Audio-Based Engine Fault Diagnosis with Wavelet, Markov Blanket, ROCKET, and Optimized Machine Learning Classifiers

Engine fault diagnosis is a critical task in automotive aftermarket management. Developing appropriate fault-labeled datasets can be challenging due to nonlinearity variations and divergence in feature distribution among different engine kinds or operating scenarios. To solve this task, this study e...

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Bibliographic Details
Main Authors:	Bernardo Luis Tuleski, Cristina Keiko Yamaguchi, Stefano Frizzo Stefenon, Leandro dos Santos Coelho, Viviana Cocco Mariani
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Series:	Sensors
Subjects:	machine learning classifiers Markov blanket random convolutional kernel transform (ROCKET) time-series classification wavelet packet transform
Online Access:	https://www.mdpi.com/1424-8220/24/22/7316
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Audio-Based Engine Fault Diagnosis with Wavelet, Markov Blanket, ROCKET, and Optimized Machine Learning Classifiers

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