NDLI: Multivariate control for three variables of an industrial roll-type electrostatic separator

Content Provider	IEEE Xplore Digital Library
Author	Khouira, S. Karim, M. Sara, M. Lucien, D.
Copyright Year	2014
Description	Author affiliation: Inst. P', Univ. of Poitiers-ENSMA, Angouleme, France (Sara, M.; Lucien, D.) \|\| IRECOM, Univ. Djillali Liabes Sidi Bel Abbes, Algeria (Khouira, S.; Karim, M.)
Abstract	Hotelling's $T^{2}$ charts have already proven their effectiveness in the multivariate control of electrostatic separation process. The aim of this work is to extend the use of these charts from two to three variables, in order to improve the statistical control of an industrial roll-type electrostatic separator designed for the recycling industry. In the case of electrostatic separation processes, the use of: Hotelling's T $^{2}$ chart for three variables would allow to control on a single graph the correlation between the masses accumulated in the three boxes of the product collector. The results of the study carried out on a pilot-plant electrostatic separator for metals and insulators from electric cable wastes in Algeria demonstrated the effectiveness of such a chart in detecting out-of-control situations: accumulation of dust particles on the high-voltage electrodes and reduction of the input flow of raw materials.
Starting Page	1
Ending Page	7
File Size	620878
Page Count	7
File Format	PDF
ISBN	9781479922888
DOI	10.1109/IAS.2014.6978352
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-05
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrodes Corrélation Correlation Particle separators Process control Control charts Electrostatic separation Hotteling's $T^{2}$ Statistical process control SPC Shewhart charts Electrostatics Chart
Content Type	Text
Resource Type	Article

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