Research on Abnormal Pattern Recognition for Control Chart Based on Neural Network

ZAN Tao; FEI Ren-yuan; WANG Min

doi:10.3969/j.issn.0254-0037.2006.08.001

Journal of Beijing University of Technology > 2006 > 32(8): 673-676. > DOI: 10.3969/j.issn.0254-0037.2006.08.001

ZAN Tao, FEI Ren-yuan, WANG Min. Research on Abnormal Pattern Recognition for Control Chart Based on Neural Network[J]. Journal of Beijing University of Technology, 2006, 32(8): 673-676. DOI: 10.3969/j.issn.0254-0037.2006.08.001

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Research on Abnormal Pattern Recognition for Control Chart Based on Neural Network

Beijing Key Lab for Advanced Manufacturing Technology, Beijing University of Technology, Beijing 100022, China

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Received Date: April 23, 2006
Available Online: December 29, 2022

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In order to recognize the abnormal pattern of control chart to enhance the automation level of quality management and promote E-management of manufacturing enterprise,in this paper the quality data generated by Monte Carlo simulation is coded through lionear transformation to improve the character of the patterns,and then the two kinds of neural networks are applied to recognize the control chart patterns.Through analyzing the test result,the application strategy of control chart recognition is proposed.
- control charts,
- pattern recognition,
- neural networks,
- monte carlo methods

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