汽轮机变工况下调节级压力预测模型及应用
摘要：为监视汽轮机通流部分的健康状况和进行故障早期诊断，以汽轮机变工况计算为理论基础，基于弗留格尔公式和Weierstrass逼近定理，建立了调节级压力的多元回归模型。根据某660MW间接空冷机组大修后的运行数据对模型进行回归分析和验证，结果表明：模型具有很高的拟合度，自变量对因变量影响显著；稳态工况时，预测结果与实测值趋势一致，相对误差约为1.2%，实现了变工况下调节级压力软测量。将模型应用于电厂分布式控制系统中，建立了汽轮机通流部分故障的预警系统。
Abstract:Using the calculation of the variable conditions for steam turbines as the theoretical basis, a multivariate regression model for regulating pressure was established based on the Frugell formula and the Weierstrass approximation theorem. According to the historical operation data of a 660MW generating set, the model was subjected to regression analysis and verification. The results show that the model has a high degree of fit, and the independent variable has a significant influence on the dependent variable; When the steady state conditions are met, the predicted results are consistent with the measured values and the relative error is about 1.2%, which enable soft pressure measurement of the regulation stage. The model was applied to the distributed control system (DCS) of the power plant, and an on-line warning system was established to adjust the pressure anomaly and the partial flow malfunction in the turbine under variable conditions.
标题：汽轮机变工况下调节级压力预测模型及应用
title:Prediction Model and Application of Turbine Regulating Stage Pressure Under Variable Conditions
作者：罗云,陈雪林,李瑞东,苏永健,徐义巍,晁俊凯,李鹏竹,任海彬
authors:Yun LUO,Xuelin CHEN,Ruidong LI,Yongjian SU,Yiwei XU,Junkai CHAO,Pengzhu LI,Haibin REN
关键词：汽轮机,故障诊断,调节级压力,预测模型,多元回归分析,分布式控制系统(DCS),
keywords:steam turbine,fault diagnosis,regulation stage pressure,predicted model,multiple regression analysis,distributed control system(DCS),
发表日期：2019-04-30
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