Vibration-based Monitoring of Interactions at Cutting Wheel – Detecting Wear (C07#)

• Subject Area: Structural Engineering, Building Informatics and Construction Operation
• Term: from 2019 to 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 77309832

Subproject C7 develops a monitoring system to detect and identify wear and damages at the cutting wheel during the cutting process using vibration-based features to enable efficient use of tunnel boring machines. Using numerical models with different level of detail as well as experimental investigations, different causes of vibration are analyzed, and data is generated for the data-based analysis of the cutting wheel. For the specific application, methods of pattern recognition and novelty detection are applied and adapted to ultimately enable the monitoring of disk wear, based on data of the undamaged state.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 837: Interaction Modelling in Mechanised Tunnelling
• Applicant Institution: Ruhr-Universität Bochum
• Project Head: Professorin Dr.-Ing. Inka Mueller