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DC Field | Value | Language |
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dc.contributor.author | Gonzalez, RA | - |
dc.contributor.author | Quintanilla, P | - |
dc.date.accessioned | 2024-06-18T07:13:15Z | - |
dc.date.available | 2024-05-07 | - |
dc.date.available | 2024-06-18T07:13:15Z | - |
dc.date.issued | 2024-05-07 | - |
dc.identifier | ORCiD: Paulina Quintanilla https://orcid.org/0000-0002-7717-0556 | - |
dc.identifier | arXiv:2405.04275v1 [eess.SY] | - |
dc.identifier.citation | Gonzalez, R.A. and Quintanilla, P. (2024) 'Grey-box Recursive Parameter Identification of a Nonlinear Dynamic Model for Mineral Flotation', arXiv:2405.04275v1 [eess.SY], pp. 1 - 6. doi: 10.48550/arXiv.2405.04275. | en_US |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/29214 | - |
dc.description.abstract | This study presents a grey-box recursive identification technique to estimate key parameters in a mineral flotation process across two scenarios. The method is applied to a nonlinear physics-based dynamic model validated at a laboratory scale, allowing real-time updates of two model parameters, n and C, in response to changing conditions. The proposed approach effectively adapts to process variability and allows for continuous adjustments based on operational fluctuations, resulting in a significantly improved estimation of concentrate grade - one key performance indicator. In Scenario 1, parameters n and C achieved fit metrics of 97.99 and 96.86, respectively, with concentrate grade estimations improving from 75.1 to 98.69 using recursive identification. In Scenario 2, the fit metrics for n and C were 96.27 and 95.48, respectively, with the concentrate grade estimations increasing from 96.27 to 99.45 with recursive identification. The results demonstrate the effectiveness of the proposed grey-box recursive identification method in accurately estimating parameters and predicting concentrate grade in a mineral flotation process. | en_US |
dc.format.medium | Electronic | - |
dc.publisher | Cornell University | en_US |
dc.rights | Copyright © 2024 The Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/). | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.subject | froth flotation | en_US |
dc.subject | grey-box identification | en_US |
dc.subject | mineral processing | en_US |
dc.subject | online parameter estimation. | en_US |
dc.title | Grey-box Recursive Parameter Identification of a Nonlinear Dynamic Model for Mineral Flotation | en_US |
dc.type | Other | en_US |
dc.identifier.doi | https://doi.org/10.48550/arXiv.2405.04275 | - |
pubs.confidential | false | - |
pubs.confidential | false | - |
dc.identifier.eissn | 2331-8422 | - |
dc.rights.license | https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.en | - |
dc.rights.holder | The Author(s) | - |
Appears in Collections: | Dept of Chemical Engineering Research Papers |
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Preprint.pdf | Copyright © 2024 The Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/). | 1.74 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License