An Intelligent Method for Tbm Surrounding Rock Classification Based on Time Series Segmentation of Rock-Machine Interaction Data
SSRN Electronic Journal(2023)
摘要
•A time series segmentation method (APCA) was presented for extracting stable rock-machine interaction data.•A novel deep clustering model (SSAE-FCM) focus on operational parameters was proposed.•A surrounding rock classification suitable for TBM was obtained.•The superiority of the proposed method and the importance of the selected features were discussed.
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关键词
Tunnel boring machine, Classification of rock mass quality, Perception of surrounding rock conditions, Time series segmentation, Deep clustering
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