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Improved Kernel PLS-based Fault Detection Approach for Nonlinear chemical processes

Chinese Journal of chemical Engineering 2014年第6期22卷 657-663页

作者：王丽侍洪波 School of Electrical and Electronic Engineering Shanghai Institute of Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

In this paper, an improved nonlinear process fault detection method is proposed based on modified kernel partial least squares(KPLS). By integrating the statistical local approach(SLA) into the KPLS framework, two new statistics are established to monitor changes in the underlying model. The new modeling strategy can avoid the Gaussian distribution assumption of KPLS. Besides, advantage of the proposed method is that the kernel latent variables can be obtained directly through the eigen value decomposition instead of the iterative calculation, which can improve the computing speed. The new method is applied to fault detection in the simulation benchmark of the Tennessee Eastman process. The simulation results show superiority on detection sensitivity and accuracy in comparison to KPLS monitoring.

关键词： nonlinear process fault detection kernel partial least squares statistical local approach

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Influence of flue gas radiative properties, burner geometry and shadow effects in steam cracking furnace simulations

Influence of flue gas radiative properties, burner geometry ...

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Computing and Systems Technology Division 2014 - Core Programming Area at the 2014 AIChE Annual Meeting

作者： Zhang, Yu Schietekat, Carl M. Van Geem, Kevin M. Qian, Feng Marin, Guy B. Laboratory for Chemical Technology Department of Chemical Engineering Ghent University Technologiepark 918 Zwijnaarde Belgium Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology 130 Meilong Road Shanghai China

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Automatic prediction of sleep level during day time short nap

Automatic prediction of sleep level during day time short na...

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IEEE/Institute of Complex Medical Engineering International Conference on Complex Medical Engineering

作者： Wang, Bei Fu, Xiuyan Wang, Xingyu Nakamura, Masatoshi Key Laboratory of Advanced Control and Optimization for Chemical Processes School of Information Science and Technology East China University of Science and Technology Shanghai China Research Institute of Systems Control Institute for Advanced Research and Education Saga University Saga Japan

ISBN: (纸本)9781424493241

The day time nap sleep has the significant prophylactic function to our health and working efficiency. In this study, the prediction of sleep level for day time short nap was investigated. The ultimate purpose was to develop the automatic analysis technique for nap sleep interpretation. Firstly, the conditional probabilities of sleep stage awake, stage 1 and stage 2 were calculated for the consecutive data segments based on a set of parameters. Secondly, the sleep level of next data segment was predicted according to the obtained conditional probabilities. The prediction of sleep level reflected the future sleep tendency and was helpful for automatic nap sleep interpretation. © 2011 IEEE.

关键词： Forecasting

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On set stabilization for genetic regulatory networks 35

On set stabilization for genetic regulatory networks

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第35届中国控制会议

作者： LI Fangfei LI Jianning YU Zhaoxu School of Automation Hangzhou Dianzi University Department of Mathematics East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

ISBN: (纸本)9781509009107

Set stabilization for Boolean networks which is a kind of genetic regulatory networks is considered in this paper. An algorithm is provided to achieve the set stability for Boolean networks by changing the columns of the transition matrices of Boolean networks. Then, pinning nodes can be selected. Furthermore, pinning control design algorithm is given. Finally, the model for infection of the bacterium is presented to illustrate the effectiveness of the proposed results.

关键词： Boolean networks set stabilization pinning control semi-tensor product

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Automatic spike detection based on real-time multi-channel template

Automatic spike detection based on real-time multi-channel t...

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2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011

作者： Ji, Zhanfeng Wang, Xingyu Sugi, Takenao Goto, Satoru Nakamura, Masatoshi Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Ministry of Education Shanghai China Department of Advanced Systems Control Engineering Saga University Saga Japan Research Institute of Systems Control Saga University Saga Japan

ISBN: (纸本)9781424493524

Automatic EEG spike detection provide valuable information for diagnosis of epilepsy. In the past 30 years, a number of algorithms were proposed. However, the basic idea of most algorithms is to identify spike activities. We have developed an algorithm based on identify non-spike activities for off-line analysis. In this paper, we improved the algorithm for online application using real-time template. Template method is a typical spike detection method. It was not widely employed because of the difficulty of making template. Our results suggested that multi-channel template is meaningful and effective for real-time detection. Spike activities can be detected with a delay of about 2 s. We also designed an simple user-friendly monitor interface for monitor and review spike events in real-time. © 2011 IEEE.

关键词： multi-channel template real-time spike detection Spike spike spikes jigs(templates) Real time algorithms MONITOR analysis of flowline

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Automatic Sleep Stage Classification for Daytime Nap Based on Hopfield Neural Network

Automatic Sleep Stage Classification for Daytime Nap Based o...

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第25届中国控制与决策会议

作者： Xi Chen Bei Wang Xingyu Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education School of Information Science and Engineering East China University of Science and Technology

ISBN: (纸本)9781467355339

In this study, automatic method of sleep stage classification for daytime nap is investigated. The ultimate objective is to identify the changing of sleep level during one's nap. The sleep data is recorded according to the polysomnographic (PSG) measurement. The Electroencephalograph (EEG) is analyzed for sleep stage classification. Totally, 4 parameters are selected and calculated for each 20-second segment of EEG data. The main method is based on Hopfield Neural Network (HNN). The neural network is trained by using standard mode. The sleep stages are classified based on HNN for each consecutive segment. The obtained result showed about 80.6% consistence comparing with the visual inspection. The automatic classification results indicated the changing of sleep level during nap, which can be useful for daytime nap sleep evaluation.

关键词： Sleep Stage Determination, Daytime Nap, EEG, Hopfield Neural Network

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An immune inspired approach to 802.11 Wireless LANs coverage optimization

An immune inspired approach to 802.11 Wireless LANs coverage...

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2010 International Conference on Information, Networking and Automation, ICINA 2010

作者： Zhou, Xuan Qi, Rongbin Li, Qian Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China School of Electronics and Information Tongji University Shanghai China

ISBN: (纸本)9781424481057

Coverage optimization is a critical issue in 802.11 Wireless LANs planning problems. In this paper an immune network algorithm named opt-aiNet is studied in order to automatize the planning process by optimizing the BS's (Base Station) sites. Compared the results of opt-aiNet and genetic algorithms(GA) which have been used in radio coverage optimization before, we found that opt-aiNet could find the optimal solution all times while GA falling into local optimum solution sometimes, and opt-aiNet converged more quickly than GA in most cases. Experimental results show that optaiNet is an effective way to optimize the 802.11 Wireless LANs planning problems. © 2010 IEEE.

关键词： Genetic algorithms

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Recovering from Feedback Failure in Minimal Time

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IFAC-PapersOnLine 2016年第18期49卷 612-617页

作者： Yu, Zhaoxu Hammer, Jacob Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology No. 130 Meilong Road Shanghai City200237 China Department of Electrical and Computer Engineering University of Florida GainesvilleFL32611-6130 United States

It is well known that feedback failure increases operating errors in control systems. The objective here is to develop controllers that reduce such operating errors in minimal time, once feedback has been restored. It is shown that there are robust optimal feedback controllers that attain this objective, and that the performance of these controllers can be approximated as closely as desired by bang-bang controllers that are easy to derive and implement. © 2016

关键词： Feedback controllers Nonlinear systems Optimization Bang bang controllers Operating errors Optimal controls Optimal Feedback

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Modeling and optimization for ethylene cracking furnace systems scheduling with consideration of changing feedstock

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Huagong Xuebao/CIESC Journal 2013年第12期64卷 4304-4312页

作者： Shang, Baopeng Du, Wenli Jin, Yangkun Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

An ethylene plant employs multiple cracking furnaces in parallel to convert various hydrocarbon feedstocks to smaller hydrocarbon molecules. The continuous operational performance of cracking furnaces gradually decays because of coke formation in the reaction coils, which requires each furnace to be periodically shut down for decoking. Given multiple feeds and different cracking furnaces as well as various product prices and manufacturing costs, the operational scheduling for the entire furnace system should be optimized to achieve the best economic performance. In this paper, a new MINLP(mixed-integer nonlinear programming) model is developed to obtain cyclic scheduling strategies for cracking furnace systems. Compared to previous studies, the new model has more capabilities to address operation profitability of multiple feeds cracked in multiple furnaces. Meanwhile, solving the problem of the choice for the right time of changing feedstock in the process of cracking furnace, case studies demonstrate the efficacy of the developed methodology. © All Rights Reserved.

关键词： Feedstocks

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Support vector regression based on multi-scale wavelet kernel for propylene concentration estimation and application

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Huagong Xuebao/CIESC Journal 2010年第6期61卷 1486-1494页

作者： Yu, Yanfang Du, Wenli Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

Support vector regression based on multi-scale wavelet kernel has strong robustness and good generalization ability, but it is critical for it to choose appropriate model parameters. Obviously, the multi-scale kernel method has more difficulty in model selection than the single kernel approach. This paper proposed an approach about how to develop support vector regression based on multi-scale wavelet kernel. It applied quantum clustering to data partition in order to determine the scale parameter of the multi-scale kernel, resorted to the support vector data description algorithm to calculate the kernel width of the corresponding data points, and then used cultural algorithms to optimize the kernel width and the remaining parameters. The results showed that the multi-scale kernel method outperformed the single wavelet approach and the Gaussian method. The experiments about three regression data sets-Boston housing, Bodyfat and Santa demonstrated that in contrast with the Gaussian approach, the present multi-scale wavelet support vector regression made the mean squared error of test sets decrease by 6.8%, 62.0% and 91.3%, respectively. Meanwhile, the proposed approach exhibited good generalization ability for propylene concentration estimation in the bottom byproduct of propylene fractionation tower. It not only enabled the model output of training set for propylene concentration to show little difference with the actual output, but also made the relative error of test set down to 0.211. Compared with other methods, it had the minimal prediction error. © All Rights Reserved.

关键词： Errors

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