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Cluster Analysis for Drilling-Quality Based on the Modified Algorithm of InDBSCAN
Abstract:
To detect the quality of batch drilling quickly,a new approach based on Acoustic Emission signals is presented. The signals’ statistical characteristics are extracted from acoustic emission signals in Time-domain, and then the signals’ eigenvectors are constructed to reflect each drilling process. A modified incremental clustering algorithm InDBSCAN is used to cluster these eigenvectors,and the batch drilling-quality can be analysed indirectly. Calculation and analysis results show that: the conclusion of incremental cluster analysis is more reasonable by the modified incremental clustering method of InDBSCAN. The detection accuracy of the batch drilling-quality is up to 84.3% according to the manual quality inspection.
Info:
Periodical:
Main Theme:
Edited by:
Yanwen Wu
Pages:
877-882
Citation:
Y. H. Zhou et al., "Cluster Analysis for Drilling-Quality Based on the Modified Algorithm of InDBSCAN", Key Engineering Materials, Vols. 480-481, pp. 877-882, 2011
Online since:
June 2011
Authors:
Price:
$38.00
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