Development of expert systems for stream sampling in mineral processing plants

Authors
Ketata, C Rockwell, MC Riordan, D
Citation
C. Ketata et al., Development of expert systems for stream sampling in mineral processing plants, ARTIF INT E, 14(2), 2000, pp. 191-197
Citations number
37
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
ARTIFICIAL INTELLIGENCE IN ENGINEERING
ISSN journal
09541810 → ACNP
Volume
14
Issue
2
Year of publication
2000
Pages
191 - 197
Database
ISI
SICI code
0954-1810(200004)14:2<191:DOESFS>2.0.ZU;2-6
Abstract
Stream sampling is essential for the performance assessment of a mineral pr ocessing plant. This process generates errors that are caused by stream mat erial heterogeneity and incorrect cutter features. To control the sampling process efficiently, it is very important to evaluate and minimize the samp ling errors. The objective of this paper is to introduce two expert systems for stream sampling in mineral processing plants. The first one is intende d to inspect the correctness of sampling operations. It is called Sampling Correctness Inspector (SCI). The second one is destined for the evaluation of sampling errors. It is named Sampling Error Evaluator (SEE). These exper t systems are validated successfully. (C) 2000 Elsevier Science Ltd. All ri ghts reserved.