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https://scholarbank.nus.edu.sg/handle/10635/17593
Title: | Detection and identification of mean shifts in multivariate autocorrelated processes: A comparative study | Authors: | WANG YU | Keywords: | SPC, neural networks, the Hotelling T-square chart, the MWEMA chart, the Z chart | Issue Date: | 18-Apr-2007 | Citation: | WANG YU (2007-04-18). Detection and identification of mean shifts in multivariate autocorrelated processes: A comparative study. ScholarBank@NUS Repository. | Abstract: | Complex processes with autocorrelated multivariate quality characteristics often exist in business/industry. However, limited researches have been done in detecting and identifying process mean shift in multivariate autocorrelated processes. In this thesis, a neural-network based control scheme is proposed to simultaneously detect and identify mean shifts in multivariate autocorrelated processes. The proposed control scheme utilizes the effective Extended Delta-Bar-Delta learning rule and is trained with the powerful Back-Propagation algorithm. To illustrate the power of the proposed control scheme, its Average Run Length (ARL) performance is evaluated against three statistical control charts, namely, the Hotelling T-square chart, the MEWMA chart, and the Z chart, in multivariate autocorrelated processes. It is shown that the NN-based control scheme can detect and identify mean shifts effectively and efficiently in multivariate autocorrelated processes. | URI: | http://scholarbank.nus.edu.sg/handle/10635/17593 |
Appears in Collections: | Master's Theses (Open) |
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