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...

Full description

Bibliographic Details

Published in:	Journal of Engineering and Applied Science
Main Authors:	Mohamed H. Abdelati, M. Mourad, Al-Hussein Matar, M. Rabie
Format:	Article
Language:	English
Published:	SpringerOpen 2025-08-01
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