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http://dx.doi.org/10.15207/JKCS.2020.11.11.047

A Study on Sensor Module and Diagnosis of Automobile Wheel Bearing Failure Prediction  

Hwang, Jae-Yong (Mobidigm, co.)
Seol, Ye-In (NemoBlue, co.)
Publication Information
Journal of the Korea Convergence Society / v.11, no.11, 2020 , pp. 47-53 More about this Journal
Abstract
There is a need for a system that provides early warning of presence and type of failure of automobile wheel bearings through the application of predictive fault analysis technologies. In this paper, we presented a sensor module mounted on a wheel bearing and a diagnostic system that collects, stores and analyzes vehicle acceleration information and vibration information from the sensor module. The developed sensor module and predictive analysis system was tested and evaluated thorough excitation test equipment and real automotive vehicle to prove the effectiveness.
Keywords
Predictive fault analysis; Automotive sensor module; MEMS sensor; CAN FD; Embedded system;
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Times Cited By KSCI : 1  (Citation Analysis)
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