Quality Diagnosis in Dynamic Process Based on Multi-Feature

Shuai Zhang

doi:10.4028/www.scientific.net/AMR.945-949.1293

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 945-949Quality Diagnosis in Dynamic Process Based on...

Quality Diagnosis in Dynamic Process Based on Multi-Feature

Abstract:

Recognition of quality abnormal patterns for a dynamic process has seen increasing demands nowadays in the real-time process fault detection and diagnosis. Based on the analysis of the quality abnormal patterns in a dynamic process, a novel method based on multi-feature of quality abnormal patterns by using a multi-SVM (MSVM) was proposed. The simulation results indicate that the recognition accuracies of the MSVM classifiers with the different features are quite different. It is shown that this MSVM model with suitable features can increase the recognition accuracy.

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Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

1293-1296

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.945-949.1293

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Online since:

June 2014

Authors:

Shuai Zhang*

Keywords:

Dynamic Process, Multi-Feature, Pattern Recognition, SVM

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* - Corresponding Author

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