| 基于APCA的电站热力过程故障传感器自适应检测方法 |
| |
| 引用本文： | 司风琪,周建新,仇晓智,徐治皋.基于APCA的电站热力过程故障传感器自适应检测方法[J].东南大学学报(自然科学版),2009,39(2). |
| |
| 作者姓名： | 司风琪 周建新 仇晓智 徐治皋 |
| |
| 作者单位： | 东南大学能源与环境学院,南京,210096 |
| |
| 摘 要： | 为自动适应电站热力过程的连续变化,提出了基于APCA的电站热力过程传感器故障诊断方法,通过模型参数的自动更新,使模型及时反映当前的系统状态,从而连续可靠运行.对PCA重构残差进行研究,在对电站实际测量数据可靠性分析的基础上提出了参数自适应预估计方法,利用预估计值来替代故障数据,以抑制残差污染,提高重构参数的准确性.利用电厂实际测量参数进行了算例分析,表明所提算法能很快适应系统状态变化,并给出正确的检测结果,即使在系统同时存在多个传感器故障时,通过对不良数据的检验,也能够获得准确的重构数据.
|
| 关 键 词： | 电站 热力系统 主元分析 传感器 故障检测 |
Adaptive detection method of sensor failures based on APCA for the thermodynamic system in power plant |
| |
| Si Fengqi Zhou Jianxin Qiu Xiaozhi Xu Zhigao.Adaptive detection method of sensor failures based on APCA for the thermodynamic system in power plant[J].Journal of Southeast University(Natural Science Edition),2009,39(2). |
| |
| Authors: | Si Fengqi Zhou Jianxin Qiu Xiaozhi Xu Zhigao |
| |
| Institution: | School of Energy and Environment;Southeast University;Nanjing 210096;China |
| |
| Abstract: | Based on the adaptive principal component analysis(APCA) model,an adaptive detection method of sensor failures is proposed to improve the performance of the monitoring of thermodynamic system in power plant.The model can be adaptively updated to reflect the process change.A pre-estimate model is also developed based on the analysis of data reliability in power plant to replace the bad data from the failed sensors,by which the phenomenon of residual contamination can be restricted and the correct reconstruct... |
| |
| Keywords: | power plant thermodynamic system principal component analysis sensor fault detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
