A New Fault Isolation Method Based on Unified Contribution Plots
Contribution plots are important to identify the unusual process variables for fault isolation. In this paper a new fault isolation method based on unified contribution plots was presented for linear and nonlinear principal component analysis. Principal component analysis based process monitoring was first analyzed and variable contributions to monitoring statistic were modified to bring a new unified framework for contribution calculation. Then this method was generalized to nonlinear kernel principal component analysis. Some issues were further discussed including negative contribution and confidence limit,and then relative contribution was introduced to give a more reasonable explanation on variable contribution. Simulations on a continuous stirred tank reactor system were performed to show the proposed method is effective to isolate fault variables.
DENG Xiaogang TIAN Xuemin
College of Information and Control Engineering,China University of Petroleum,Dongying 257061,P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-6
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）