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| Fault Diagnosis of Temperature Control System of Oxidation Tank Based on Improved EM Algorithm |
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Received:February 28, 2020
Revised:March 04, 2020
Accepted:March 05, 2020
Published Online:June 20, 2020
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| DOI：doi：10.3969/j.issn.1007-7545.2020.07.012 |
| KeyWord:gold bio-oxidation extraction; improved EM algorithm; temperature control system; fault diagnosis; comparison algorithm |
| Author | Institution |
| JI Xinru |
新疆大学 电气工程学院 |
| GAO Bingpeng |
新疆大学 电气工程学院 |
| XU Yuanyuan |
新疆工程学院 |
| CHAI Xiujun |
新疆大学 电气工程学院 |
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| Abstract: |
| Oxidation tank is important equipment for gold bio-oxidation extraction. In the northwestern region in China with obvious season features, various operating failures of temperature control system of oxidation tank running in extreme weather environment arise inevitably. Failure of timely finding out will lead to drop of gold extraction rate and waste of mineral resources. Therefore, a fault classification method for oxidation tank temperature control system based on improved EM algorithm is proposed, which can quickly and accurately identify specific faults. The simulation results show that improved EM algorithm can make full use of advantages of industrial big data and has higher classification accuracy rate than that of traditional EM algorithm algorithms and BP neural network algorithm. |
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