基于关联规则和多元状态估计的汽轮机故障预警算法  

Turbine fault warning algorithm based on association rules and multivariate state estimation

作　　者：邹红波[1] 张馨煜 李奇隆 ZOU Hong-bo;ZHANG Xin-yu;LI Qi-ong(College of Electrical and New Energy,China Three Gorges University,Yichang 443000,China)

机构地区：[1]三峡大学电气与新能源学院,湖北宜昌443000

出　　处：《吉林大学学报(工学版)》2024年第11期3283-3288,共6页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(52107108);。

摘　　要：为准确实现汽轮机故障预警,提出一种基于关联规则和多元状态估计的汽轮机故障预警算法。利用关联规则从历史数据中挖掘不同类型的汽轮机故障特征,构建原始决策表;对关联规则挖掘结果展开属性约简,提取最佳故障特征约简集合;采用最佳属性集合组合的约简决策表,对不同类型汽轮机故障信息展开分类。基于汽轮机故障历史数据和实时监测数据组建动态记忆矩阵,使用多元状态估计方法计算汽轮机故障状态,利用非线性欧氏距离计算故障特征向量与观测数据估计偏离距离。利用相似度函数对汽轮机的状态展开预估,设定故障报警阈值,实现汽轮机故障预警。测试结果证明,采用本文算法可准确划分汽轮机故障类型,预估值与实际值基本吻合,可精准实现汽轮机故障预警。In order to accurately achieve steam turbine fault warning,a steam turbine fault warning algorithm based on association rules and multivariate state estimation is proposed.Mining different types of turbine fault features from historical data using association rules to construct original decision tables;Conduct attribute reduction on the results of association rule mining and extract the optimal set of fault feature reduction;Using the optimal attribute set combination reduction decision table to classify different types of turbine fault information.Based on historical data of steam turbine faults and real-time monitoring data,a dynamic memory matrix is constructed,and the fault state of the steam turbine is calculated using multivariate state estimation method.The fault feature vector is calculated using nonlinear Euclidean distance to estimate the deviation distance from the observed data.Use similarity function to estimate the state of the steam turbine,set fault alarm threshold,and achieve steam turbine fault warning.The test results show that the proposed algorithm can accurately classify the types of steam turbine faults,and the estimated values are basically consistent with the actual values,which can accurately achieve steam turbine fault warning.

关 键 词：关联规则 多元状态估计 汽轮机故障预警 

分 类 号：TK267[动力工程及工程热物理—动力机械及工程]