Explosives and Blasting (화약ㆍ발파)

Korean Society of Explosives and Blasting Engineering (대한화약발파공학회)
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Damage Diagnosis of Drill Bit while Drilling using Wavelet Transform Analysis

웨이블릿 변환 분석을 이용한 천공 중 드릴 비트의 손상 진단

  • Jang, Hyongdoo (Western Australian School of Mines: Minerals, Energy and Chemical Engineering, Curtin University)
  • Received : 2020.02.03
  • Accepted : 2020.02.25
  • Published : 2020.03.31
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Abstract

Bit damage is one of the primary causes of decreasing drilling efficacy. Nevertheless the management of bit ware and failure are often left for field engineers' experience. Thus it is imperative to establish a proper system to predict and manage the bit damage during the rock drilling process. In this study, the drilling sound signal has been recorded and analyzed using wavelet transform analysis to identify the exact moment of bit failure. Through the analysis wavelet time-frequency spectrums have been constructed and an abnormal point has been identified with 0.9 of wavelet transform value at the 652.8s on a frequency band around 500Hz. Furthermore it is also observed that the penetration rate of the damaged bit has been decreased to 23mm/s which is 9mm/sec lower than the average of undamaged bit. The study verifies that wavelet transform analysis can be used to build a system to diagnose the bit damage while drilling.

천공 중 비트의 손상은 천공 효율을 떨어뜨리는 주요 원인이다. 현재 천공 중 비트의 마모와 손상에 대한 관리는 현장 작업자의 기술에 의지하고 있어 이를 예측하고 관리하는 시스템의 구축이 시급하다. 비트의 정확한 손상 시점을 판단하기 위해 천공 중 발생하는 소음 자료를 이용해 웨이블릿 변환 분석을 하였다. 이를 통해 얻은 시간-주파수 스펙트럼을 분석한 결과 천공 후 652.8 sec에 주파수 500 Hz 구간에서 웨이블릿 변환 값이 0.9로 최대치가 되는 이상점을 확인하였다. 또한, 천공 속도 분석을 통해 이상치가 발견된 후 천공 속도가 평균인 32 mm/s 보다 9 mm/s 줄어든 것을 확인하였다. 이러한 결과를 통해 웨이블릿 변환 분석을 이용해 천공 중 드릴 비트의 손상을 진단할 수 있음을 보였다.

Keywords

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