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Volumn 18, Issue 3, 2007, Pages 343-350

Identification of control chart patterns using wavelet filtering and robust fuzzy clustering

Author keywords

Control chart; Outlier; Pattern recognition; Robust fuzzy clustering; Wavelet denoising

Indexed keywords

COMPUTATIONAL METHODS; FUZZY CLUSTERING; NEURAL NETWORKS; PATTERN RECOGNITION; ROBUST CONTROL; SIGNAL FILTERING AND PREDICTION;

EID: 34547699508     PISSN: 09565515     EISSN: 15728145     Source Type: Journal    
DOI: 10.1007/s10845-007-0028-6     Document Type: Article
Times cited : (50)

References (25)
  • 2
    • 0033131670 scopus 로고    scopus 로고
    • A two-stage neural network for process variance change detection and classification
    • Chang, S. I., & Ho, E. S. (1999). A two-stage neural network for process variance change detection and classification. International Journal of Production Research, 37(1), 1581-1599.
    • (1999) International Journal of Production Research , vol.37 , Issue.1 , pp. 1581-1599
    • Chang, S.I.1    Ho, E.S.2
  • 3
    • 0031100898 scopus 로고    scopus 로고
    • A neural network approach for the analysis of control chart patterns
    • Cheng, C. S. (1997). A neural network approach for the analysis of control chart patterns. International Journal of Production Research, 35(3), 667-697.
    • (1997) International Journal of Production Research , vol.35 , Issue.3 , pp. 667-697
    • Cheng, C.S.1
  • 4
    • 0032022864 scopus 로고    scopus 로고
    • Using radial basis function neural networks to recognize shifts in correlated manufacturing process parameters
    • Cook, D. F., & Chiu, C. C. (1998). Using radial basis function neural networks to recognize shifts in correlated manufacturing process parameters. IIE transactions, 30, 227-234.
    • (1998) IIE transactions , vol.30 , pp. 227-234
    • Cook, D.F.1    Chiu, C.C.2
  • 8
  • 9
    • 3943102115 scopus 로고    scopus 로고
    • Wavelet-based multiscale statistical process monitoring: A. literature review
    • Ganesan, R., Das, T. K., & Venkataraman, V. (2004). Wavelet-based multiscale statistical process monitoring: A. literature review. IIE transactions, 36, 787-806.
    • (2004) IIE transactions , vol.36 , pp. 787-806
    • Ganesan, R.1    Das, T.K.2    Venkataraman, V.3
  • 10
    • 0032673229 scopus 로고    scopus 로고
    • A neural network based model for abnormal pattern recognition of control charts
    • Guh, R. S., & Hsieh, Y. C. (1999). A neural network based model for abnormal pattern recognition of control charts. Computers & Industrial Engineering, 36, 97-108.
    • (1999) Computers & Industrial Engineering , vol.36 , pp. 97-108
    • Guh, R.S.1    Hsieh, Y.C.2
  • 11
    • 0033221564 scopus 로고    scopus 로고
    • A neural network approach to characterize pattern parameters in process control charts
    • Gun, R. S., & Tannock, J. D. T. (1999). A neural network approach to characterize pattern parameters in process control charts. Journal of Intelligent Manufacturing, 10, 449-462.
    • (1999) Journal of Intelligent Manufacturing , vol.10 , pp. 449-462
    • Gun, R.S.1    Tannock, J.D.T.2
  • 12
    • 0032648097 scopus 로고    scopus 로고
    • An integrated neural network approach for simultaneous monitoring of process mean and variance shifts: A comparative study
    • Ho, E. S., & Chang, S. I. (1999). An integrated neural network approach for simultaneous monitoring of process mean and variance shifts: A comparative study. International Journal of Production Research, 37(8), 1881-1901.
    • (1999) International Journal of Production Research , vol.37 , Issue.8 , pp. 1881-1901
    • Ho, E.S.1    Chang, S.I.2
  • 13
    • 0000612344 scopus 로고    scopus 로고
    • Gaussian mixture PDF approximation and fuzzy c-means clustering with entropy regularization
    • Tsukuba, Japan
    • Ichihashi, H., Honda, K., & Tani, N. (2000). Gaussian mixture PDF approximation and fuzzy c-means clustering with entropy regularization. Proceedings Of the 4th Asian Fuzzy System Symposium, 212-221, Tsukuba, Japan.
    • (2000) Proceedings Of the 4th Asian Fuzzy System Symposium , pp. 212-221
    • Ichihashi, H.1    Honda, K.2    Tani, N.3
  • 15
    • 0035359901 scopus 로고    scopus 로고
    • Automatic feature extraction of waveform, signals for in-process diagnostic performance improvement
    • Jin, J., & Shi, J. (2001). Automatic feature extraction of waveform, signals for in-process diagnostic performance improvement. Journal of Intelligent Manufacturing, 12, 257-268.
    • (2001) Journal of Intelligent Manufacturing , vol.12 , pp. 257-268
    • Jin, J.1    Shi, J.2
  • 18
    • 0032943498 scopus 로고    scopus 로고
    • On-line multiscale filtering of random and gross errors without process modes
    • Nounou, M. N., & Bakshi, B. R. (1999). On-line multiscale filtering of random and gross errors without process modes. AIChE, 45(5), 1041-1058.
    • (1999) AIChE , vol.45 , Issue.5 , pp. 1041-1058
    • Nounou, M.N.1    Bakshi, B.R.2
  • 19
    • 0028392602 scopus 로고
    • Control chart pattern recognition using learning vector quantization networks
    • Pham, D.T., & Oztemel, E. (1994). Control chart pattern recognition using learning vector quantization networks. International Journal of Production Research, 32(3), 721-729.
    • (1994) International Journal of Production Research , vol.32 , Issue.3 , pp. 721-729
    • Pham, D.T.1    Oztemel, E.2
  • 20
    • 33751510941 scopus 로고    scopus 로고
    • An integrated approach for process monitoring using wavelet analysis and competitive neural network
    • Wang, C. H., Kuo, W., & Qi, H. (2007). An integrated approach for process monitoring using wavelet analysis and competitive neural network. International Journal of Production Research, 45(1) 227-244.
    • (2007) International Journal of Production Research , vol.45 , Issue.1 , pp. 227-244
    • Wang, C.H.1    Kuo, W.2    Qi, H.3
  • 21
    • 0036779072 scopus 로고    scopus 로고
    • Alternative C means clustering algorithms
    • Wu, K. L., & Yang, M. S. (2002). Alternative C means clustering algorithms. Pattern Recognition, 35, 2267-2278.
    • (2002) Pattern Recognition , vol.35 , pp. 2267-2278
    • Wu, K.L.1    Yang, M.S.2
  • 23
    • 0037103442 scopus 로고    scopus 로고
    • A fuzzy-soft learning vector quantization for control chart pattern recognition
    • Yang, M. S., & Yang, J. H. (2002). A fuzzy-soft learning vector quantization for control chart pattern recognition. International Journal of Production Research, 40(12), 2721-2731.
    • (2002) International Journal of Production Research , vol.40 , Issue.12 , pp. 2721-2731
    • Yang, M.S.1    Yang, J.H.2
  • 24
    • 3242692277 scopus 로고    scopus 로고
    • Recognition of control chart patterns using multiresolution wavelets analysis and neural networks
    • Yousef, A. A. (2004). Recognition of control chart patterns using multiresolution wavelets analysis and neural networks. Computers and Industrial Engineering, 47, 17-29.
    • (2004) Computers and Industrial Engineering , vol.47 , pp. 17-29
    • Yousef, A.A.1
  • 25
    • 0842300534 scopus 로고    scopus 로고
    • Clustering incomplete data using kernel-based fuzzy C means algorithm
    • Zhang, D. Q., & Chen, S. C. (2003). Clustering incomplete data using kernel-based fuzzy C means algorithm. Neural Processing Letters, 18, 155-162.
    • (2003) Neural Processing Letters , vol.18 , pp. 155-162
    • Zhang, D.Q.1    Chen, S.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.