Sulfur Flotation Performance Recognition Based on Hierarchical Classification of Local Dynamic and Static Froth Features Wang, Yalin; Sun, Bei; Zhang, Runqin; Zhu, Quanmin; Li, Fanbiao; Abstract ...
Abstract: This paper proposes a flotation performance recognition system based on a hierarchical classification of froth images using both local dynamic and static features, which includes a series of functions in image extraction, processing, and classification. Within the integrated system, to identify the abnormal working condition with poor flotation performance …
Considering performance recognition problem caused by the high noise of froth images and the obvious difference of feature importance in sulfur flotation process, a performance recognition method using fuzzy support vector machine was proposed and the image feature importance was obtained, and the kernel function of fuzzy supportvector …
1. Introduction. The flotation process is a separation technique primarily used in mineral processing for the recovery of minerals (Wills and Finch, 2016), that also finds application in other industrial processes such as wastewater treatment and paper recycling (Saththasivam et al., 2016, Vashisth et al., 2011).Separation of mineral particles by flotation takes advantage of …
An efficient flotation process was developed to selectively recover elemental sulfur from a high-sulfur pressure acid leaching residue of zinc sulfide concentrate. The process mineralogy analysis showed that the sulfur content reached 46.21%, and 81.97% of the sulfur existed as elemental sulfur which was the major mineral in the residue and primarily existed as pellet …
A novel fault detection method based on froth texture unit distribution (TUD) is proposed to recognize the fault condition of sulphur flotation in real time.
Sulfur Flotation Performance Recognition Based on Hierarchical Classification of Local Dynamic and Static Froth Features Yalin Wang, Bei Sun, Runqin Zhang, Quanmin Zhu, Fanbiao Li; Affiliations Yalin Wang School of Information Science and Engineering, Central South University, Changsha, China ...
Sulfur Flotation Performance Recognition Based on Hierarchical Classification of Local Dynamic and Static Froth Features Wang, Yalin; Sun, Bei; Zhang, Runqin; Zhu, Quanmin; Li, …
Abstract—This study proposes a flotation performance recog-nition system based on a hierarchical classification of froth images using both local dynamic and static features, which …
A performance recognition method for mineral froth flotation process is presented, where multiple imbalance exists in texture directions, feature credit and sample distribution.
In order to solve the problem, a recognition model based on density clustering and capsule neural network (CapsNet) is proposed to classify the working conditions of the antimony froth flotation process. The main contributions are as follows: (1) A recognition model for the flotation condition based on CapsNet was proposed.
Considering performance recognition problem caused by the high noise of froth images and the obvious difference of feature importance in sulfur flotation process, a performance recognition method using fuzzy support vector machine was proposed and the image feature importance was obtained, and the kernel function of fuzzy supportvector machine was improved using the …
Considering performance recognition problem caused by the high noise of froth images and the obvious difference of feature importance in sulfur flotation process, a performance recognition method ...
Performance Recognition for Sulphur Flotation Process Based on Froth Texture Unit Distribution MingfangHe,ChunhuaYang,WeihuaGui,andYiqiuLing School of Information Science and Engineering, Central ...
The industrial application results show that the accurate performance recognition of froth flotation can be achieved by using the proposed method article …
Key takeaway: 'The proposed system accurately recognizes sulfur flotation performance using local dynamic and static features, reducing image noise and improving performance …
performance recognition becomes highly desired and essen- tial to maintain the operational variables at acceptable ra tes. Cill iers pro pose d a quanti tative f ault det ecti on and di agno-
The first element 𝐸 1 may take eight possible positions from a to h. - "Performance Recognition for Sulphur Flotation Process Based on Froth Texture Unit Distribution" Figure 1: Eight clockwise, successive ordering ways of the eight elements of the texture unit. The first element 𝐸 1 may take eight possible positions from a to h.
Downloadable! As an important indicator of flotation performance, froth texture is believed to be related to operational condition in sulphur flotation process. A novel fault detection method based on froth texture unit distribution (TUD) is proposed to recognize the fault condition of sulphur flotation in real time. The froth texture unit number is calculated based on texture …
the flotation performance recognition in sulphur flotation process. GUI et al [11] proposed a texture feature extraction method based on color co-occurrence matrix to better monitor and evaluate the production state. Recently, based on GUIs' work, ZHAO et al [3] presented a multi-scale gray level
As an important indicator of flotation performance, froth texture is believed to be related to operational condition in sulphur flotation process. A novel fault detection method based on froth texture unit distribution (TUD) is proposed to recognize the fault condition of sulphur flotation in real time.
The physical activities in a sulfur flotation cell involve the movement of solid particles driven by the flow of air and liquid. As illustrated in Figures 2 and 3 [], considering the different roles of pulp and froth in determining the cell dynamics, the flotation cell is divided into two sections: froth volume and pulp volume.The froth volume and pulp volume are then …
Considering performance recognition problem caused by the high noise of froth images and the obvious difference of feature importance in sulfur flotation process, a performance recognition method using fuzzy support vector machine was proposed and the image feature importance was obtained, and the kernel function of fuzzy supportvector machine ...
A flotation performance recognition system based on a hierarchical classification of froth images using both local dynamic and static features, which includes a series of functions in image extraction, processing, and classification that can reduce the negative effects of image noise, and has high accuracy in flotationperformance recognition.
As an important indicator of flotation performance, froth texture is believed to be related with operational condition in sulphur flotation process. A novel froth images classification method based on froth colour texture unit distribution is proposed to recognise different performance of sulphur flotation in real time.
The flotation experiment using return water indicated that the cycle use of return water had no adverse effect on the flotation performance of elemental sulfur. The process mineralogy analysis ...
As an important indicator of flotation performance, froth texture is believed to be related to operational condition in sulphur flotation process. A novel fault detection method based on froth texture unit distribution (TUD) is proposed to recognize the fault condition of sulphur flotation in …
This paper proposed a non-contact froth depth estimation approach based on machine vision. Firstly, the froth images collected from sulphur flotation process under different working conditions are ...
This paper proposed a non-contact froth depth estimation approach based on machine vision. Firstly, the froth images collected from sulphur flotation process under different working conditions are ...
This study proposes a flotation performance recognition system based on a hierarchical classification of froth images using both local dynamic and static features, which includes a …
Performance Recognition for Sulphur Flotation Process Based on Froth Texture Unit Distribution. Mingfang He Chunhua Yang W. Gui Y. Ling. Engineering, Materials Science. 2013; As an important indicator of flotation performance, froth texture is believed to be related to operational condition in sulphur flotation process.
Key takeaway: 'The proposed system accurately recognizes sulfur flotation performance using local dynamic and static features, reducing image noise and improving performance identification in real plants.' ... Sulfur Flotation Performance Recognition Based on Hierarchical Classification of Local Dynamic and Static Froth Features. Yalin Wang ...
DOI: 10.1155/2013/530349 Corpus ID: 54065776; Performance Recognition for Sulphur Flotation Process Based on Froth Texture Unit Distribution @article{He2013PerformanceRF, title={Performance Recognition for Sulphur Flotation Process Based on Froth Texture Unit Distribution}, author={Mingfang He and Chunhua Yang and Weihua Gui and Y. Wei J. Ling}, …
