OWave control chart for monitoring the process mean - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Control Engineering Practice Année : 2016

OWave control chart for monitoring the process mean

Résumé

In this paper a control chart for monitoring the process mean, called OWave (Orthogonal Wavelets), is proposed. The statistic that is plotted in the proposed control chart is based on weighted wavelets coefficients, which are provided through the Discrete Wavelets Transform using Daubechies db2 wavelets family. The statistical behavior of the wavelets coefficients when the mean shifts are occurring is presented, and the distribution of wavelets coefficients in the case of normality and independence assumptions is provided. The on-line algorithm of implementing the proposed method is also provided.
The detection performance is based on simulation studies, and the comparison result shows that OWave control chart performs slightly better than Fixed Sample Size and Sampling Intervals control charts (X, EWMA, CUSUM) in terms of Average Run Length. In addition, illustrative examples of the new control chart are presented, and an application to Tennessee Eastman Process is also proposed.

Fichier non déposé

Dates et versions

hal-01392037 , version 1 (04-11-2016)

Identifiants

Citer

Achraf Cohen, Téodor Tiplica, Abdessamad Kobi. OWave control chart for monitoring the process mean. Control Engineering Practice, 2016, 54, pp.223-230. ⟨10.1016/j.conengprac.2016.06.002⟩. ⟨hal-01392037⟩
20 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More