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Conference proceeding
Weighted wavelets coefficients for monitoring process mean
IFAC - Papers OnLine: 4th IFAC Conference on Advances in Control and Optimization of Dynamical Systems ACODS 2016, Vol.49(1 ), pp.819-823
49
4th IFAC Conference on Advances in Control and Optimization of Dynamical Systems ACODS 2016 (Tiruchirappalli, India, 02/01/2016–02/05/2016)
2016
Abstract
In this paper, we present a result regarding the probability distribution of wavelets coefficients. It extends the Theorem 1 that is presented in our previous work -Cohen, A. et al. Design of experiments and statistical process control using wavelets analysis. Control Engineering Practice. 2015- to include Biorthogonal wavelets. Then, a new control chart, called OWave (Orthogonal Wavelets), is proposed in order to detect mean change in the process. The statistic of the proposed control chart is based on weighted wavelets coefficients. Performance study shows that OWave control chart performs slightly better than the optimal version EWMA control chart.
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Details
- Title
- Weighted wavelets coefficients for monitoring process mean
- Publication Details
- IFAC - Papers OnLine: 4th IFAC Conference on Advances in Control and Optimization of Dynamical Systems ACODS 2016, Vol.49(1 ), pp.819-823
- Resource Type
- Conference proceeding
- Conference
- 4th IFAC Conference on Advances in Control and Optimization of Dynamical Systems ACODS 2016 (Tiruchirappalli, India, 02/01/2016–02/05/2016)
- Publisher
- Elsevier Ltd
- Series
- 49
- Copyright
- © 2016 Published by Elsevier Ltd.
- Identifiers
- 99380090775406600
- Academic Unit
- Mathematics and Statistics; Hal Marcus College of Science and Engineering
- Language
- English