Feature Extraction Algorithm of Cutter Head Pressure Signal based on Stack Auto-encoder

Abstract

Tool system wear is one of the common faults affecting TBM system tunneling. In order to simulate the operation of the TBM tool system, judge its failure state, and locate the failure area of the hob, this paper designed the simulation experiment platform of the TBM tool system, and obtained the pressure signal of the tool plate when the tool plate is running through the experiment platform, and proposed the pressure feature extraction algorithm for the cutter head of the TBM tool system, so as to judge the failure state of the cutter head system and locate the failure area. Experimental results show that the cutter head pressure feature extraction and failure location algorithm proposed in this paper can effectively identify the cutter head region where the failure hob is located, and improve the efficiency of cutter head maintenance in the process of TBM tunneling.