A working condition recognition method based on multivariable trend analysis for gold–antimony rougher flotation

Lu, Ming; Sun, Yongteng; Duan, Hao; Xie, Dong-heng; Chen, Zuguo; Wang, Jinyu; Wang, Cheng

doi:10.1016/j.mineng.2020.106493

Cited by 7 publications

(5 citation statements)

References 35 publications

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“…As more information is used in the estimation framework, the uncertainty in the estimation can be decreased. To further increase the estimation performance, future research directions include: systematically study the features related to the dynamics of sulfur concentrate grade; embed more information related to the dynamics of sulfur concentrate grade in the estimation framework, e.g., trend information [36]; increase the optimization performance of the estimation algorithm [37]; combine deep learning, reinforcement learning and control theory with the estimation framework [38][39][40][41]; design robust moving horizon estimation to increase the stability of estimation performance.…”

Section: Discussionmentioning

confidence: 99%

“…Based on equation (36), the real-time prediction problem of sulfur concentrate grade can be regarded as an estimation problem, i.e., the estimation of the system state x using the system output y. Because the sulfur flotation process has various working conditions, the process dynamic have timevarying characteristics.…”

Section: (1) Problem Reformulation Of Realtime Prediction Of Sulfur Concentrate Gradementioning

confidence: 99%

“…36) is uniform observable, and there exist a K Determining the experiment period: Since the test of sulfur concentrate is performed every eight hours in the plant, the experiment period is set to 8 hours. If the current testing time point is TN, then the sulfur concentrate grade is estimated from TN to the next test time point.…”

mentioning

confidence: 99%

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Moving Horizon Estimation of Sulfur Concentrate Grade Based on Kinetic Models Under Multiple Working Conditions

Sun

Zhou

et al. 2020

IEEE Access

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This paper proposed a moving horizon approach to predict sulfur concentrate grade in a sulfur flotation process. In this approach, the grade prediction problem is formulated as a moving horizon estimation problem. To build the nominal model for the estimation, the kinetic of sulfur flotation process are firstly studied. The unknown variable in the kinetic model, i.e., the flux of overflow, is obtained using machine vision technology. Moreover, to account for the multi-modal characteristic of sulfur flotation process, the kinetic model parameters are identified for different working conditions. To eliminate the effect of , a robust parameter identification approach is adopted. Finally, the kinetic model is embedded in the moving horizon estimation framework, which reconstructs the concentrate grade using from online measured process variables. Experimental results demonstrate the feasibility and efficient of the proposed method.INDEX TERMS moving horizon estimation, kinetic modeling, parameter identification, mineral processing

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Section: Discussionmentioning

confidence: 99%

Section: (1) Problem Reformulation Of Realtime Prediction Of Sulfur Concentrate Gradementioning

confidence: 99%

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Moving Horizon Estimation of Sulfur Concentrate Grade Based on Kinetic Models Under Multiple Working Conditions

Sun

Zhou

et al. 2020

IEEE Access

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“…Flotation is a well-known method for upgrading sulfide ores with low gold content [41][42][43][44][45][46]. As the gold grade of the ore was very low, it was planned to upgrade the gold content with bulk sulfide flotation.…”

Section: Flotation Testsmentioning

confidence: 99%

Automated Mineralogy and Diagnostic Leaching Studies on Bulk Sulfide Flotation Concentrate of a Refractory Gold Ore

Guner,

Bulut,

Hassanzadeh

et al. 2023

Minerals

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Obtaining detailed and precise information from a classified refractory gold ore has been a long-standing challenge in mineral processing and process mineralogy. Although the concept of diagnostic leaching has been extensively addressed in the literature, very little information is available linking this approach with current advanced characterization techniques such as automated mineralogy. The present research study aims to characterize the flotation concentrate of refractory gold ore by combining diagnostic leaching and automated mineralogy to examine its processability. The diagnostic leaching process was applied stepwise at five stages, and the automated mineralogy was performed on different size fractions of the flotation concentrate. The chemical (X-ray fluorescence (XRF), atomic absorption spectroscopy (AAS), and inductively coupled plasma-optical emission spectroscopy (ICP-OES)) and mineralogical (X-ray diffraction (XRD)) analyses of the feed sample confirmed that the ore is a low-grade gold ore with 0.7 g/t Au. Initially, bottle roll tests were carried out to investigate leaching behavior, and the ore’s refractory nature, and gold recoveries of bottle roll tests in different sizes were below 40 wt%; it is classified as a high refractory gold ore as a result of direct cyanide leaching. Bulk sulfide flotation was applied to increase the gold content of the material. Automated mineralogy results demonstrated that most of the gold in the concentrate is present as an invisible gold form, and 63.7 wt% of gold was distributed in pyrite. Diagnostic leaching results showed 39.7 wt% of total gold was leachable using direct cyanide leaching, and around 33 wt% of undissolved gold was located in pyrite and arsenopyrite.

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“…CCARE (4) is usually encountered in robust and optimal control [1][2][3][4][5][6][7][8], filter design [9], time-delay systems controller design [10], stability analysis [11][12][13][14][15][16], etc. And in these fields, it often suffices to estimate the tighter solution bounds of the algebraic Riccati equation rather than get the exact solution.…”

Section: (2)mentioning

confidence: 99%

Refined Upper Solution Bound of the Continuous Coupled Algebraic Riccati Equation

Wang

2020

Complexity

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The continuous coupled algebraic Riccati equation (CCARE) has wide applications in control theory and linear systems. In this paper, by a constructed positive semidefinite matrix, matrix inequalities, and matrix eigenvalue inequalities, we propose a new two-parameter-type upper solution bound of the CCARE. Next, we present an iterative algorithm for finding the tighter upper solution bound of CCARE, prove its boundedness, and analyse its monotonicity and convergence. Finally, corresponding numerical examples are given to illustrate the superiority and effectiveness of the derived results.

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A working condition recognition method based on multivariable trend analysis for gold–antimony rougher flotation

Cited by 7 publications

References 35 publications

Moving Horizon Estimation of Sulfur Concentrate Grade Based on Kinetic Models Under Multiple Working Conditions

Moving Horizon Estimation of Sulfur Concentrate Grade Based on Kinetic Models Under Multiple Working Conditions

Automated Mineralogy and Diagnostic Leaching Studies on Bulk Sulfide Flotation Concentrate of a Refractory Gold Ore

Refined Upper Solution Bound of the Continuous Coupled Algebraic Riccati Equation

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