Evaluating the Performance of Generative Adversarial Network, Synthetic Minority Oversampling Technique, and Adaptive Synthetic Sampling in Marine Diesel Engine Fault Diagnosis using Vibration Data

Machine learning-driven fault diagnosis of marine diesel engines is a major research focus, challenged by scarce, insufficient fault data. This study explores vibration data under five conditions: normal operation, single-cylinder ignition failure, piston ring wear, nozzle blockage, and exhaust valv...

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Bibliografische gegevens

Hoofdauteurs:	Zhijun Chen, Ziyu Xiao, Zhongjun Wang, Pengcheng Wang, Jie Wang, Yijie Qu, Xiong Bao, Xiaofeng Guo
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Engineered Science Publisher LLC 2025-08-01
Reeks:	Engineered Science
Onderwerpen:	fault diagnosis marine diesel engine data augmentation gan smote adasyn
Online toegang:	https://www.espublisher.com/journals/articlehtml/engineered-science/10.30919-es1696
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