4.6 Article

Identification of Impact Frequency for Down-the-Hole Drills Using Motor Current Signature Analysis

期刊

APPLIED SCIENCES-BASEL
卷 13, 期 8, 页码 -

出版社

MDPI
DOI: 10.3390/app13084650

关键词

impact frequency; motor current signature analysis; DTH drilling; hammer pressure; frequency side bands; signal envelope; measurement while drilling

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This paper presents a novel study using motor current signature analysis (MCSA) to identify impact frequency in rotary-percussion drilling. The envelope approach is found to be the most robust method for real-time implementation, offering simplicity and wide coverage. The proposed MCSA methods show feasibility to be integrated into Measurement-While-Drilling (MWD) systems, enhancing drilling condition monitoring and rock mass characterization.
In rotary-percussion drilling, the impact frequency is a crucial variable that is closely linked to operational factors that determine the efficacy of the drilling process, such as the rate of penetration, bit wear, and rock mass characteristics. Typical identification methods rely on complex simulation models or the analysis of different sensor signals installed on specially adapted setups, which are difficult to be implemented in the field. This paper presents a novel study where the impact frequency is identified by motor current signature analysis (MCSA) applied to an induction motor driving a DTH drilling setup. The analysis of the case study begins with the definition of characteristic drilling stages where the pressure and sound signals allow the detection of an impact frequency of 14.10 Hz, which is then used as a reference to validate three MCSA identification approaches. As a result of the analysis, the envelope approach is the most robust for nearly real-time implementations considering its simplicity and range of coverage. Experimental results provide evidence about the feasibility of the proposed MCSA methods to be integrated into Measurement-While-Drilling (MWD) systems to improve drilling condition monitoring and rock mass characterization.

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