Least square support vector machine based economic evaluation method for heaters in steam turbines

LI Yong; LIU Zhe

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Least square support vector machine based economic evaluation method for heaters in steam turbines

Thermal Power Generation Vol. 43, Issue 2, Pages: 9-11(2014)

更新时间：2025-09-28

- Least square support vector machine based economic evaluation method for heaters in steam turbines
- 作者机构：
  
  东北电力大学能源与动力工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK267
- Published：2014
- 稿件说明：
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LI Yong, LIU Zhe. Least square support vector machine based economic evaluation method for heaters in steam turbines[J]. Thermal Power Generation, 2014, 43(2): 9-11.
DOI：

LI Yong, LIU Zhe. Least square support vector machine based economic evaluation method for heaters in steam turbines[J]. Thermal Power Generation, 2014, 43(2): 9-11. DOI：

摘要

提出了采用最小二乘支持向量机(LS-SVM)及选择径向基(RBF)核函数模型计算汽轮机组低压加热器端差应达值与相应实测值之间的偏差对加热器性能进行评价的方法。以某300MW机组6号低压加热器的正常运行状态为例

验证了采用LSSVM模型计算加热器端差应达值的可行性

并应用该计算模型对6号低压加热器在故障状态下的经济性进行计算分析。结果表明

该加热器上、下端差的实测值与应达值之间的均方差分别为0.536 3、5.055 3℃

均远大于其正常状态时的相应均方差值(0.005 3、0.007 8℃)

说明该加热器发生了故障。经检查

证明其故障为该机组6、7号低压加热器之间的旁路门发生内漏及6号低压加热器水位偏低。表明该计算模型可应用于低压加热器运行热经济性评价

并可实现对加热器故障的早期发现。

Abstract

The least squares support vector machine(LS-SVM)and RBF kernel function model were applied to calculate the target value of terminal temperature difference of low-pressure heaters

and performance evaluation of the heaters was conducted according to the difference between the target value and measured value.Taking normal operation state of the No.6low-pressure heater in a 300MW unit turbine as the example

the feasibility of using the LS-SVM model to calculate the target value of terminal temperature difference of the low-pressure heater was verified.Finally

economical efficiency of the heater at fault state was evaluated by the LS-SVM model.The results showed that

the mean square deviations between the measured and target value of upper and bottom terminal temperature difference of the heater were 0.536 3℃and 5.055 3℃

respectively

both far larger than that at the normal operation state(0.005 3 ℃ and 0.007 8 ℃).This indicated fault has happened on the heater.The inspection validated that

leakage occurred on bypass door between the No.6and No.7low-pressure heater

and water level in the No.6lowpressure heater was too low.Therefore

the LS-SVM model was preferred to evaluate the economic efficiency of the low-pressure heater's performance

and it also can discover the heater fault at an early time.

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