Enhanced engine misfire diagnosis through integration of vibration and acoustic emission signals using artificial neural networks

Enhanced engine misfire diagnosis through integration of vibration and acoustic emission signals using artificial neural networks

Abstract An accurate Engine Misfire Detection diagnosis ensures the engine runs well and reduces emissions. An ANN has successfully combined vibration and acoustic emission (AE) signals to improve the detection of misfires in engines. The vibration and AE signals obtained during normal use and with...

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Bibliographic Details
Main Authors: Mohamed H. Abdelati, M. Mourad, Al-Hussein Matar, M. Rabie
Format: Article
Language:English
Published: SpringerOpen 2025-08-01
Series:Journal of Engineering and Applied Science
Subjects:
Engine misfire diagnosis
Acoustic emission signals
Vibration signals
Artificial neural network
Predictive maintenance
Online Access:https://doi.org/10.1186/s44147-025-00703-y
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