Recognition of Undesirable Dragline Operator Practices for the Advanced Duty Detection System

Pearson, Justin Michael (2003). Recognition of Undesirable Dragline Operator Practices for the Advanced Duty Detection System B.Sc Thesis, School of Engineering, The University of Queensland.

       
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Author Pearson, Justin Michael
Thesis Title Recognition of Undesirable Dragline Operator Practices for the Advanced Duty Detection System
School, Centre or Institute School of Engineering
Institution The University of Queensland
Publication date 2003
Thesis type B.Sc Thesis
Supervisor Paul Meehan
Total pages 73
Language eng
Subjects 0913 Mechanical Engineering
0901 Aerospace Engineering
Formatted abstract
This Thesis Investigates recent developments in pattern recognition techniques and recommends the use of a "hybrid" pattern recognition system, combining Discrete Wavelet Analysis and Hidden Markov Models to recognise undesirable dragline operator practices in the advanced duty detection system. The thesis also develops a method of detecting the out-of-plane swing motion of the dragline bucket from information gathered by existing sensors. It is hoped that the successfull measurement of this out-of-plane motion can improve the detection of undesirable operator practices and give better feedback to the operators while in use.

The results of thesis will be incorporated into the Advanced Duty Detection System being developed by the Cooperative Research Centre for Mining (CRC Mining) to optimise preventative maintenance strategies and enhance operator training for companies operating draglines in open cut coal mines.

Keyword hybrid
Dragline Buckets

Document type: Thesis
Collection: UQ Theses (non-RHD) - UQ staff and students only
 
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Created: Thu, 22 Jan 2015, 10:37:47 EST by Ahmed Taha Siddiqui on behalf of Scholarly Communication and Digitisation Service