radio systems. The developed system was tested in various driving conditions and results of measurements and predictions were confirmed by the certified car diagnostic station.

article Article
date_range 2024
language English
link Link of the paper
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Z
Zielonka Adam
S
Sikora Andrzej
W
Wozniak Marcin
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Featured Keywords
Fuzzy rules
Control system
Frequency analysis
Smart car
IoT
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