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Adaptive Local Outlier Probability for Dynamic process Monitoring

Chinese Journal of chemical Engineering 2014年第7期22卷 820-827页

作者：马玉鑫侍洪波王梦灵 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

Complex industrial processes often have multiple operating modes and present time-varying behavior. The data in one mode may follow specific Gaussian or non-Gaussian distributions. In this paper, a numerically efficient movingwindow local outlier probability algorithm is proposed, lies key feature is the capability to handle complex data distributions and incursive operating condition changes including slow dynamic variations and instant mode shifts. First, a two-step adaption approach is introduced and some designed updating rules are applied to keep the monitoring model up-to-date. Then, a semi-supervised monitoring strategy is developed with an updating switch rule to deal with mode changes. Based on local probability models, the algorithm has a superior ability in detecting faulty conditions and fast adapting to slow variations and new operating modes. Finally, the utility of the proposed method is demonstrated with a numerical example and a non-isothermal continuous stirred tank reactor.

关键词： Time-varying Complex data distribution Local outlier probability Multi-mode Fault detection

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Plant-wide process monitoring based on mutual information-multiblock principal component analysis

Plant-wide process monitoring based on mutual information-mu...

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作者： Jiang, Qingchao Yan, Xuefeng Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology MeiLong Road No. 130 Shanghai200237 China

Multiblock principal component analysis (MBPCA) methods are gaining increasing attentions in monitoring plant-wide processes. Generally, MBPCA assumes that some process knowledge is incorporated for block division;however, process knowledge is not always available. A new totally data-driven MBPCA method, which employs mutual information (MI) to divide the blocks automatically, has been proposed. By constructing sub-blocks using MI, the division not only considers linear correlations between variables, but also takes into account non-linear relations thereby involving more statistical information. The PCA models in sub-blocks reflect more local behaviors of process, and the results in all blocks are combined together by support vector data description. The proposed method is implemented on a numerical process and the Tennessee Eastman process. Monitoring results demonstrate the feasibility and efficiency. © 2014 ISA. Published by Elsevier Ltd. All rights reserved.

关键词： process monitoring

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Improving differential evolution with impulsive control framework

Improving differential evolution with impulsive control fram...

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Congress on Evolutionary Computation

作者： Wei Du Sunney Yung Sun Leung Chun Kit Kwong Yang Tang Institute of Textiles and Clothing The Hong Kong Polytechnic University Hong Kong Hong Kong Polytechnic University Kowloon HK Department of Industrial and Systems Engineering The Hong Kong Polytechnic University Hong Kong The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781479974931

Differential evolution (DE) is a simple but powerful evolutionary algorithm, which has been widely and successfully used in many areas. In this paper, an impulsive control method is introduced to the DE framework, and the impulsive DE (IpDE) is proposed for improving the performance of DE. The impulsive control operation instantly moves the individuals which do not update for continuous pre-defined generations to a desired state based on the individuals with better fitness values in the current population. This way, IpDE controls individuals' positions in the space domain according to the stagnation status of the population. In order to validate the effectiveness of IpDE, the presented framework is applied to the original DE algorithms, as well as several state-of-the-art DE variants. Experimental results exhibit that IpDE is a simple but effective framework to improve the performance of the studied DE algorithms.

关键词： Sociology Statistics optimization Radiation detectors Aerospace electronics Hybrid power systems Evolution (biology)

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Congestion control for Wireless Sensor Networks: A survey

Congestion Control for Wireless Sensor Networks: A survey

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第26届中国控制与决策会议

作者： Hu Yuan NiuYugang Gan Fenghao Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education (East China University of Science and Technology)

ISBN: (纸本)9781479937097

Due to the characteristics of source limited, multi-to-one paths and burst data flow, congestion inevitable happens in wireless sensor networks(WSNs). The control mechanism of congestion for WSNs is of high significant and plays a key role in achieving high QoS of the network. In this paper, many existing congestion control mechanisms have been summarized and compared, some interesting topics have been provided.

关键词： Wireless Sensor Networks Congestion control mechanism Data Transmission

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A Fast Algorithm for Reducing the Computation Burden of Model Predictive control

A Fast Algorithm for Reducing the Computation Burden of Mode...

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第25届中国过程控制会议

作者： Chao Chen Mei Hua Rongbin Qi Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Process （East China University of Science and Technology） Ministry of Education

Most of industrial model-based predictive control algorithms are suffering from heavy computation burden when solving QR optimizations and on-line matrixes multiplication within a limited sampling *** order to optimize this problem,a fast algorithm is proposed,which the real-time values are modulated into bit streams to simplify the multiplication as the bit based operation could extremely decrease the compute *** addition,the control variables are deduced from the prediction horizon to the current control actuation approximately by a recursive relation instead of figuring all of the control actuations out strictly to reduce the matrix dimension.

关键词： Fast MPC Algorithm Computation Burden Bit-Streams processing Dimension Reducing

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

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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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Modeling of ethylene cracking furnace yields based on transfer learning

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Huagong Xuebao/CIESC Journal 2014年第12期65卷 4921-4928页

作者： Zhou, Shuheng Du, Wenli Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China

Ethylene cracker generally utilizes petroleum products as raw materials, and turn the long-chain hydrocarbon molecules into a variety of short chain hydrocarbons like gaseous hydrocarbons and a small amount of liquid hydrocarbons at high temperature, thereby obtaining ethylene, propylene and other products. Establishing the yield model for main products is of great significance to advanced control, operation optimization of the pyrolysis furnace in theory and practice. Due to the semi-continuous and periodic characteristics of cracking furnace, establishing a yield model for each condition is time-consuming. Considering the temperature, residence time and pressure have common effect on product yields, so this article uses these similarities exist in the new and old processes, supplemented with transfer learning to accomplish quick modeling for different conditions. Compared to previous studies, this method can be able to fully exploit the information contained in the historical data from a small amount of new data. Meanwhile, building a model of ethylene in the process of cracking furnace, case studies demonstrate the efficacy of the developed methodology. ©, 2014, chemical Industry Press. All right reserved.

关键词： Ethylene

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Removal of pharmaceutical and personal care products by sequential ultraviolet and ozonation process in a full-scale wastewater treatment plant

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Frontiers of Environmental Science & Engineering 2014年第1期8卷 62-68页

作者： Qian SU Jun HUANG Shuguang LU Shubo DENG Bin WANG Wentao ZHAO Zhaofu QIU Gang YU State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process School of Resources and Environmental Engineering East China University of Science and Technology Shanghai 200237 China School of Environment THU - VEOLIA Joint Research Center for Advanced Environmental Tec'hnolo~y Tsinghua'University Beijing 100084 China State Key Laboratory of Pollution Control and Resource Reuse Tongji University Shanghai 200092 China State Environmental Protection Key Laboratory of Microorganism Application and Risk Control (MARC) Tsinghua University Beijing 10084 China

The application of appropriate advanced treat- ment process in the municipal wastewater treatment plants （WWTPs） has become an important issue considering the elimination of emerging contaminants, such as pharma- ceutical and personal care products （PPCPs）. In the present study, the removal of 13 PPCPs belonging to different therapeutic classes by the sequential ultraviolet （UV） and ozonation process in a full-scale WWTP in Beijing was investigated over the course of ten months. Most of the target PPCPs were effectively removed, and the median removal efficiencies of individual PPCPs, ranging from -13% to 89%, were dependent on their reaction rate constants with molecular ozone. Noticeable fluctuation in the removal efficiencies of the same PPCPs was observed in different sampling campaigns. Nevertheless, the sequential UV and ozonation process still made a significant contribution to the total elimination of most PPCPs in the full-scale WWTP, by compensating for the poor or fluctuant removal performance of PPCPs by biologic treatment process.

关键词： PPCPs advanced treatment ozone fluctua-tion removal contribution

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A synthesis approach to predictive control for networked control systems 33

A synthesis approach to predictive control for networked con...

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Proceedings of the 33rd Chinese control Conference, CCC 2014

作者： Zou, Yuanyuan James, Lam Niu, Yugang Li, Dewei Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China Department of Mechanical Engineering University of Hong Kong Hong Kong Department of Automation Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9789881563842

This paper studies a synthesis approach to predictive control for networked control systems with data loss and quantization. An augmented Markov jump linear model with polytopic uncertainties is modeled to describe the quantization errors and possible data loss. Based on this model, a predictive control synthesis approach is developed, which involves online optimization of a infinite horizon objective and conditions to deal with system constraints. The proposed MPC algorithm guarantees closed-loop mean-square stability and constraints satisfaction. © 2014 TCCT, CAA.

关键词： Networked control systems

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