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Article Dans Une Revue Control Engineering Practice Année : 2016

Design of experiments and statistical process control using wavelets analysis

Résumé

In this paper, three new connections between Wavelets analysis and Statistical Quality Control are proposed. Firstly, we show that the Discrete Wavelet Transform, using Haar wavelet, is equivalent to the Xbar-R control scheme. Results concerning the distribution of wavelets coefficients, using others wavelets families, are presented, and then a new control chart, called DeWave, is proposed, in order to monitor the variability of the process. Secondly, the equivalence between the Likelihood Ratio and the Continuous Wavelet Transform, in terms of estimating the change time, is presented. Finally, we demonstrate that the Discrete Wavelet Transform is an equivalent representation of factorial Design Of Experiments.
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Dates et versions

hal-01388737 , version 1 (27-10-2016)

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Achraf Cohen, Téodor Tiplica, Abdessamad Kobi. Design of experiments and statistical process control using wavelets analysis. Control Engineering Practice, 2016, 49, pp.129-138. ⟨10.1016/j.conengprac.2015.07.013⟩. ⟨hal-01388737⟩
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