Analysis of signal characteristics from rock drilling based on vibration and acoustic sensor approaches-Reference-Cited by-同舟云学术

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Analysis of signal characteristics from rock drilling based on vibration and acoustic sensor approaches

Published:2018-11 Issue: Volume:140 Page:275-282
ISSN:0003-682X
Container-title:Applied Acoustics
language:en
Short-container-title:Applied Acoustics

Author:

Qin Min,Wang Kai,Pan Kai,Sun Tianxi,Liu Zhiguo

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Shandong Provincial Natural Science Foundation

School Project

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics

Reference26 articles.

1. Lithology and mineralogy recognition from geochemical logging tool data using multivariate statistical analysis;Konaté;Appl Radiat Isot,2017

2. The vibration monitoring methods and signal processing techniques for structural health monitoring: a review;Goyal;Arch Comput Methods Eng,2016

3. A borehole collision recognition method based on the time statistical characteristics;Liu;J China Univ Pet,2016

4. Measurement and processing of vibro-acoustic signal from the process of rock disintegration by rotary drilling;Flegner;Measurement,2014

5. Acoustic identification of rocks during drilling process;Zborovjan;J Acta Montanistica Slovaca,2003

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1. A smart look at monitoring while drilling (MWD) and optimizing using acoustic emission technique (AET);Scientific Reports;2024-08-26

2. Deep learning-based rock type identification using drill vibration frequency spectrum images;International Journal of Mining, Reclamation and Environment;2024-06-28

3. Enhancing Interpretability in Drill Bit Wear Analysis through Explainable Artificial Intelligence: A Grad-CAM Approach;Applied Sciences;2024-04-25

4. Intelligent real-time perception method for rock strength based on vibration and power fusion characteristics;Measurement;2024-02

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