Pre One: Sulfur flotation performance recognition based on hierarchical classification of local dynamic and static froth features. Next One: Deep learning based feature representation and its application for soft sensor modeling with variable-wise weighted SAE. Recommended Ph.D.Supervisor;
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A performance recognition method for mineral froth flotation process is presented, where multiple imbalance exists in texture directions, feature credit and sample distribution.
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This study proposes data-driven soft sensor models based on froth images to predict the key performance indicators of the flotation process. The ability of multiple linear regression (MLR), the backpropagation neural …
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Download scientific diagram | Sulfur flotation froth images under different performance categories from publication: Sulfur Flotation Performance Recognition Based on Hierarchical Classification ...
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Download scientific diagram | Surface froth texture unit distribution. from publication: Performance Recognition for Sulphur Flotation Process Based on Froth Texture Unit Distribution | As an ...
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Performance recognition for sulphur flotation process based on froth texture unit distribution. 2013, Mathematical Problems in Engineering. Dynamic simulation of grinding circuits as an aid for the diagnosis of hydrocyclone malfunction.
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Performance Recognition for Sulphur Flotation Process Based on Froth Texture Unit Distribution (Q59026229)
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flotation froth texture is more complex, so that a simple statistical property in the GLCM approach is difficult to accuratelydescribeit,leadingtotheinaccuracyofperfor-
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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 …
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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 …
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DOI: 10.1016/b978-0-12-819592-5.00018-1 Corpus ID: 243185933; Intelligent optimal setting control of the cobalt removal process @article{Yang2021IntelligentOS, title={Intelligent optimal setting control of the cobalt removal process}, author={Chunhua Yang and Bei Sun}, journal={Modeling, Optimization, and Control of Zinc Hydrometallurgical Purification Process}, …
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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 …
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A universal process for predicting grade and recovery in a flotation process using machine leaning can be simplified as follows: select manipulating variables as data features and collect corresponding grade and recovery values as labels; identify the model architecture with a configuration of model inputs and outputs; update the model's parameters to achieve expected …
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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.
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Performance Recognition for Sulphur Flotation Process Based on Froth Texture Unit Distribution MingfangHe,ChunhuaYang,WeihuaGui,andYiqiuLing School of Information Science and Engineering, Central South University, Changsha, Hunan, China Correspondence should be addressed to Chunhua Yang; [email protected] Received August ; Accepted December
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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.
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Abstract: 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 for sulfur flotation process using fuzzy support vector m achine was proposed.
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The industrial application results show that the accurate performance recognition of froth flotation can be achieved by using the proposed method. As an important indicator of …
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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 (NB it could be …
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Copper flotation froth image recognition has been the most widely studied. The copper concentrations in flotation were predicted based on the flotation variables ...
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Download scientific diagram | Normal kernel based method to approximate the actual texture unit density estimation for Figure 3. from publication: Performance Recognition for Sulphur Flotation ...
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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 spectrum, …
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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 …
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As an important indicator of flotation performance, froth texture is believed to be related with operational condition in sulphur flotation process.
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、,Performance Recognition for Sulphur Flotation Process Based on Froth Texture Unit Distribution,He Mingfang,Yang Chunhua ...
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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.
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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 …
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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 Wei-hua Gui and Y. Wei J. Ling}, …
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Sulfur flotation performance recognition based on hierarchical classification of local dynamic and static froth features Hits: Release time:. Journal:IEEE Access, 2018, 6 (99) :14019 -14029. Co-author:et al., B Sun, YL Wang. Document Type:J. Translation or Not:no.
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