ANN models for steam turbine power output toward condenser circulating water flux

摘要：

Aimed the costliness and the complex process of performance test for steam turbine power output toward circulating water flux and in view of the non-linear advantage about neural network, it brings forward predicting the performance using artificial neural networks. Compared with conventional model, the model established in this paper is of good pertinence to equipment as a result of practical sampling data collection on running equipment. Experimentation indicated that the predicting precision contented to the need of project.

关键词： Artificial neural network steam turbine power output performance prediction

作者: Jia Ruixuan Xu Hong

作者单位: Key Laboratory of Condition Monitoring and Control for Power Plant Equipment Ministry of Education, North China Electric Power University, Changping District, Beijing 102206, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 719-721

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）