Engine Fault Detection by Sound Analysis and Machine Learning
Ferit Akbalık,
Abdulnasır Yıldız,
Ömer Faruk Ertuğrul
et al.
Abstract: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 utilized Mel-Frequency Cepstral Coefficients (MFCCs), Discrete Wavelet Transform (DWT)-based features, and the Extreme Learning Machine (ELM) classifier. To address the limitations of previous works, the proposed framew… Show more
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