Radial Hilbert transform for phase retrieval using two-wavelength three-frame phase-shifting interferometry

Xu, Yuanyuan; Shen, Qibao; Jin, Weifeng; Guang-wei, Peng; Chen, Lu; Wang, Yawei; Liu, Zhaomin; Zhang, Lingxuan

doi:10.1016/j.optlaseng.2019.105846

Cited by 11 publications

(1 citation statement)

References 23 publications

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“…Therefore, it is necessary to carry out regular stop inspection to check whether the hob in the tool system fails. However, manual inspection of the failure hob takes too long, prolongs the construction time and seriously affects the construction efficiency [1].…”

Section: Introductionmentioning

confidence: 99%

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

Xu,

Hu,

Yang

et al. 2023

FCIS

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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.

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Section: Introductionmentioning

confidence: 99%