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

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

Internet

https://www.mdpi.com/1424-8220/24/22/7316

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