A two-step information extraction method is presented to capture the specific index-related information more accurately.In the first step,the overall process variables are separated into two sets based on Pearson corr...A two-step information extraction method is presented to capture the specific index-related information more accurately.In the first step,the overall process variables are separated into two sets based on Pearson correlation coefficient.One is process variables strongly related to the specific index and the other is process variables weakly related to the specific index.Through performing principal component analysis(PCA)on the two sets,the directions of latent variables have changed.In other words,the correlation between latent variables in the set with strong correlation and the specific index may become weaker.Meanwhile,the correlation between latent variables in the set with weak correlation and the specific index may be enhanced.In the second step,the two sets are further divided into a subset strongly related to the specific index and a subset weakly related to the specific index from the perspective of latent variables using Pearson correlation coefficient,respectively.Two subsets strongly related to the specific index form a new subspace related to the specific index.Then,a hybrid monitoring strategy based on predicted specific index using partial least squares(PLS)and T2statistics-based method is proposed for specific index-related process monitoring using comprehensive information.Predicted specific index reflects real-time information for the specific index.T2statistics are used to monitor specific index-related information.Finally,the proposed method is applied to Tennessee Eastman(TE).The results indicate the effectiveness of the proposed method.展开更多
Colorado potato beetle(CPB)is one of the most devastating invasive insects and it is native to North America.It feeds on several wild species of the genus Solamum,such as S.elaeagnifolium and S.rostratum Dunal,and is ...Colorado potato beetle(CPB)is one of the most devastating invasive insects and it is native to North America.It feeds on several wild species of the genus Solamum,such as S.elaeagnifolium and S.rostratum Dunal,and is one of the major pests of potato and eggplant.Beginning in the early 19 th century,CPB has rapidly spread across North America,Europe,and Central Asia.CPB was first reported to invade Xinjiang of China in 1993 and it was effectively controlled in Mori County.Since 2013,CPB has also been found in Jilin and Heilongjiang in Northeast China,and it likely migrated to these provinces from Russia.Thus,China has become the frontier for the global CPB spread,and risk management and monitoring systems for this pest are urgently needed.Here,we summarize pest management methods that are used in areas at the frontier of the CPB invasion,and put forward frameworks for further preventing and controlling of the spread of CPB.The management methods for CPB can also serve as an example for the control of invasive species mitigation in frontier areas.展开更多
基金Projects(61374140,61673173)supported by the National Natural Science Foundation of ChinaProjects(222201717006,222201714031)supported by the Fundamental Research Funds for the Central Universities,China
文摘A two-step information extraction method is presented to capture the specific index-related information more accurately.In the first step,the overall process variables are separated into two sets based on Pearson correlation coefficient.One is process variables strongly related to the specific index and the other is process variables weakly related to the specific index.Through performing principal component analysis(PCA)on the two sets,the directions of latent variables have changed.In other words,the correlation between latent variables in the set with strong correlation and the specific index may become weaker.Meanwhile,the correlation between latent variables in the set with weak correlation and the specific index may be enhanced.In the second step,the two sets are further divided into a subset strongly related to the specific index and a subset weakly related to the specific index from the perspective of latent variables using Pearson correlation coefficient,respectively.Two subsets strongly related to the specific index form a new subspace related to the specific index.Then,a hybrid monitoring strategy based on predicted specific index using partial least squares(PLS)and T2statistics-based method is proposed for specific index-related process monitoring using comprehensive information.Predicted specific index reflects real-time information for the specific index.T2statistics are used to monitor specific index-related information.Finally,the proposed method is applied to Tennessee Eastman(TE).The results indicate the effectiveness of the proposed method.
基金supported by the Basic Scientific Funding from Chinese Academy of Inspection and Quarantine (2017JK038 and 2014JK014)
文摘Colorado potato beetle(CPB)is one of the most devastating invasive insects and it is native to North America.It feeds on several wild species of the genus Solamum,such as S.elaeagnifolium and S.rostratum Dunal,and is one of the major pests of potato and eggplant.Beginning in the early 19 th century,CPB has rapidly spread across North America,Europe,and Central Asia.CPB was first reported to invade Xinjiang of China in 1993 and it was effectively controlled in Mori County.Since 2013,CPB has also been found in Jilin and Heilongjiang in Northeast China,and it likely migrated to these provinces from Russia.Thus,China has become the frontier for the global CPB spread,and risk management and monitoring systems for this pest are urgently needed.Here,we summarize pest management methods that are used in areas at the frontier of the CPB invasion,and put forward frameworks for further preventing and controlling of the spread of CPB.The management methods for CPB can also serve as an example for the control of invasive species mitigation in frontier areas.