Evaluation of Flotation Working Condition Recognition Based on An Improved Apriori Algorithm
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DOI: 10.1016/j.ifacol.2018.09.404
Abstract: Abstract Based on machine vision and image processing technology, a large number of methods have been proposed for flotation working condition recognition in froth flotation industry. However, in these condition recognition methods, there lacks internal… read more here.
Keywords: condition; flotation; evaluation; condition recognition ... See more keywords
Rolling bearing performance degradation condition recognition based on mathematical morphological fractal dimension and fuzzy C-means
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DOI: 10.1016/j.measurement.2017.05.033
Abstract: Abstract In allusion to performance degradation condition recognition issue for rolling bearing, a method based on mathematical morphological fractal dimension (MMFD as abbreviation) and fuzzy C-means algorithm (FCM as abbreviation) is proposed in this paper.… read more here.
Keywords: degradation; rolling bearing; performance degradation; condition recognition ... See more keywords
Condition recognition based on multi-source heterogeneous data and residual temporal network in coal flotation process
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DOI: 10.1088/1361-6501/adb064
Abstract: Condition recognition in coal flotation is a critical component in achieving flotation process control and optimization. To develop reliable models for condition recognition, two key challenges must be addressed: first, the effective extraction and integration… read more here.
Keywords: condition recognition; network; condition; feature ... See more keywords
Operating Condition Recognition in Zinc Flotation Using Statistic and Temporal Correlation Features
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DOI: 10.1109/tim.2022.3193193
Abstract: Accurate recognition of operating conditions helps to correctly control froth flotation. Most previous recognition methods mainly focus on the statistic feature but ignore the temporal information in the dynamic and changing flotation process. Actually, the… read more here.
Keywords: recognition; flotation; bsd; condition recognition ... See more keywords