针对工业过程微小故障以及工业过程数据普遍存在的非线性问题,提出基于近邻指标累积和(Cumulative Sum of Neighbor Statistic,CUSUM-NS)的故障检测方法。使用互信息主元分析(Mutual Information Principal Component Analysis,MIPCA)...针对工业过程微小故障以及工业过程数据普遍存在的非线性问题,提出基于近邻指标累积和(Cumulative Sum of Neighbor Statistic,CUSUM-NS)的故障检测方法。使用互信息主元分析(Mutual Information Principal Component Analysis,MIPCA)对训练数据降维,提取互信息主元构成新样本空间,对降维后的新样本空间计算k近邻(k-Nearest-Neighbor,kNN)距离平方和指标,充分提取过程数据的非线性特征。利用累积和(CUSUM)方法对近邻距离平方和进行累积,捕捉过程数据的微小变化。通过TE(Tennessee Eastman)过程进行仿真,结果验证了所提方法有效性。展开更多
Popularity of blogs and the amount of information in the blogosphere increase so fast that it is difficult for Internet users to search the information they care about. Compared with conventional webs,links in the blo...Popularity of blogs and the amount of information in the blogosphere increase so fast that it is difficult for Internet users to search the information they care about. Compared with conventional webs,links in the blogosphere are more abundant and conversations between bloggers are more fre-quent. This paper proposes a method of ranking bloggers based on link analysis,which can exemplify the characteristics of blogs,and reduce the influence of link spamming. This method can also bring convenience to users to read blogs,and it can supply a new methodology for information retrieval in the blogosphere. To ensure the reliability of the ranking results,some evaluation indicators of the im-portant bloggers are proposed,and the grading results of bloggers using the proposed method is compared with that using other indicators. At last,correlation analysis is used to verify the consistency between the proposed method and the evaluation indicators.展开更多
To evaluate the wear condition of machines accurately,oil spectrographic entropy,mutual information and ICA analysis methods based on information theory are presented. A full-scale diagnosis utilizing all channels of ...To evaluate the wear condition of machines accurately,oil spectrographic entropy,mutual information and ICA analysis methods based on information theory are presented. A full-scale diagnosis utilizing all channels of spectrographic analysis can be obtained. By measuring the complexity and correlativity,the characteristics of wear condition of machines can be shown clearly. The diagnostic quality is improved. The analysis processes of these monitoring methods are given through the explanation of examples. The availability of these methods is validated and further research fields are demonstrated.展开更多
文摘针对工业过程微小故障以及工业过程数据普遍存在的非线性问题,提出基于近邻指标累积和(Cumulative Sum of Neighbor Statistic,CUSUM-NS)的故障检测方法。使用互信息主元分析(Mutual Information Principal Component Analysis,MIPCA)对训练数据降维,提取互信息主元构成新样本空间,对降维后的新样本空间计算k近邻(k-Nearest-Neighbor,kNN)距离平方和指标,充分提取过程数据的非线性特征。利用累积和(CUSUM)方法对近邻距离平方和进行累积,捕捉过程数据的微小变化。通过TE(Tennessee Eastman)过程进行仿真,结果验证了所提方法有效性。
基金the National Natural Science Foundation of China (No.60435020, 60302021).
文摘Popularity of blogs and the amount of information in the blogosphere increase so fast that it is difficult for Internet users to search the information they care about. Compared with conventional webs,links in the blogosphere are more abundant and conversations between bloggers are more fre-quent. This paper proposes a method of ranking bloggers based on link analysis,which can exemplify the characteristics of blogs,and reduce the influence of link spamming. This method can also bring convenience to users to read blogs,and it can supply a new methodology for information retrieval in the blogosphere. To ensure the reliability of the ranking results,some evaluation indicators of the im-portant bloggers are proposed,and the grading results of bloggers using the proposed method is compared with that using other indicators. At last,correlation analysis is used to verify the consistency between the proposed method and the evaluation indicators.
文摘To evaluate the wear condition of machines accurately,oil spectrographic entropy,mutual information and ICA analysis methods based on information theory are presented. A full-scale diagnosis utilizing all channels of spectrographic analysis can be obtained. By measuring the complexity and correlativity,the characteristics of wear condition of machines can be shown clearly. The diagnostic quality is improved. The analysis processes of these monitoring methods are given through the explanation of examples. The availability of these methods is validated and further research fields are demonstrated.
