Estimation of metallurgical parameters of flotation process from froth visual features
Publish Year: 1394
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJMGE-49-1_007
تاریخ نمایه سازی: 15 شهریور 1395
Abstract:
The estimation of metallurgical parameters of flotation process from froth visual features is the ultimate goal of a machine vision based control system. In this study, a batch flotation system was operated under different process conditions and metallurgical parameters and froth image data were determined simultaneously. Algorithms have been developed for measuring textural and physical froth features from the captured images. The correlation between the froth features and metallurgical parameters was successfully modeled, using artificial neural networks. It has been shown that the performance parameters of flotation process can be accurately estimated from the extracted image features, which is of great importance for developing automatic control systems.
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Authors
Mohammad Massinaei
Mining Engineering Department, University of Birjand, P.O. Box ۹۷۱۷۵-۳۷۶, Birjand, Iran