The Experts below are selected from a list of 81129 Experts worldwide ranked by ideXlab platform
Yong Chen - One of the best experts on this subject based on the ideXlab platform.
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NIR spectroscopy as a Process analytical technology (PAT) tool for on-line and real-time monitoring of an Extraction Process
Vibrational Spectroscopy, 2012Co-Authors: Yongjiang Wu, Yerui Li, Di Sun, Xuesong Liu, Ye Jin, Yong ChenAbstract:The application of near-infrared (NIR) spectroscopy for on-line monitoring of the Extraction Process of red paeony root was investigated. For NIR measurements, two fiber optic probes designed to transmit NIR radiation through a 2 mm pathlength flow cell were employed to collect spectra in real-time. Partial least squares regression (PLSR) calibration models were developed for the parameters of interest: total solid, paeoniflorin, and benzoic acid. The influences of flow rate and air bubble on the NIR spectra and calibration models were also investigated. The established models were used for on-line and real-time monitoring of Extraction Process, and a model updating method was proposed for the long-term usage of the developed models. Furthermore, both the moving block of standard deviation (MBSD) and relative concentration changing rate (RCCR) methods were used to identify the end point of Extraction Process. The results of this particular application of implementing NIR spectroscopy to monitor Extraction Process are very encouraging. Successful models have been built and applied on-line, which proffers real-time data and instant feedback about the Extraction course, and in turn, provides improved control. © 2011 Elsevier B.V. All rights reserved.
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nir spectroscopy as a Process analytical technology pat tool for on line and real time monitoring of an Extraction Process
Vibrational Spectroscopy, 2012Co-Authors: Yongjiang Wu, Yerui Li, Yong ChenAbstract:Abstract The application of near-infrared (NIR) spectroscopy for on-line monitoring of the Extraction Process of red paeony root was investigated. For NIR measurements, two fiber optic probes designed to transmit NIR radiation through a 2 mm pathlength flow cell were employed to collect spectra in real-time. Partial least squares regression (PLSR) calibration models were developed for the parameters of interest: total solid, paeoniflorin, and benzoic acid. The influences of flow rate and air bubble on the NIR spectra and calibration models were also investigated. The established models were used for on-line and real-time monitoring of Extraction Process, and a model updating method was proposed for the long-term usage of the developed models. Furthermore, both the moving block of standard deviation (MBSD) and relative concentration changing rate (RCCR) methods were used to identify the end point of Extraction Process. The results of this particular application of implementing NIR spectroscopy to monitor Extraction Process are very encouraging. Successful models have been built and applied on-line, which proffers real-time data and instant feedback about the Extraction course, and in turn, provides improved control.
Hui Yang - One of the best experts on this subject based on the ideXlab platform.
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Case-based Reasoning based on Rough set in rare-earth Extraction Process
Proceedings of the 29th Chinese Control Conference, 2010Co-Authors: Jinhong Gong, Hui Yang, Lusheng ZhongAbstract:On the characteristics of complex rare-earth Extraction Process and achieving automatic control technology hardly, while the Rough set theory has the unique merit of having no use for the outside information or the priori knowledge when dealing with ambiguous information and its adoption in Case-Based Reasoning(CBR) might optimize the cases library then draw the corresponding conclusion quickly, the paper lodge CBR based on Rough set in rare-earth Extraction Process. It can optimize the manual enactment in the rare-earth Extraction Process in place of the enactment to feeding liquid flowrate and forecast the information of component content. An industrial experiment in the Extraction Process proves this CBR method can achieve the intelligent optimal control for the Process effectively and obtain good forecast-value of component content.
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Maximum likelihood identification of countercurrent rare earth Extraction Process based on state-space model
Proceedings of the 29th Chinese Control Conference, 2010Co-Authors: Lusheng Zhong, Hui YangAbstract:In this paper, the maximum likelihood identification problem of linear state-space models is considered for the rare earth Extraction Process. The maximum likelihood estimation is computed based on the expectation maximization algorithm. The mathematic expression of the conditional expectation is derived and the parameter choice for maximizing the conditional expectation is also presented. Finally, an real industrial experiment of rare earth Extraction Process is implemented and the results show the efficiency of the proposed method.
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Identification of countercurrent rare earth Extraction Process based on nonlinear state-space models
2010 8th World Congress on Intelligent Control and Automation, 2010Co-Authors: Lusheng Zhong, Hui YangAbstract:The system identification problem of rare earth Extraction Process, which is based on local linear weighted state-space models, is considered in this paper. The parameter is determined by the minimization of output error cost function. In addition, the nonuniqueness of the fully parameterized state-space systems is considered and the parameter update is restricted to the direction which is perpendicular to the tangent space to the manifold of observationally input-output equivalent local linear weighted state-space systems. Moreover, the convergence speed of the proposed algorithm is also given. Finally, real industrial experiment of rare earth Extraction Process is implemented and the results show the efficiency of the proposed method.
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Subspace identification of countercurrent rare earth Extraction Process based on nonlinear state-space models
2010 8th World Congress on Intelligent Control and Automation, 2010Co-Authors: Lusheng Zhong, Hui YangAbstract:The subspace identification problem of rare earth Extraction Process, which is based on nonlinear state-space models, is considered in this paper. The nonlinear part of the system model is approximated by the radial basis functions. The parameters are estimated in two steps. Firstly, The system matrices are determined by subspace identification method. Secondly, the parameters of the radial basis functions are computed by optimization of output error cost function. Real industrial experiment of rare earth Extraction Process is implemented and the results show the efficiency of the proposed method.
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Rare earth Extraction Process control method based on ion characteristic color detection
2010 8th World Congress on Intelligent Control and Automation, 2010Co-Authors: Hui Yang, Lusheng Zhong, Rongxiu Lu, Shasha MengAbstract:In the Process of rare earth cascade Extraction, content of each component accumulates to different extent in the corresponding Extraction tanks, and shows its characteristic color. When the production Process conditions changed, the distribution of content of each component will be changed, and the result is the movement of characteristic color. It integrates the image Processing technology to identify characteristic color offset and fuzzy control. A rare earth Extraction Process control method composed of video monitoring and fuzzy controller is proposed. The technology is applied to a CePr/Nd extracting separation Process. The results show the effectiveness of the control method.
Yongjiang Wu - One of the best experts on this subject based on the ideXlab platform.
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NIR spectroscopy as a Process analytical technology (PAT) tool for on-line and real-time monitoring of an Extraction Process
Vibrational Spectroscopy, 2012Co-Authors: Yongjiang Wu, Yerui Li, Di Sun, Xuesong Liu, Ye Jin, Yong ChenAbstract:The application of near-infrared (NIR) spectroscopy for on-line monitoring of the Extraction Process of red paeony root was investigated. For NIR measurements, two fiber optic probes designed to transmit NIR radiation through a 2 mm pathlength flow cell were employed to collect spectra in real-time. Partial least squares regression (PLSR) calibration models were developed for the parameters of interest: total solid, paeoniflorin, and benzoic acid. The influences of flow rate and air bubble on the NIR spectra and calibration models were also investigated. The established models were used for on-line and real-time monitoring of Extraction Process, and a model updating method was proposed for the long-term usage of the developed models. Furthermore, both the moving block of standard deviation (MBSD) and relative concentration changing rate (RCCR) methods were used to identify the end point of Extraction Process. The results of this particular application of implementing NIR spectroscopy to monitor Extraction Process are very encouraging. Successful models have been built and applied on-line, which proffers real-time data and instant feedback about the Extraction course, and in turn, provides improved control. © 2011 Elsevier B.V. All rights reserved.
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nir spectroscopy as a Process analytical technology pat tool for on line and real time monitoring of an Extraction Process
Vibrational Spectroscopy, 2012Co-Authors: Yongjiang Wu, Yerui Li, Yong ChenAbstract:Abstract The application of near-infrared (NIR) spectroscopy for on-line monitoring of the Extraction Process of red paeony root was investigated. For NIR measurements, two fiber optic probes designed to transmit NIR radiation through a 2 mm pathlength flow cell were employed to collect spectra in real-time. Partial least squares regression (PLSR) calibration models were developed for the parameters of interest: total solid, paeoniflorin, and benzoic acid. The influences of flow rate and air bubble on the NIR spectra and calibration models were also investigated. The established models were used for on-line and real-time monitoring of Extraction Process, and a model updating method was proposed for the long-term usage of the developed models. Furthermore, both the moving block of standard deviation (MBSD) and relative concentration changing rate (RCCR) methods were used to identify the end point of Extraction Process. The results of this particular application of implementing NIR spectroscopy to monitor Extraction Process are very encouraging. Successful models have been built and applied on-line, which proffers real-time data and instant feedback about the Extraction course, and in turn, provides improved control.
Lusheng Zhong - One of the best experts on this subject based on the ideXlab platform.
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Case-based Reasoning based on Rough set in rare-earth Extraction Process
Proceedings of the 29th Chinese Control Conference, 2010Co-Authors: Jinhong Gong, Hui Yang, Lusheng ZhongAbstract:On the characteristics of complex rare-earth Extraction Process and achieving automatic control technology hardly, while the Rough set theory has the unique merit of having no use for the outside information or the priori knowledge when dealing with ambiguous information and its adoption in Case-Based Reasoning(CBR) might optimize the cases library then draw the corresponding conclusion quickly, the paper lodge CBR based on Rough set in rare-earth Extraction Process. It can optimize the manual enactment in the rare-earth Extraction Process in place of the enactment to feeding liquid flowrate and forecast the information of component content. An industrial experiment in the Extraction Process proves this CBR method can achieve the intelligent optimal control for the Process effectively and obtain good forecast-value of component content.
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Maximum likelihood identification of countercurrent rare earth Extraction Process based on state-space model
Proceedings of the 29th Chinese Control Conference, 2010Co-Authors: Lusheng Zhong, Hui YangAbstract:In this paper, the maximum likelihood identification problem of linear state-space models is considered for the rare earth Extraction Process. The maximum likelihood estimation is computed based on the expectation maximization algorithm. The mathematic expression of the conditional expectation is derived and the parameter choice for maximizing the conditional expectation is also presented. Finally, an real industrial experiment of rare earth Extraction Process is implemented and the results show the efficiency of the proposed method.
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Identification of countercurrent rare earth Extraction Process based on nonlinear state-space models
2010 8th World Congress on Intelligent Control and Automation, 2010Co-Authors: Lusheng Zhong, Hui YangAbstract:The system identification problem of rare earth Extraction Process, which is based on local linear weighted state-space models, is considered in this paper. The parameter is determined by the minimization of output error cost function. In addition, the nonuniqueness of the fully parameterized state-space systems is considered and the parameter update is restricted to the direction which is perpendicular to the tangent space to the manifold of observationally input-output equivalent local linear weighted state-space systems. Moreover, the convergence speed of the proposed algorithm is also given. Finally, real industrial experiment of rare earth Extraction Process is implemented and the results show the efficiency of the proposed method.
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Subspace identification of countercurrent rare earth Extraction Process based on nonlinear state-space models
2010 8th World Congress on Intelligent Control and Automation, 2010Co-Authors: Lusheng Zhong, Hui YangAbstract:The subspace identification problem of rare earth Extraction Process, which is based on nonlinear state-space models, is considered in this paper. The nonlinear part of the system model is approximated by the radial basis functions. The parameters are estimated in two steps. Firstly, The system matrices are determined by subspace identification method. Secondly, the parameters of the radial basis functions are computed by optimization of output error cost function. Real industrial experiment of rare earth Extraction Process is implemented and the results show the efficiency of the proposed method.
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Rare earth Extraction Process control method based on ion characteristic color detection
2010 8th World Congress on Intelligent Control and Automation, 2010Co-Authors: Hui Yang, Lusheng Zhong, Rongxiu Lu, Shasha MengAbstract:In the Process of rare earth cascade Extraction, content of each component accumulates to different extent in the corresponding Extraction tanks, and shows its characteristic color. When the production Process conditions changed, the distribution of content of each component will be changed, and the result is the movement of characteristic color. It integrates the image Processing technology to identify characteristic color offset and fuzzy control. A rare earth Extraction Process control method composed of video monitoring and fuzzy controller is proposed. The technology is applied to a CePr/Nd extracting separation Process. The results show the effectiveness of the control method.
Yerui Li - One of the best experts on this subject based on the ideXlab platform.
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NIR spectroscopy as a Process analytical technology (PAT) tool for on-line and real-time monitoring of an Extraction Process
Vibrational Spectroscopy, 2012Co-Authors: Yongjiang Wu, Yerui Li, Di Sun, Xuesong Liu, Ye Jin, Yong ChenAbstract:The application of near-infrared (NIR) spectroscopy for on-line monitoring of the Extraction Process of red paeony root was investigated. For NIR measurements, two fiber optic probes designed to transmit NIR radiation through a 2 mm pathlength flow cell were employed to collect spectra in real-time. Partial least squares regression (PLSR) calibration models were developed for the parameters of interest: total solid, paeoniflorin, and benzoic acid. The influences of flow rate and air bubble on the NIR spectra and calibration models were also investigated. The established models were used for on-line and real-time monitoring of Extraction Process, and a model updating method was proposed for the long-term usage of the developed models. Furthermore, both the moving block of standard deviation (MBSD) and relative concentration changing rate (RCCR) methods were used to identify the end point of Extraction Process. The results of this particular application of implementing NIR spectroscopy to monitor Extraction Process are very encouraging. Successful models have been built and applied on-line, which proffers real-time data and instant feedback about the Extraction course, and in turn, provides improved control. © 2011 Elsevier B.V. All rights reserved.
-
nir spectroscopy as a Process analytical technology pat tool for on line and real time monitoring of an Extraction Process
Vibrational Spectroscopy, 2012Co-Authors: Yongjiang Wu, Yerui Li, Yong ChenAbstract:Abstract The application of near-infrared (NIR) spectroscopy for on-line monitoring of the Extraction Process of red paeony root was investigated. For NIR measurements, two fiber optic probes designed to transmit NIR radiation through a 2 mm pathlength flow cell were employed to collect spectra in real-time. Partial least squares regression (PLSR) calibration models were developed for the parameters of interest: total solid, paeoniflorin, and benzoic acid. The influences of flow rate and air bubble on the NIR spectra and calibration models were also investigated. The established models were used for on-line and real-time monitoring of Extraction Process, and a model updating method was proposed for the long-term usage of the developed models. Furthermore, both the moving block of standard deviation (MBSD) and relative concentration changing rate (RCCR) methods were used to identify the end point of Extraction Process. The results of this particular application of implementing NIR spectroscopy to monitor Extraction Process are very encouraging. Successful models have been built and applied on-line, which proffers real-time data and instant feedback about the Extraction course, and in turn, provides improved control.
