Cluster Analysis for Drilling-Quality Based on the Modified Algorithm of InDBSCAN

Zhou, You Hang; Guo, Hui; Dong, Yin Song; He, Qi

doi:10.4028/www.scientific.net/KEM.480-481.877

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Home Key Engineering Materials Materials Engineering for Advanced TechnologiesCluster Analysis for Drilling-Quality Based on the...

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:

Key Engineering Materials (Volumes 480-481)

Main Theme:

Materials Engineering for Advanced Technologies

Edited by:

Yanwen Wu

Pages:

877-882

DOI:

10.4028/www.scientific.net/KEM.480-481.877

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:

You Hang Zhou, Hui Guo, Yin Song Dong, Qi He

Keywords:

Analysis Hierarchy Process (AHP), Batch Drilling, Eigenvector, Incremental Clustering, Process Quality

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$35.00

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