Real-Time Prediction of Disc Cutter Wear in Low-Abrasive Rocks: Integrating Physico-Mechanical Properties and Signal Processing Features Through Machine Learning Methods-Reference-Cited by-同舟云学术

Real-Time Prediction of Disc Cutter Wear in Low-Abrasive Rocks: Integrating Physico-Mechanical Properties and Signal Processing Features Through Machine Learning Methods

Published:2024-07-23 Issue: Volume: Page:
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Akhlaghi Mohammad Amir,Bagherpour Raheb^ORCID,Hoseinie Seyed Hadi

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s13369-024-09321-x.pdf

Reference52 articles.

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4. Fang, Y.; Yao, Z.; Xu, W.; Tian, Q.; He, C.; Liu, S.: The performance of TBM disc cutter in soft strata: A numerical simulation using the three-dimensional RBD-DEM coupled method. Eng Fail Anal (2021). https://doi.org/10.1016/j.engfailanal.2020.104996

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