A novel method of combining generalized frequency response function and convolutional neural network for complex system fault diagnosis.

To solve the problem of low accuracy in traditional fault diagnosis methods, a novel method of combining generalized frequency response function(GFRF) and convolutional neural network(CNN) is proposed. In order to accurately characterize system state information, this paper proposed a variable step...

詳細記述

書誌詳細
主要な著者: Lerui Chen, Zerui Zhang, Jianfu Cao
フォーマット: 論文
言語:English
出版事項: Public Library of Science (PLoS) 2020-01-01
シリーズ:PLoS ONE
オンライン・アクセス:https://doi.org/10.1371/journal.pone.0228324