Engine Fault Detection by Sound Analysis and Machine Learning

Traditional vehicle fault diagnosis methods rely heavily on the expertise of mechanics or diagnostic tools available at service centers, which can be costly, time-consuming, and may not always provide accurate results. This study presents a comprehensive vehicle fault diagnosis framework, which util...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Ferit Akbalık, Abdulnasır Yıldız, Ömer Faruk Ertuğrul, Hasan Zan
Format:	Article
Language:	English
Published:	MDPI AG 2024-07-01
Subjects:	vehicle fault detection extreme learning machines mel-frequency cepstral coefficients wavelet transform
Online Access:	https://www.mdpi.com/2076-3417/14/15/6532