Development of smart car intelligent wheel hub bearing embedded system using predictive diagnosis algorithm (예측 진단 알고리즘을 이용한 스마트 카 지능형 휠 허브 베어링 임베디드 시스템 개발)

Sam-Taek Kim (김삼택)

doi:10.9708/jksci.2023.28.10.001

Development of smart car intelligent wheel hub bearing embedded system using predictive diagnosis algorithm

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2023, 28(10), pp.1-8
DOI : 10.9708/jksci.2023.28.10.001
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : September 15, 2023
Accepted : October 12, 2023
Published : October 31, 2023

Sam-Taek Kim ¹

¹우송대학교

Accredited

ABSTRACT

If there is a defect in the wheel bearing, which is a major part of the car, it can cause problems such as traffic accidents. In order to solve this problem, big data is collected and monitoring is conducted to provide early information on the presence or absence of wheel bearing failure and type of failure through predictive diagnosis and management technology. System development is needed. In this paper, to implement such an intelligent wheel hub bearing maintenance system, we develop an embedded system equipped with sensors for monitoring reliability and soundness and algorithms for predictive diagnosis. The algorithm used acquires vibration signals from acceleration sensors installed in wheel bearings and can predict and diagnose failures through big data technology through signal processing techniques, fault frequency analysis, and health characteristic parameter definition. The implemented algorithm applies a stable signal extraction algorithm that can minimize vibration frequency components and maximize vibration components occurring in wheel bearings. In noise removal using a filter, an artificial intelligence-based soundness extraction algorithm is applied, and FFT is applied. The fault frequency was analyzed and the fault was diagnosed by extracting fault characteristic factors. The performance target of this system was over 12,800 ODR, and the target was met through test results.

KEYWORDS

Autonomous vehicle, Intelligent vehicle monitoring, Wheel bearing failure diagnostic module, Fault diagnosis prediction algorithm, analysis, Vibration analysis

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Development of smart car intelligent wheel hub bearing embedded system using predictive diagnosis algorithm

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Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Development of smart car intelligent wheel hub bearing embedded system using predictive diagnosis algorithm

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.