Fuzzy rules intelligent car real-time diagnostic system

被引：0
|
作者：
Zielonka, Adam [1 ]
Sikora, Andrzej [2 ]
Wozniak, Marcin [1 ]
机构：
[1] Silesian Tech Univ, Fac Appl Math, Kaszubska 23, PL-44100 Gliwice, Poland
[2] Silesian Tech Univ, Fac Elect Engn, B Krzywoustego 2, PL-44100 Gliwice, Poland
来源：
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 2024年 / 135卷
关键词：
Fuzzy rules; Control system; Frequency analysis; Smart car; IoT;
D O I：
10.1016/j.engappai.2024.108648
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页数：16
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