Main marine engine fault diagnosis method based on rough set theory and optimized DAG-SVM

Main marine engine fault diagnosis method based on rough set theory and optimized DAG-SVM

<b>Objectives</b> Complicated non-linear relationships exist among the subsystems of a ship's main engine. For a large amount of data collected by monitoring points in a short time, the traditional fault diagnosis method cannot efficiently complete the task. Taking the fuel system o...

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Bibliographic Details
Main Authors: LIU Guoqiang, LIN Yejin, ZHANG zhizheng, PANG Shui
Format: Article
Language:English
Published: Editorial Office of Chinese Journal of Ship Research 2020-02-01
Series:Zhongguo Jianchuan Yanjiu
Subjects:
rough set attribute reduction
support vector machine (svm)
directed acyclic graph-support vector machine (dag-svm)
marine main engine
fault diagnosis
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