Rapid detection of coal ash based on machine learning and X-ray fluorescence
Real-time testing of coal ash plays a vital role in the chemical, power generation, metallurgical, and coal separation sectors. The rapid online testing of coal ash using radiation measurement as the mainstream technology has problems such as strict coal sample requirements, poor radiation safety, l...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Saint-Petersburg Mining University
2022-11-01
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| Series: | Записки Горного института |
| Subjects: | |
| Online Access: | https://pmi.spmi.ru/index.php/pmi/article/view/15842?setLocale=en_US |