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

9 references·16 citing·34 second hop

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References

1997A neural network approach for the analysis of control chart patterns169 cited
2004Wavelet-based multiscale statistical process monitoring: A literature review144 cited
1994Control chart pattern recognition using learning vector quantization networks140 cited
1999A neural network based model for abnormal pattern recognition of control charts115 cited
1998Using radial basis function neural networks to recognize shifts in correlated manufacturing process parameters82 cited
1999A neural network approach to characterize pattern parameters in process control charts73 cited
1999An integrated neural network approach for simultaneous monitoring of process mean and variance shifts a comparative study67 cited
2004Recognition of control chart patterns using multi-resolution wavelets analysis and neural networks☆57 cited
1999A two-stage neural network approach for process variance change detection and classification57 cited

Cited by

2014Identification and quantification of concurrent control chart patterns using extreme-point symmetric mode decomposition and extreme learning machines45 cited
2010Control chart pattern recognition using an optimized neural network and efficient features44 cited
2018Recognition of mixture control chart patterns based on fusion feature reduction and fireworks algorithm-optimized MSVM43 cited
2013Autoregressive coefficient-invariant control chart pattern recognition in autocorrelated manufacturing processes using neural network ensemble

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42 cited

2014A multi-stage control chart pattern recognition scheme based on independent component analysis and support vector machine40 cited

2016Estimation and generation of training patterns for control chart pattern recognition40 cited

2019Control chart patterns recognition using ANFIS with new training algorithm and intelligent utilization of shape and statistical features36 cited

2008A hybrid approach for identification of concurrent control chart patterns35 cited

2020A condition monitoring approach for machining process based on control chart pattern recognition with dynamically-sized observation windows33 cited

2015Recognition of Mixture Control Chart Pattern Using Multiclass Support Vector Machine and Genetic Algorithm Based on Statistical and Shape Features30 cited

2011Control chart pattern recognition using neural networks and efficient features: a comparative study29 cited

2015A robust unsupervised consensus control chart pattern recognition framework29 cited

2012Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantization28 cited

2014A Literature Review on the Fuzzy Control Chart; Classifications & Analysis27 cited

2013Monitoring and diagnosing of mean shifts in multivariate manufacturing processes using two-level selective ensemble of learning vector quantization neural networks26 cited

2016Applying emerging soft computing approaches to control chart pattern recognition for an SPC–EPC process24 cited