設計工学・システム部門講演会講演論文集
Online ISSN : 2424-3078
会議情報
1105 RBFN を用いたディーゼルエンジンの故障予測
宇都宮 大和荒川 雅生木村 信行岸本 俊彦田中 泰明石川 浩
著者情報
会議録・要旨集 フリー

p. 21-24

詳細
抄録
In this paper, we will develop prediction system of accident of the system by using radius basis function network (RBFN). In monitoring the machine, although it is connected on line, it is sometimes difficult to store or transfer all data that it corrects. In stochastic way of doing diagnosis, they need continuous data to find mean value and standard deviation. Beside that it has no meaning when data has two steady states. However, in our system, we can express situation of steady states even if they have more than two steady states. By using actual data, we will show the effectiveness of the proposed method.
著者関連情報
© 2003 一般社団法人 日本機械学会
前の記事 次の記事
feedback
Top