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Improved performance of process monitoring based on selection of key principal components

Chinese Journal of chemical Engineering 2015年第12期23卷 1951-1957页

作者：宋冰马玉鑫侍洪波 Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and TechnologyMinistry of Education

Conventional principal component analysis(PCA) can obtain low-dimensional representations of original data space, but the selection of principal components(PCs) based on variance is subjective, which may lead to information loss and poor monitoring performance. To address dimension reduction and information preservation simultaneously, this paper proposes a novel PC selection scheme named full variable expression. On the basis of the proposed relevance of variables with each principal component, key principal components can be *** the key principal components serve as a low-dimensional representation of the entire original variables, preserving the information of original data space without information loss. A squared Mahalanobis distance, which is introduced as the monitoring statistic, is calculated directly in the key principal component space for fault detection. To test the modeling and monitoring performance of the proposed method, a numerical example and the Tennessee Eastman benchmark are used.

关键词： Principal component analysis Information loss Fault detection key principal component

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An Improved PLS (IPLS) Method Utilizing Local Standardization Strategy for Multimode process Monitoring

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Journal of Donghua University(English Edition) 2012年第4期29卷 288-294页

作者：马贺贺胡益阎兴頔侍洪波 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

Complex industrial process often contains multiple operating modes, and the challenge of multimode process monitoring has recently gained much attention. However, most multivariate statistical process monitoring (MSPM) methods are based on the assumption that the process has only one nominal mode. When the process data contain different distributions, they may not function as well as in single mode processes. To address this issue, an improved partial least squares (IPLS) method was proposed for multimode process monitoring. By utilizing a novel local standardization strategy, the normal data in multiple modes could be centralized after being standardized and the fundamental assumption of partial least squares (PLS) could be valid again in multimode process. In this way, PLS method was extended to be suitable for not only single mode processes but also multimode processes. The efficiency of the proposed method was illustrated by comparing the monitoring results of PLS and IPLS in Tennessee Eastman(TE) process.

关键词： fault detection multimode process partial least squares (PLS) local standardization data preprocessing

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Adaptive Local Outlier Probability for Dynamic process Monitoring

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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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Distributed predictive control for energy management of multi-microgrids systems

Distributed predictive control for energy management of mult...

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13th IFAC Symposium on Large Scale Complex Systems: Theory and Applications, LSS 2013

作者： Xu, Jun Zou, Yuanyuan Niu, Yugang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China Univ. of Science and Technology Shanghai 200237 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China

In this paper, a distributed model predictive control (DMPC) scheme is presented to optimize the power flow management of microgrids in smart grid environment. For a multi-microgrids system in which local microgrid links with each other through particular channels for power and information, the proposed method can maximize the overall energy efficiency. The DMPC optimization problem is formulated by minimizing the surplus/insufficient energy in each microgrid and a constraint restriction is imposed to guarantee the closed-loop stability. A simulation example is carried out to demonstrate the feasibility and effectiveness of this energy management strategy. © IFAC.

关键词： Electric power distribution

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Removal of Phenanthrene from Contaminated Soil by Ozonation process

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China Petroleum processing & Petrochemical Technology 2020年第3期22卷 73-79页

作者： Yang Yixin Gao Wenfang Yang Jingchao Cao Hongbin Beijing Key Laboratory of Fuels Cleaning and Advanced Catalytic Emission Reduction Technology College of Chemical EngineeringBeijing Institute of Petrochemical TechnologyBeijing 102617 Beijing Engineering Research Centre of Process Pollution Control and Key Laboratory of Green Process and Engineering Institute of Process EngineeringChinese Academy of SciencesBeijing 100190 College of Environmental and Energy Engineering Beijing University of TechnologyBeijing 100124

In order to improve the ozonation efficiency for the remediation of PAHs contaminated soil,the performance experiments were carried out with quartz sand artificially contaminated with *** byproducts of phenanthrene were detected by GC-MS and the toxicity was evaluated by seed germination *** influence of the particle size and moisture content of quartz sand on the ozonation efficiency was *** addition,two kinds of real soil was used to compare with the quartz *** was revealed that the phenanthrene removal rate reached 96%after 600 minutes by using the ozonation *** byproducts of phenanthrene,including 9,10-phenanthrenedione,(1,1’-biphenyl)-2,2’-dicarboxaldehyde,and(1,1’-biphenyl)-2,2’-dicarboxylic acid,were *** proven by seed germination tests,the toxicity of the byproducts was lower than *** phenanthrene was removed more effectively by ozonation in the quartz sand with finer particle *** ozonation efficiency was significantly improved by increasing the moisture content,which is assumed to be related to the alkalinity of quartz sand.

关键词： ozonation phenanthrene quartz sand soil remediation

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Robust Semi-Global Leaderless Consensus and Containment control of Identical Linear Systems with Imperfect Actuators

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Journal of Systems Science & Complexity 2018年第1期31卷 69-86页

作者： SHI Liangren ZHAO Zhiyun LIN Zongli Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai 200240 China Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education Shanghai 200237 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia P.O. Box 400743 Charlottesville VA 22904-4743 USA

This paper investigates both the robust semi-global leaderless consensus problem and the robust semi-global containment control problem for a group of identical linear systems with imperfect actuators. The imperfect actuators are characterized by nonlinearities such as saturation and dead zone and there input output relationships are not precisely known. The dynamics of follower agents are also affected by the input additive disturbances. Low-and-high gain feedback consensus protocols are constructed to solve these problems. More specifically, it is shown that robust semi-global leaderless consensus can be achieved over a connected undirected graph and robust semi-global containment control can be achieved when each follower agent has access to the information of at least one leader agent. Numerical simulation illustrates the theoretical results.

关键词： Consensus containment control dead zone leaderless consensus multi-agent systems saturation

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A chiral spirofluorene-embedded multiple-resonance thermally activated delayed fluorescence emitter for efficient pure-green circularly polarized electroluminescence

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Aggregate 2024年第2期5卷 261-267页

作者： Xu-Feng Luo Shi-Quan Song Xueying Wu Ching-Fai Yip Songliang Cai You-Xuan Zheng State Key Laboratory of Coordination Chemistry Collaborative Innovation Center of Advanced MicrostructuresJiangsu Key Laboratory of Advanced Organic MaterialsSchool of Chemistry and Chemical EngineeringNanjing UniversityNanjingP.R.China GDMPA Key Laboratory for Process Control and Quality Evaluation of Chiral Pharmaceuticals Guangzhou Key Laboratory of Analytical Chemistry for BiomedicineSchool of ChemistrySouth China Normal UniversityGuangzhouP.R.China

The simultaneous achievement of chiral multiple-resonance thermally activated delayed fluorescence(MR-TADF)emitters with narrowband and circularly polarized electroluminescence(CPEL)poses a ***,a MR-TADF emitter,Spiro-BNCz,embedding spirofluorene structure was developed and chiral separated,whose emission peaks at 528 nm in toluene with Commission Internationale de L’Eclairage coordinates of(0.26,0.69).The conjugation extension caused by embedding sulfur substituted spirofluorene on B/N framework shortens the singlettriplet energy gap and increases spin-orbital coupling matrix ***,a fast reverse intersystem crossing rate constant of 2.8×10^(6)s^(−1)and a high photoluminescence efficiency of 92%in film were *** organic light-emitting diode(OLED)exhibits a maximum external quantum efficiency of 32.3%.Particularly,the circularly polarized OLEDs based on Spiro-BNCz enantiomers show symmetric CPEL with dissymmetry factors(|gEL|)≈10^(−3).

关键词： circularly polarized electroluminescence CP-MR-TADF emitter organic light-emitting diode pure green sulfur substituted spirofluorene

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A Knowledge Base System for Operation optimization: Design and Implementation Practice for the Polyethylene process

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Engineering 2019年第6期5卷 1041-1048页

作者： Weimin Zhong Chaoyuan Li Xin Peng Feng Wan Xufeng An Zhou Tian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

Setting up a knowledge base is a helpful way to optimize the operation of the polyethylene process by improving the performance and the ef ciency of reuse of information and knowledge two critical ele- ments in polyethylene smart manufacturing. In this paper, we propose an overall structure for a knowl- edge base based on practical customer demand and the mechanism of the polyethylene process. First, an ontology of the polyethylene process constructed using the seven-step method is introduced as a carrier for knowledge representation and sharing. Next, a prediction method is presented for the molecular weight distribution (MWD) based on a back propagation (BP) neural network model, by analyzing the relationships between the operating conditions and the parameters of the MWD. Based on this network, a differential evolution algorithm is introduced to optimize the operating conditions by tuning the MWD. Finally, utilizing a MySQL database and the Java programming language, a knowledge base system for the operation optimization of the polyethylene process based on a browser/server framework is realized.

关键词： Ontology Operation optimization Knowledge base system Polyethylene process

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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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L2- L∞ State Estimation for Discrete-time Delayed Neural Networks with Missing Measurements and Randomly Occurring Sensor Linearity

L2- L∞ State Estimation for Discrete-time Delayed Neural Ne...

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第35届中国控制会议

作者： Hao Zhang Huaicheng Yan Hongbo Shi Hao Zhang Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education Department of Control Science and Engineering Tongji University

ISBN: (纸本)9781509009107

This paper is concerned with the L-L state estimation problem for discrete-time delay neural networks with missing measurements and randomly occurring sensor *** phenomena of missing measurements and randomly occurring sensor linearity are constructed with two sequences of random variables,which obey the partial Bernoulli distribution.A sufficient condition is firstly given such that the augmented filtering error system is stochastically stable with a guaranteed optimal L-L performance by solving a set of linear matrix inequalities(LMIs).Finally,a simulation example is given to show the effectiveness of the proposed method.

关键词： L2-L∞ state estimation discrete-time delayed neural networks missing measurements randomly occurring sensor linearity

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