Sensors, Vol. 24, Pages 2631: SSFLNet: A Novel Fault Diagnosis Method for Double Shield TBM Tool System

Sensors, Vol. 24, Pages 2631: SSFLNet: A Novel Fault Diagnosis Method for Double Shield TBM Tool System
Sensors doi: 10.3390/s24082631
Authors:
Peng Zhou
Chang Liu
Jiacan Xu
Dazhong Ma
Zinan Wang
Enguang He

In tunnel boring projects, wear and tear in the tooling system can have significant consequences, such as decreased boring efficiency, heightened maintenance costs, and potential safety hazards. In this paper, a fault diagnosis method for TBM tooling systems based on SAV−SVDD failure location (SSFL) is proposed. The aim of this method is to detect faults caused by disk cutter wear during the boring process, which diminishes the boring efficiency and is challenging to detect during construction. This paper uses SolidWorks to create a complete three−dimensional model of the TBM hydraulic thrust system and tool system. Then, dynamic simulations are performed with Adams. This helps us understand how the load on the propulsion hydraulic cylinder changes as the TBM tunneling tool wears to different degrees during construction. The hydraulic propulsion system was modeled and simulated using AMESIM software. Utilizing the load on the hydraulic propulsion cylinder as an input signal, pressure signals from the two chambers of the hydraulic cylinder and the system’s flow signal were acquired. This enabled an in−depth exploration of the correlation between these acquired signals and the extent of the tooling sys...

Source: Sensors - April 20, 2024 Category: Biotechnology Authors: Peng Zhou Chang Liu Jiacan Xu Dazhong Ma Zinan Wang Enguang He Tags: Article Source Type: research