Loose rock detection methods for automating the scaling process

Author:

Radl Alexandra1ORCID,Mitra Rudrajit1ORCID,Clausen Elisabeth1ORCID

Affiliation:

1. Institute for Advanced Mining Technologies, RWTH Aachen University, Aachen, Germany

Publisher

Informa UK Limited

Subject

Geology,Geotechnical Engineering and Engineering Geology

Reference19 articles.

1. Low frequency sounding technique for predicting progressive failure of rock

2. Brink S. 2015. Development of an acoustic classification system for predicting rock structural stability [Dissertation]. Stellenbosch University.

3. Clausen E, Soerensen A, Uth F, Mitra R, Lehnen F, Schwarze B. 2020. Assessment of the effects of global digitalization trends on sustainability in mining - part I: digitalization processes in the mining industry in the context of sustainability. Commissioned by: Bundesanstalt für Geowissenschaften und Rohstoffe (Federal Institute for Geosciences and Natural Resources), ISBN: 978-3-948532-14-7

4. [accessed 2022 March 21]. https://www.bgr.bund.de/EN/Themen/Min_rohstoffe/Downloads/digitalization_mining_dustainability_part_I_en.html.

5. Green JJ, Hlophe K, Dickens J, Teleka R, Price M. 2011. Mining robotics sensors. 26th International Conference of CAD/CAM, Robotics & Factories of the Future (CARs&FOF 2011); July 26–28; Kuala Lumpur, Malaysia.

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