An Efficient Technique for Control Chart Pattern Recognition Using RBF-OLS Method

سال انتشار: 1391
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,581

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شناسه ملی سند علمی:

ISCEE15_427

تاریخ نمایه سازی: 3 آذر 1391

چکیده مقاله:

Control chart pattern(CCP) are important statistical process control tools for determining whether a process is running in its intended mode or in the presence ofunnatural pattern. Accurate recognition of control chart pattern is essential for efficient system monitoring to maintain high-quality products. This paper, present an intelligentrecognition system using radial basis function neural networks (RBFNN) model for classification of CCP signals withorthogonal least square method to training the network. This recognition system consist of two main modules: feature extraction module and classifier module. In the featureextraction module, shape features are applied as the effective features for representation of the CCPs and in classifiermodule ,RBFNN is applied . With using of the orthogonal least square method, chooses radial basis function centers one by one in a rational way until an sufficient network has been constructed. The algorithm has the property that each selected center maximizes the increment to the explained variance orenergy of the desired output and does not suffer numerical illconditioning problems . The aim of the improving classifier'sperformance is to represent the best classification system with high accuracy rate for CCP signals. Simulation results confirmthat the proposed system outperforms other system and show high recognition accuracy about 99.15%.

نویسندگان

Jalil Addeh

Babol University of Technology

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  • D.C. Montgomery, Introduction to Statistical Quality Control, 5th ed., John ...
  • J.A. Swift, J.H. Mize, Out-of-controt pattern recognition and _ _ ...
  • C.H. Wang, W. Kuo, Identification of control chart patterns using ...
  • C.HH. Wang, R.S. Guo, M.H. Chiang, J.Y. Wong, Decision tre ...
  • Q. Le, X. Goal, L. Teng, M. Zhu, A new ...
  • process con- trol, International Journal of Production Research 30 (1992) ...
  • A.M. Al-Ghanim, L.C. Ludeman. Automated unnatural pattern recognition on control ...
  • Industrial Engineering 48 (2005) 205-221. ...
  • S . Chen, C. F. N Cowan, and P. M. ...
  • Basis Function Networks. IEEE TRAN SACTIONS ON NEURAL NETWORKS, VOL. ...
  • G. H. Golub and . Reinsch, "Singular value decomposition and ...
  • N . Dyn, "Interpolation of scattered data by radial functions, ...
  • _ _ .uc _ c ontrol/synthetic [23] Haykin S. Neural ...
  • Riedmiller M, Braun H. A direct adaptive method for faster ...
  • Specht, D.F., 1990. Probabilistic neural networks. Neural Networks 3, 109-118 ...
  • نمایش کامل مراجع