Damage Diagnosis of Drill Bit while Drilling using Wavelet Transform Analysis

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....

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Bibliographic Details
Main Author: Jang, Hyong Doo
Format: Journal Article
Language:Korean
Published: Korean Society of Explosives and Blasting Engineering 2020
Subjects:
Online Access:https://www.koreascience.or.kr/article/JAKO202010060597294.page
http://hdl.handle.net/20.500.11937/78706
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author Jang, Hyong Doo
author_facet Jang, Hyong Doo
author_sort Jang, Hyong Doo
building Curtin Institutional Repository
collection Online Access
description 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.
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institution Curtin University Malaysia
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language Korean
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publishDate 2020
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spelling curtin-20.500.11937-787062020-09-03T06:35:02Z Damage Diagnosis of Drill Bit while Drilling using Wavelet Transform Analysis Jang, Hyong Doo 0914 - Resources Engineering and Extractive Metallurgy 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. 2020 Journal Article http://hdl.handle.net/20.500.11937/78706 10.22704/ksee.2020.38.1.014 Korean https://www.koreascience.or.kr/article/JAKO202010060597294.page Korean Society of Explosives and Blasting Engineering unknown
spellingShingle 0914 - Resources Engineering and Extractive Metallurgy
Jang, Hyong Doo
Damage Diagnosis of Drill Bit while Drilling using Wavelet Transform Analysis
title Damage Diagnosis of Drill Bit while Drilling using Wavelet Transform Analysis
title_full Damage Diagnosis of Drill Bit while Drilling using Wavelet Transform Analysis
title_fullStr Damage Diagnosis of Drill Bit while Drilling using Wavelet Transform Analysis
title_full_unstemmed Damage Diagnosis of Drill Bit while Drilling using Wavelet Transform Analysis
title_short Damage Diagnosis of Drill Bit while Drilling using Wavelet Transform Analysis
title_sort damage diagnosis of drill bit while drilling using wavelet transform analysis
topic 0914 - Resources Engineering and Extractive Metallurgy
url https://www.koreascience.or.kr/article/JAKO202010060597294.page
http://hdl.handle.net/20.500.11937/78706