A working condition recognition method based on multivariable trend analysis for gold–antimony rougher flotation. (1st September 2020)

• Record Type: Journal Article
• Authors: Lu, Ming; Sun, Yongteng; Duan, Hao; Xie, Dongheng; Chen, Zuguo; Wang, Jinyu; Wang, Cheng
• Is Part Of: Minerals engineering. Volume 156(2020)
• Publication Date: 2020-09-01
• Subjects: Rougher flotation -- Multivariable trend analysis -- Fuzzy matching -- Working condition recognition; Mines and mineral resources -- Periodicals; Ressources minérales -- Périodiques; Mines and mineral resources; Periodicals; Electronic journals; 622
• DOI: 10.1016/j.mineng.2020.106493
• Languages: English
• ISSNs: 0892-6875

Abstract

Highlights: This paper uses qualitative trend analysis to recognize gold-antimony rougher flotation working condition for the first time. The proposed method establishes a new multivariable recognition framework in accordance to multiple variables' characteristics. The improved sliding window method is used for trend extraction, which increase the recognition accuracy and reduce processing time. This paper presents a scheme of building knowledge base for multivariable rougher flotation conditions. Abstract: Rougher flotation is a complex process, making it difficult for a single variable to comprehensively and accurately reflects real-time working conditions. This paper proposes a new multivariable recognition method for rougher flotation conditions using pulp flow and froth size as parameters. It utilizes qualitative trend analysis to recognise rougher flotation condition for the first time, where an improved trend extraction method is used to improve extraction accuracy, and fuzzy logic is adopted to calculate the matching degree of trends. Considering the change in knowledge base caused by the increase in variables, this paper presents a scheme of building knowledge base for multivariable rougher flotation conditions. Experimental results of gold–antimony rougher flotation show that the proposed method can accurately recognise rougher flotation conditions.