Use of adaptive signal-processing techniques to discriminate between coal cutting and rock cutting. Information Circular/1991
The report presents results from an ongoing investigation of the use of adaptive signal discriminating methods to distinguish between cutting coal and cutting mine rock. Cutting bit forces and tool vibration were measured in the laboratory as a linear cutting apparatus made constant-depth cuts in coal, sandstone, and shale test specimens. A portion of the collected data has been analyzed and some preliminary results are given here. The influence of data bandwidth, data window size, number of signal features, and voting among classifiers on classification performance are noted. Results to date based on ideal cutting conditions and simple geologic materials indicate that of the four classifiers tested there appears to be no single best classifier. In most cases, classification accuracy showed slight improvement as the number of features considered for classification increased. The highest classification accuracies were achieved when voting was conducted among classifiers followed by voting among force components.
- Research Organization:
- Bureau of Mines, Pittsburgh, PA (United States). Pittsburgh Research Center
- OSTI ID:
- 5457033
- Report Number(s):
- PB-92-157262/XAB; BUMINES-IC-9269
- Resource Relation:
- Other Information: See also PB82-254780 and N82-19637. Library of Congress catalog card no. 91-12994
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
CUTTING MACHINES
ELECTRONIC GUIDANCE
AUTOMATION
COAL
COAL DEPOSITS
COAL MINING
CUTTING
DATA PROCESSING
MECHANICAL VIBRATIONS
MINING EQUIPMENT
ROCKS
SANDSTONES
SHALES
SIGNAL-TO-NOISE RATIO
SIGNALS
TEST FACILITIES
UNDERGROUND MINING
VARIATIONS
CARBONACEOUS MATERIALS
CONTROL SYSTEMS
ENERGY SOURCES
EQUIPMENT
FOSSIL FUELS
FUELS
GEOLOGIC DEPOSITS
MACHINING
MATERIALS
MINERAL RESOURCES
MINING
PROCESSING
RESOURCES
SEDIMENTARY ROCKS
012000* - Coal
Lignite
& Peat- Mining