Analysis of electric arc furnaces efficiency via frequency spectrum-based arc coverage detection
| Autor: | A. Torres-Rentería, Jonathan C. Mayo-Maldonado, Osvaldo Miguel Micheloud-Vernackt, M. Damián-Cuallo |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Engineering
Audio signal Microphone business.industry 020209 energy Mechanical Engineering Acoustics Direct current Metals and Alloys Electrical engineering 02 engineering and technology 020501 mining & metallurgy Vibration Arc (geometry) Electric arc 0205 materials engineering Mechanics of Materials 0202 electrical engineering electronic engineering information engineering Materials Chemistry business Electric arc furnace Efficient energy use |
| Zdroj: | Ironmaking & Steelmaking. 44:255-261 |
| ISSN: | 1743-2812 0301-9233 |
| DOI: | 10.1080/03019233.2016.1210361 |
| Popis: | We introduce the analysis of variables measured outside a direct current electric arc furnace that are related to the arc coverage and its electric energy efficiency. We derive an on-line reference to the arc coverage suitable for control decisions. In order to do so, we study the furnace shell vibration frequency spectrum as structure-borne sound sensed by a microphone. The data is analysed using real time software tools to obtain the sound signal spectrum associated with arc coverage likewise related to the optimal performance of the furnace. A statistical test is performed to prove the relationship between sound and electric energy efficiency. |
| Databáze: | OpenAIRE |
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