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Manabu Kano,Sanghong Kim,Ryota Okajima,Shinji Hasebe 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
Virtual sensing technology is crucial to realize high product quality and productivity in any industry, but model maintenance is the most critical issue because the estimation accuracy deteriorates due to changes in processes characteristics and operating conditions. In order to realize maintenance-free high-performance virtual sensing, locally weighted partial least squares (LW-PLS) was proposed and has been successfully applied to various industrial processes. In this article, the algorithm of LW-PLS is explained focusing on the effect of similarity measures on the estimation performance. In addition, several industrial applications of LW-PLS are presented.
State and Parameter Estimation for Tubular Microreactors Using Particle Filter
Jun-ichi Kano,Osamu Tonomura,Manabu Kano,Shinji Hasebe 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Micro Chemical Processes (MCPs) are constructed of micrometer scale channels. The characteristics of MCPs are rapid mixing due to short diffusion distances and accurate temperature control due to large surface-volume ratio. Therefore, MCPs make it possible to realize the production of specialty chemicals, which cannot be handled in conventional processes. To realize stable long-term operation of MCPs, it is necessary to detect the catalyst deterioration and the blockage which are the critical problems in the operation of MCPs. For example, the catalyst deterioration and the blockage are detected through the concentration meters and the flow meters installed in microchannels respectively. However, the installation of such sensors sometimes disturbs the flow. In addition, the existing miniaturized sensors are too expensive. Therefore, it is necessary to develop a monitoring system of MCPs using the state and parameter estimation. In this work, a monitoring system based on physical models and wall temperature measurements for Tubular Microreactor (TMR) is developed. It is described that Particle Filter (PF) can detect the catalyst deterioration of TMR more rapidly and accurately than Extended Kalman Filter (EKF).
Koichi Fujiwara,Manabu Kano,Shinji Hasebe 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Although linear regression is a simple and useful method to build process models, they do not always function well in practice due to not only changes in process characteristics but differences of specifities between the equipments when multiple equipments are operated in parallel. To cope with them, the correlation between variables should beconsidered. In the present work, a new pattern recognition method, referred to as Nearest Correlation(NC) method that can select samples whose correlations are similar to the query point without supervised signal is proposed. The proposed procedures are as follows:1) Subtract the query point from all the other samples.2) Calculate the correlation coefficient between all pairs of arbitrary two subtracted samples, and the pairs whos ecorrelation coefficients are close to-1 are selected.4) Derive the subspace containing the query point from the selected samples.4) The Qstatistics between all samples and the derived subspace are calculated, and the samples whose Qstatistic is small are selected as the similar samples to the query point. In addition, a new soft-sensor design method integrating the NC method and Just-In-Time(JIT) modeling is proposed. This method is referred to as Correlation-based JIT(C-JIT) modeling, and it cope with the changes inprocess characteristics and the differences of specifities between the equipments. The usefulness of the proposed NC method and C-JIT modeling are demonstrated through case studies of CSTR process.
Sensitivity Analysis of Generalized Gaussian Process Models for Variable Importance Measure
Xinmin Zhang,Manabu Kano,Yuan Li 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10
In machine learning, Gaussian process regression (GPR) has been gaining popularity due to its nonparametric Bayesian form. However, the traditional GPR model is designed for continuous real-valued outputs with a Gaussian assumption, which does not hold in some engineering application studies. For example, when the output variable is count data, it violates the assumptions of the GPR model. Generalized Gaussian process regression (GGPR) can overcome the drawbacks of the conventional GPR, and it allows the model outputs to be any member of the exponential family of distributions. Thus, GGPR is more flexible than GPR. However, since GGPR is a nonlinear kernel-based method, it is not readily accessible to understand the effect of each input variable on the model output. To tackle this issue, the sensitivity analysis of GGPR (SA-GGPR) is proposed in this work. SA-GGPR aims to identify factors that exert higher influence on the model output by utilizing the information from the partial derivative of the GGPR model output with respect to its inputs. The proposed method was applied to a nonlinear count data system. The application results demonstrated that the proposed SA-GGPR is superior to the PLS-Beta, PLS-VIP, and SA-GPR methods in identification accuracy.
PID Gain Tuning for Disturbance Attenuation Using FRIT Method
Yusuke Yasuda,Shiro Masuda,Manabu Kano 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Fictitious reference iterative tuning (FRIT) is a method for designing the feedback controller of an unknown plant model by optimizing the performance index that consists of the fictitious reference output computed from one-shot experimental input-output data. This paper proposes a PID gain tuning for disturbance attenuation using FRIT method. While the conventional FRIT tunes the PID gains so that the plant output follows the reference model output, the proposed one tunes the PID gains so that the disturbance response follows the reference model output. The proposed approach has the advantage that it more directly tunes the PID gains for the disturbance attenuation than the conventional ones. The efficiency of the proposed method is shown through a numerical example.
Satoshi Ida,Naoki Hiki,Takeaki Ishizawa,Yugo Kuriki,Mako Kamiya,Yasuteru Urano,Takuro Nakamura,Yasuo Tsuda,Yosuke Kano,Koshi Kumagai,Souya Nunobe,Manabu Ohashi,Takeshi Sano 대한위암학회 2018 Journal of gastric cancer Vol.18 No.2
Purpose: Postoperative pancreatic fistula is a serious and fatal complication of gastrectomy for gastric cancer. Blunt trauma to the parenchyma of the pancreas can result from an assistant's forceps compressing and retracting the pancreas, which in turn may result in pancreatic juice leakage. However, no published studies have focused on blunt trauma to the pancreas during laparoscopic surgery. Our aim was to investigate the relationship between compression of the pancreas and pancreatic juice leakage in a swine model. Materials and Methods: Three female pigs were used in this study. The pancreas was gently compressed dorsally for 15 minutes laparoscopically with gauze grasped with forceps. Pancreatic juice leakage was visualized by fluorescence imaging after topical administration of chymotrypsin-activatable fluorophore in real time. Amylase concentrations in ascites collected at specified times was measured. In addition, pancreatic tissue was fixed with formalin, and the histology of the compressed sites was evaluated. Results: Fluorescence imaging enabled visualization of pancreatic juice leaking into ascites around the pancreas. Median concentrations of pancreatic amylase in ascites increased from 46 U/L preoperatively to 12,509 U/L 4 hours after compression. Histological examination of tissues obtained 4 hours after compression revealed necrotic pancreatic acinar cells extending from the surface to deep within the pancreas and infiltration of inflammatory cells. Conclusions: Pancreatic compression by the assistant's forceps can contribute to pancreatic juice leakage. These findings will help to improve the procedure for lymph node dissection around the pancreas during laparoscopic gastrectomy.
Ida, Satoshi,Hiki, Naoki,Ishizawa, Takeaki,Kuriki, Yugo,Kamiya, Mako,Urano, Yasuteru,Nakamura, Takuro,Tsuda, Yasuo,Kano, Yosuke,Kumagai, Koshi,Nunobe, Souya,Ohashi, Manabu,Sano, Takeshi The Korean Gastric Cancer Association 2018 Journal of gastric cancer Vol.18 No.2
Purpose: Postoperative pancreatic fistula is a serious and fatal complication of gastrectomy for gastric cancer. Blunt trauma to the parenchyma of the pancreas can result from an assistant's forceps compressing and retracting the pancreas, which in turn may result in pancreatic juice leakage. However, no published studies have focused on blunt trauma to the pancreas during laparoscopic surgery. Our aim was to investigate the relationship between compression of the pancreas and pancreatic juice leakage in a swine model. Materials and Methods: Three female pigs were used in this study. The pancreas was gently compressed dorsally for 15 minutes laparoscopically with gauze grasped with forceps. Pancreatic juice leakage was visualized by fluorescence imaging after topical administration of chymotrypsin-activatable fluorophore in real time. Amylase concentrations in ascites collected at specified times was measured. In addition, pancreatic tissue was fixed with formalin, and the histology of the compressed sites was evaluated. Results: Fluorescence imaging enabled visualization of pancreatic juice leaking into ascites around the pancreas. Median concentrations of pancreatic amylase in ascites increased from 46 U/L preoperatively to 12,509 U/L 4 hours after compression. Histological examination of tissues obtained 4 hours after compression revealed necrotic pancreatic acinar cells extending from the surface to deep within the pancreas and infiltration of inflammatory cells. Conclusions: Pancreatic compression by the assistant's forceps can contribute to pancreatic juice leakage. These findings will help to improve the procedure for lymph node dissection around the pancreas during laparoscopic gastrectomy.