Support Vector Machines(SVM) is a powerful machine learning method developed from statistical learning theory and is currently an active field in artificial intelligent technology. SVM is sensitive to noise vectors ne...Support Vector Machines(SVM) is a powerful machine learning method developed from statistical learning theory and is currently an active field in artificial intelligent technology. SVM is sensitive to noise vectors near hyperplane since it is determined only by few support vectors. In this paper, Multi SVM decision model(MSDM) was proposed. MSDM consists of multiple SVMs and makes decision by synthetic information based on multi SVMs. MSDM is applied to heart disease diagnoses based on UCI benchmark data set. MSDM somewhat inproves the robust of decision system.展开更多
Process data compression and trending are essential for improving control system performances. Swing Door Trending (SDT) algorithm is well designed to adapt the process trend while retaining the merit of simplicity. B...Process data compression and trending are essential for improving control system performances. Swing Door Trending (SDT) algorithm is well designed to adapt the process trend while retaining the merit of simplicity. But it cannot handle outliers and adapt to the fluctuations of actual data. An Improved SDT (ISDT) algorithm is proposed in this paper. The effectiveness and applicability of the ISDT algorithm are demonstrated by computations on both synthetic and real process data. By applying an adaptive recording limit as well as outliers-detecting rules, a higher compression ratio is achieved and outliers are identified and eliminated. The fidelity of the algorithm is also improved. It can be used both in online and batch mode, and integrated into existing software packages without change.展开更多
Augmented UD identification (AUDI) technique is derived from the traditional recursive least-squares (RLS) algorithm and has been developed rapidly during the last decade. AUDI is a cluster of identification algorithm...Augmented UD identification (AUDI) technique is derived from the traditional recursive least-squares (RLS) algorithm and has been developed rapidly during the last decade. AUDI is a cluster of identification algorithms based on matrix factorization methods (such as QR and LDL) and thus shows its stable performance in system identification applications. An AUDI algorithm with resetting strategy (RAUDI) has much ability in rapid time-varying SISO system identification. In this paper, an endeavor to expand the RAUDI in MIMO system identification is made and a comparative experiement is done to exhibit its good ability in rapidly changing parameter estimate in MIMO system.展开更多
Glass micropipettes with silanized inner walls can be filled with an organic solvent for voltammetric measurements in an aqueous solution. This arrangement was employed to investigate systematically the mechanism of f...Glass micropipettes with silanized inner walls can be filled with an organic solvent for voltammetric measurements in an aqueous solution. This arrangement was employed to investigate systematically the mechanism of facilitated potassium ion transfer by an ionophore dibenzo 18 crown 6(DB18C6) across a micro water/1,2 dichloroethane(W/DCE) interface supported at the tip of a silanized micropipette. Our experimental results verify that this facilitated ion transfer across the liquid/liquid interface did occur by an interfacial complexation dissociation process(TIC TID mechanism). The ratio of the diffusion coefficient of DB18C6 to that of its complexed ion in the DCE phase was calculated to be 1.74±0.07.展开更多
Identifying the active and inactive period of earthquakes in Chinese mainland is of great importance for guiding mid-short term, especially short term, earthquake forecast.……
Based on the character of the internal force distribution of the statically indeterminate truss, the elements stresses were changed by adjusting the length of bars to increase load capacity of structure. The efficienc...Based on the character of the internal force distribution of the statically indeterminate truss, the elements stresses were changed by adjusting the length of bars to increase load capacity of structure. The efficiency of the method is illustrated by several examples.展开更多
The system damping and dynamic characteristics can be further improved by properly increasing the damping coefficient ζ h. For a special hydraulic damping structure, an arciform damping clearance often used in FC...The system damping and dynamic characteristics can be further improved by properly increasing the damping coefficient ζ h. For a special hydraulic damping structure, an arciform damping clearance often used in FCS, a mathematical model has been established for fluid flow using the theory of laminar flow in the clearance of parallel plates. Analytical calculations are made for fluid flow in the arciform clearance and relational expression is deduced for flow rate along the arciform cleaance height, pressure difference, maximum arciform clearance height, the flow rate for the fluid flow in arciform clearance as well, and its simplified formula is obtained by using the theory of hydrodynamics and the curve-fitting method. This paper consists of two sections:the first section focuses on the theoretical analysis by using the simplified mathematical model and the second section mainly describes experimental analysis. The simplified formula is corrected with experimental results by considerig various boundary conditions of the damping clearance. Experimental results show that this study of arciform damping clearance is reliable and practical.展开更多
Augmented UD identification (AUDI) technique is derived from the traditional recursive least squares algorithm and had been developed rapidly during last decade. However, as the identification process evolves, AUDI al...Augmented UD identification (AUDI) technique is derived from the traditional recursive least squares algorithm and had been developed rapidly during last decade. However, as the identification process evolves, AUDI algorithm falls easily into identification saturation, which means that AUDI algorithm cannot respond to time varying system parameters unless a set of very strong identification signals is utilized or a long identification period is occupied. To overcome such a difficulty, a novel resetting AUDI (RAUDI) strategy is advanced by resetting the augmented information matrix based on MF (Monitor Function) monitoring the conspicuous change of process parameters. The numeric experiment demonstrates that the RAUDI has a good performance in estimation of rapid parameter changes.展开更多
Many industrial process systems are becoming more and more complex and are characterized by distributed features. To ensure such a system to operate under working order, distributed parameter values are often inspecte...Many industrial process systems are becoming more and more complex and are characterized by distributed features. To ensure such a system to operate under working order, distributed parameter values are often inspected from subsystems or different points in order to judge working conditions of the system and make global decisions. In this paper, a parallel decision model based on Support Vector Machine (PDMSVM) is introduced and applied to the distributed fault diagnosis in industrial process. PDMSVM is convenient for information fusion of distributed system and it performs well in fault diagnosis with distributed features. PDMSVM makes decision based on synthetic information of subsystems and takes the advantage of Support Vector Machine. Therefore decisions made by PDMSVM are highly reliable and accurate.展开更多
基金Special Funds for Major State Basic Research of China (Project 973 ,G19980 3 0 415 )
文摘Support Vector Machines(SVM) is a powerful machine learning method developed from statistical learning theory and is currently an active field in artificial intelligent technology. SVM is sensitive to noise vectors near hyperplane since it is determined only by few support vectors. In this paper, Multi SVM decision model(MSDM) was proposed. MSDM consists of multiple SVMs and makes decision by synthetic information based on multi SVMs. MSDM is applied to heart disease diagnoses based on UCI benchmark data set. MSDM somewhat inproves the robust of decision system.
基金The authors would like to acknowledge the support from Project“973”of the State Key Fundamental Research under grant G1998030415.
文摘Process data compression and trending are essential for improving control system performances. Swing Door Trending (SDT) algorithm is well designed to adapt the process trend while retaining the merit of simplicity. But it cannot handle outliers and adapt to the fluctuations of actual data. An Improved SDT (ISDT) algorithm is proposed in this paper. The effectiveness and applicability of the ISDT algorithm are demonstrated by computations on both synthetic and real process data. By applying an adaptive recording limit as well as outliers-detecting rules, a higher compression ratio is achieved and outliers are identified and eliminated. The fidelity of the algorithm is also improved. It can be used both in online and batch mode, and integrated into existing software packages without change.
文摘Augmented UD identification (AUDI) technique is derived from the traditional recursive least-squares (RLS) algorithm and has been developed rapidly during the last decade. AUDI is a cluster of identification algorithms based on matrix factorization methods (such as QR and LDL) and thus shows its stable performance in system identification applications. An AUDI algorithm with resetting strategy (RAUDI) has much ability in rapid time-varying SISO system identification. In this paper, an endeavor to expand the RAUDI in MIMO system identification is made and a comparative experiement is done to exhibit its good ability in rapidly changing parameter estimate in MIMO system.
基金Supported by Chinese Academ y of Sciences(CAS) National Natural Science Foundation of China(No. 2 982 5 111) andthe Third World Academ y of Science(TWAS) and the State Key L aboratory of Electroanalytical Chem istry of the CAS.
文摘Glass micropipettes with silanized inner walls can be filled with an organic solvent for voltammetric measurements in an aqueous solution. This arrangement was employed to investigate systematically the mechanism of facilitated potassium ion transfer by an ionophore dibenzo 18 crown 6(DB18C6) across a micro water/1,2 dichloroethane(W/DCE) interface supported at the tip of a silanized micropipette. Our experimental results verify that this facilitated ion transfer across the liquid/liquid interface did occur by an interfacial complexation dissociation process(TIC TID mechanism). The ratio of the diffusion coefficient of DB18C6 to that of its complexed ion in the DCE phase was calculated to be 1.74±0.07.
基金Chinese Joint Seismological Science Foundation and the Chinese-Greece Cooperation Project.
文摘Identifying the active and inactive period of earthquakes in Chinese mainland is of great importance for guiding mid-short term, especially short term, earthquake forecast.……
文摘Based on the character of the internal force distribution of the statically indeterminate truss, the elements stresses were changed by adjusting the length of bars to increase load capacity of structure. The efficiency of the method is illustrated by several examples.
文摘The system damping and dynamic characteristics can be further improved by properly increasing the damping coefficient ζ h. For a special hydraulic damping structure, an arciform damping clearance often used in FCS, a mathematical model has been established for fluid flow using the theory of laminar flow in the clearance of parallel plates. Analytical calculations are made for fluid flow in the arciform clearance and relational expression is deduced for flow rate along the arciform cleaance height, pressure difference, maximum arciform clearance height, the flow rate for the fluid flow in arciform clearance as well, and its simplified formula is obtained by using the theory of hydrodynamics and the curve-fitting method. This paper consists of two sections:the first section focuses on the theoretical analysis by using the simplified mathematical model and the second section mainly describes experimental analysis. The simplified formula is corrected with experimental results by considerig various boundary conditions of the damping clearance. Experimental results show that this study of arciform damping clearance is reliable and practical.
文摘Augmented UD identification (AUDI) technique is derived from the traditional recursive least squares algorithm and had been developed rapidly during last decade. However, as the identification process evolves, AUDI algorithm falls easily into identification saturation, which means that AUDI algorithm cannot respond to time varying system parameters unless a set of very strong identification signals is utilized or a long identification period is occupied. To overcome such a difficulty, a novel resetting AUDI (RAUDI) strategy is advanced by resetting the augmented information matrix based on MF (Monitor Function) monitoring the conspicuous change of process parameters. The numeric experiment demonstrates that the RAUDI has a good performance in estimation of rapid parameter changes.
文摘Many industrial process systems are becoming more and more complex and are characterized by distributed features. To ensure such a system to operate under working order, distributed parameter values are often inspected from subsystems or different points in order to judge working conditions of the system and make global decisions. In this paper, a parallel decision model based on Support Vector Machine (PDMSVM) is introduced and applied to the distributed fault diagnosis in industrial process. PDMSVM is convenient for information fusion of distributed system and it performs well in fault diagnosis with distributed features. PDMSVM makes decision based on synthetic information of subsystems and takes the advantage of Support Vector Machine. Therefore decisions made by PDMSVM are highly reliable and accurate.
