基于主成分分析的燃气-蒸汽联合循环余热锅炉泄漏诊断

摘要

燃气-蒸汽联合循环机组在运行过程中的频繁启停与快速变负荷导致机组余热锅炉炉管泄漏时有发生,影响电厂安全、经济运行,为此提出一种基于主成分分析(principal component analysis,PCA)的燃气-蒸汽联合循环机组余热锅炉炉管泄漏诊断方法.首先针对机组运行特点对运行数据剔除异常值、筛选稳态段、降噪,然后采用PCA方法得到样本数据的主成分向量,最后通过Hotelling''s T2统计量校验和Q统计量校验判断泄漏故障点.通过验证可知,所提出的方法能有效及时地诊断出余热锅炉的泄漏情况.%Frequent startup and rapid load variation in the course of operation of the gas-steam combined cycle unit will cause occasional leakage of the boiler tube, which may affect safe and economic operation of the power plant. Therefore, this paper presents a kind of diagnosis method for boiler tube leakage of the gas-steam combined cycle unit based on principal component analysis (PCA). This method firstly eliminates abnormal values of operating data, screens out steady state and reduces noise according to characteristics of the unit, and then adopts PCA to obtain principal component vector of sampling data, finally by means of Hotelling''s T2 statistic verification and Q statistic verification, it determines the leakage point. On the basis of verification, the proposed method is proved to be effective to timely diagnose leakage of the heat recovery boiler