摘要
为了更好的对火电厂发电机组设备故障进行检测,运用多变量统计过程控制技术获得更为精确的机组设备参数模型.[过程和方法]采用线性分组、穷举搜索法找到每一个设备参数的最佳线性模型,利用多个模型实现对同一个设备参数进行故障检测.[结果与结论]对每一个设备参数都采用最佳线性模型可以最大限度的减少模型误差对故障检测精度的影响,运用此方法建立的模型具有更高的检测精度和灵敏度.
For better detection to the thermal generating set equipment fault, using the multivariate statistical process control, a more precise equipment parameter model is obtained. Using linear dividing into groups and all possible search to obtain a series of optimum linear model for every equipment parameter. Using multi_model to realize carrying on the fault detection to same parameter. To every equipment parameter that the optimum linear model can utmost reduces the influence to the fault detection precision of model error, and possess higher checkout precision and sensitivity.
出处
《东南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2005年第A02期198-202,共5页
Journal of Southeast University：Natural Science Edition
关键词
过程控制
火电厂
故障检测
穷举搜索
process control
thermal electric power plant
fault detection
all possible search
