The Embedded Quality Control System of Product Manufacturing Process

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In this paper, the embedded quality control system of product manufacturing process is established to provide sophisticated aids between the modern production and SPC quality management methods. Using a variety of data interface of embedded system, the system adopts automatic or semi-automatic way to collect data to ensure the data accuracy, a recognition algorithm of control chart is contrived by using neural network to achieve the early warning of quality problems and to hint the cause of failure, so that the embedded SPC systems can provide timely and accurate decision-making information for the on-site management personnel

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510-513

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January 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Warswarth H W. Moden Method for Quality Control and Improvement[M] John Wiley&Sons (1986).

Google Scholar

[2] Syh-Shiuh, Pau-Lo hsu. Adaptive-feedrate interpolation for parametric curves with a confined chord err[J]. Computer-Aided Design, 2002, 34.

DOI: 10.1016/s0010-4485(01)00082-3

Google Scholar

[3] AL-GHANM, AMLED. An unsupervised learning neural algorithm for identifying process behavior on control charts and a comparison with supervised learning approaches[J]. Computers & Industrial Engineering, 1997, 32(3).

DOI: 10.1016/s0360-8352(96)00310-5

Google Scholar

[4] GUH, R, -S, ; ZORRIASSATINE, F.; TANNOCK, J.D.T.; O' BRIEN, C. On-line control chart pattern detection and discrimination-a neural networks approach[J]. Artificial Intelligence in Engineering, 1999, 13(4).

DOI: 10.1016/s0954-1810(99)00022-9

Google Scholar

[5] YOUSEF A A. Recognition of control chart patterns using multi-resolution wavelets analysis and neural networks[J]. Computers & Industrial Engineering, 2004, 47(1).

DOI: 10.1016/j.cie.2004.02.007

Google Scholar