Assessing the Condition of Rock Tools through Waveform Analysis Techniques of Rock Drilling Induced Vibration Signals
Detection of precise moment of button failure of a drill bit during a hard rock drilling process is vital to increase the efficiency in drilling. Sound generated during a hard rock drilling process was analysed using waveform analysis techniques. Wavelet transform analysis can detect the exact momen...
| Main Author: | |
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| Format: | Thesis |
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Curtin University
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/48761 |
| _version_ | 1848758113646149632 |
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| author | Hettiarachchi, Don Sameera Wishwajith |
| author_facet | Hettiarachchi, Don Sameera Wishwajith |
| author_sort | Hettiarachchi, Don Sameera Wishwajith |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Detection of precise moment of button failure of a drill bit during a hard rock drilling process is vital to increase the efficiency in drilling. Sound generated during a hard rock drilling process was analysed using waveform analysis techniques. Wavelet transform analysis can detect the exact moment of button failure and the frequency range, which the failure occurred. Wavelet Transform is more effective than Fourier Transform and time series analysis in singularity detection. |
| first_indexed | 2025-11-14T09:38:50Z |
| format | Thesis |
| id | curtin-20.500.11937-48761 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:38:50Z |
| publishDate | 2016 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-487612017-02-27T05:52:27Z Assessing the Condition of Rock Tools through Waveform Analysis Techniques of Rock Drilling Induced Vibration Signals Hettiarachchi, Don Sameera Wishwajith Detection of precise moment of button failure of a drill bit during a hard rock drilling process is vital to increase the efficiency in drilling. Sound generated during a hard rock drilling process was analysed using waveform analysis techniques. Wavelet transform analysis can detect the exact moment of button failure and the frequency range, which the failure occurred. Wavelet Transform is more effective than Fourier Transform and time series analysis in singularity detection. 2016 Thesis http://hdl.handle.net/20.500.11937/48761 Curtin University fulltext |
| spellingShingle | Hettiarachchi, Don Sameera Wishwajith Assessing the Condition of Rock Tools through Waveform Analysis Techniques of Rock Drilling Induced Vibration Signals |
| title | Assessing the Condition of Rock Tools through Waveform Analysis Techniques of Rock Drilling Induced Vibration Signals |
| title_full | Assessing the Condition of Rock Tools through Waveform Analysis Techniques of Rock Drilling Induced Vibration Signals |
| title_fullStr | Assessing the Condition of Rock Tools through Waveform Analysis Techniques of Rock Drilling Induced Vibration Signals |
| title_full_unstemmed | Assessing the Condition of Rock Tools through Waveform Analysis Techniques of Rock Drilling Induced Vibration Signals |
| title_short | Assessing the Condition of Rock Tools through Waveform Analysis Techniques of Rock Drilling Induced Vibration Signals |
| title_sort | assessing the condition of rock tools through waveform analysis techniques of rock drilling induced vibration signals |
| url | http://hdl.handle.net/20.500.11937/48761 |