On-Line Froth Depth Estimation for Sulphur Flotation Process With Multiple Working Conditions Article Swipe
Mingfang He
,
Bei Sun
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1109/access.2019.2937871
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1109/access.2019.2937871
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 processed to obtain froth features. Secondly, the working condition recognition model based on froth features of flotation process is built to recognize working conditions. Moreover, the key froth features are selected by correlation analysis for various operating modes, which are the inputs of the estimation models for froth depth. Finally, the estimation models of froth depth for different working conditions are established based on the low dimensional process features, which are composed of the deep froth image features under current working condition, and crucial process operating parameters, e.g., flow rates of air, tailing and feeding. Experimental results demonstrate that the proposed method can significantly improve the measuring accuracy, compared with traditional measuring method using physical liquid level meter.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2019.2937871
- https://ieeexplore.ieee.org/ielx7/6287639/8600701/08815780.pdf
- OA Status
- gold
- Cited By
- 7
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2970610049
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2970610049Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2019.2937871Digital Object Identifier
- Title
-
On-Line Froth Depth Estimation for Sulphur Flotation Process With Multiple Working ConditionsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-01-01Full publication date if available
- Authors
-
Mingfang He, Bei SunList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2019.2937871Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/6287639/8600701/08815780.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://ieeexplore.ieee.org/ielx7/6287639/8600701/08815780.pdfDirect OA link when available
- Concepts
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Process (computing), Froth flotation, Computer science, Process engineering, Artificial intelligence, Computer vision, Machine vision, Materials science, Engineering, Metallurgy, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
7Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 2, 2023: 1, 2022: 2, 2020: 1Per-year citation counts (last 5 years)
- References (count)
-
31Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.current | 106 |
| abstract_inverted_index.improve | 131 |
| abstract_inverted_index.machine | 11 |
| abstract_inverted_index.process | 21, 44, 94, 111 |
| abstract_inverted_index.results | 123 |
| abstract_inverted_index.sulphur | 19 |
| abstract_inverted_index.tailing | 119 |
| abstract_inverted_index.various | 62 |
| abstract_inverted_index.vision. | 12 |
| abstract_inverted_index.working | 24, 34, 49, 85, 107 |
| abstract_inverted_index.Finally, | 76 |
| abstract_inverted_index.Firstly, | 13 |
| abstract_inverted_index.analysis | 60 |
| abstract_inverted_index.approach | 8 |
| abstract_inverted_index.compared | 135 |
| abstract_inverted_index.composed | 98 |
| abstract_inverted_index.features | 41, 55, 104 |
| abstract_inverted_index.feeding. | 121 |
| abstract_inverted_index.physical | 141 |
| abstract_inverted_index.proposed | 2, 127 |
| abstract_inverted_index.selected | 57 |
| abstract_inverted_index.Moreover, | 51 |
| abstract_inverted_index.Secondly, | 32 |
| abstract_inverted_index.accuracy, | 134 |
| abstract_inverted_index.collected | 17 |
| abstract_inverted_index.condition | 35 |
| abstract_inverted_index.different | 23, 84 |
| abstract_inverted_index.features, | 95 |
| abstract_inverted_index.features. | 31 |
| abstract_inverted_index.flotation | 20, 43 |
| abstract_inverted_index.measuring | 133, 138 |
| abstract_inverted_index.operating | 63, 112 |
| abstract_inverted_index.processed | 27 |
| abstract_inverted_index.recognize | 48 |
| abstract_inverted_index.condition, | 108 |
| abstract_inverted_index.conditions | 25, 86 |
| abstract_inverted_index.estimation | 7, 71, 78 |
| abstract_inverted_index.conditions. | 50 |
| abstract_inverted_index.correlation | 59 |
| abstract_inverted_index.demonstrate | 124 |
| abstract_inverted_index.dimensional | 93 |
| abstract_inverted_index.established | 88 |
| abstract_inverted_index.non-contact | 4 |
| abstract_inverted_index.parameters, | 113 |
| abstract_inverted_index.recognition | 36 |
| abstract_inverted_index.traditional | 137 |
| abstract_inverted_index.Experimental | 122 |
| abstract_inverted_index.significantly | 130 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/8 |
| sustainable_development_goals[0].score | 0.44999998807907104 |
| sustainable_development_goals[0].display_name | Decent work and economic growth |
| citation_normalized_percentile.value | 0.64268759 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |