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    Assessing the Condition of Rock Tools through Waveform Analysis Techniques of Rock Drilling Induced Vibration Signals

    Hettiarachchi 2016.pdf (2.985Mb)
    Access Status
    Open access
    Authors
    Hettiarachchi, Don Sameera Wishwajith
    Date
    2016
    Supervisor
    Dr Oktay Erten
    Dr Hyong Doo Jang
    Type
    Thesis
    Award
    MPhil
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    Western Australian School of Mines
    URI
    http://hdl.handle.net/20.500.11937/48761
    Collection
    • Curtin Theses
    Abstract

    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.

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