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SIGNAL ANALYSIS FOR PERFORMANCE MONITORINGOF DRILLING WITH DOWN THE HOLE (DTH) ROCK DRILLS
Atlas Copco.
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
2015 (English)In: PROCEEDINGS OF THE 22ND INTERNATIONAL CONGRESS ON SOUND AND VIBRATION: MAJOR CHALLENGES IN ACOUSTICS, NOISE AND VIBRATION RESEARCH, 2015, INT INST ACOUSTICS & VIBRATION , 2015Conference paper, Published paper (Other academic)
Abstract [en]

Today rock drilling operations mainly relies on the experience of the operators. Expe-rienced drillers observes the sound produced by the drilling machinery and in general, base their judgments on their intuition. An efficient drill monitoring system, providing reliable and robust in-formation on the performance of the drilling process, is likely to provide experienced drillers with additional information, to further improve the drilling process. Such a system is also likely to provide guidance to inexperienced drillers to improve their drilling performance concerning quality and efficiency. To enable monitoring of drilling performance in down the hole (DTH) rock drilling, simultaneous measurements of vibrations, with the aid of accelerometers mounted at specific locations on the drill rig, and other quantities such as different line pressures controlling different movements of the drill string are considered in combination with suit-able signal processing methods. A number of properties, e.g. spectral properties, of the vibration sig-nals and the pressure line signals under good drilling and bad drilling conditions are compared. Both the vibration and pressure signals display distinguishable properties between the case of "good" drill-ing and the case of "bad" drilling.

Place, publisher, year, edition, pages
INT INST ACOUSTICS & VIBRATION , 2015.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:bth-11951ISI: 000398997002091ISBN: 978-88-88942-48-3 (print)OAI: oai:DiVA.org:bth-11951DiVA: diva2:932418
Conference
22nd International Congress on Sound and Vibration (ICSV), Florence
Available from: 2016-06-01 Created: 2016-06-01 Last updated: 2017-06-19Bibliographically approved

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