期刊
ENERGY EXPLORATION & EXPLOITATION
卷 37, 期 3, 页码 1125-1146出版社
SAGE PUBLICATIONS INC
DOI: 10.1177/0144598718816604
关键词
Solar water heaters; fault diagnosis; support vector machine; D-S evidence theory; multi-source information fusion
资金
- Natural Science Foundation of China [51774228]
- Natural Science Foundation of Shaanxi Province [2017JM7005]
- Excellent doctorate cultivation fund of Xi'an University of Architecture and Technology [604031715]
- Key technology projects of safety prevention and control of major accidents in State Administration of work safety [2017G-B1-0519]
As faults in the solar water heaters are structurally complicated and highly correlated, an approach of fault diagnosis on the basis of support vector machine and D-S evidence theory has been proposed in this study, attempting to enhance the system's thermal efficiency and ensure its safety. In the approach presented, information of audio conditions, temperature at the outlet of solar thermal collectors, hourly flow and hourly heat transfer rate are accessible, which facilitate the feature evidence and are diagnosed by using one-against-one multi-class support vector machine. Experiments are conducted to diagnose fault information fusion and the results show that the diagnosis approach proposed in this study is of high reliability with fewer uncertainties, indicating that the approach is capable to recognize and diagnose solar water heater faults accurately.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据