DETERMINATION OF THE OPTIMUM PRESSURE FOR SLIDING-PRESSURE OPERATION OF TURBINE UNIT BY USING BP NEURAL NETWORK

doi:10.19666/j.rlfd.2003.07.007

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DETERMINATION OF THE OPTIMUM PRESSURE FOR SLIDING-PRESSURE OPERATION OF TURBINE UNIT BY USING BP NEURAL NETWORK

更新时间：2025-09-28

- DETERMINATION OF THE OPTIMUM PRESSURE FOR SLIDING-PRESSURE OPERATION OF TURBINE UNIT BY USING BP NEURAL NETWORK
- Thermal Power Generation Issue 7, Pages: 24-26(2003)
- 作者机构：
  
  1. 西安交通大学
  2. 渭河发电有限公司
  3. 渭河发电有限公司,陕西,西安,710049
  4. ,陕西,咸阳,712000
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.2003.07.007
  CLC： TK262
- Published：2003
- 稿件说明：
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DETERMINATION OF THE OPTIMUM PRESSURE FOR SLIDING-PRESSURE OPERATION OF TURBINE UNIT BY USING BP NEURAL NETWORK[J]. Thermal power generation, 2003, (7): 24-26.
DOI：

DETERMINATION OF THE OPTIMUM PRESSURE FOR SLIDING-PRESSURE OPERATION OF TURBINE UNIT BY USING BP NEURAL NETWORK[J]. Thermal power generation, 2003, (7): 24-26. DOI： 10.19666/j.rlfd.2003.07.007.

摘要

应用BP神经网络技术

对汽轮机组滑压运行特性进行了研究

并对其特性参数进行了优化。结果表明

应用BP神经网络

可以较准确地计算出不同负荷下汽轮机在不同初压下的热耗率

从而确定最优初压

Abstract

A study on the peformance of sliding-pressure operation for turbine unit has been carried out by using back propagation（BP） neural network

and the performance parameters of said operation being optimized. The results show that the application of BP neural network can more accurately work out the computation for specific heat consumption of the said turbine unit in sliding-pressure operation under different loads with different initial pressure

thus the optimal initial pressure can be determined.

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