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2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013

作者： Wen-Chi, Chen Fei, Liu Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wu'xi China

ISBN: (纸本)9780769550114

To improve the fault detection efficiency in chemical process monitoring, process data preprocess aiming at filtering noise and eliminating gross errors is valid and effective. In view of the features of chemical process data, a novel hybrid preprocessing method is presented Based on the EEMD denoising and Piecewise Curve Fitting. In this method, a denoising scheme Based on EEMD method is used to remove white noise from the signal. The first order and second order derivative sequences are obtained Based on piecewise fitting of the sampling data of variable signals. The smoothness and continuity of the boundary is guaranteed through weighting the over-lapping data. Compared with traditional filtering, this EEMD and piecewise curve fitting Based filtering does not need to define the coefficients of filter, so it is fully data-driven and adaptive. The simulation and experimental results demonstrate effectiveness of the proposed method. © 2013 IEEE.

关键词： Empirical mode decomposition

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Anti-swelling mechanism of DMDACC on weathered crust elution-deposited rare earth ore

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Journal of Rare Earths 2022年第11期40卷 1803-1811,I0005页

作者： Zhengyan He Rong Zhang Aoyang Sha Qin Zuo Zhigao Xu Ming Wu Ru’an Chi Key Laboratory of Resources Conversion and Pollution Control of the State Ethnic Affairs Commission College of Resources and Environmental ScienceSouth-Central University for NationalitiesWuhan 430074China Key Laboratory for Green Chemical Process of Ministry of Education Wuhan Institute of TechnologyWuhan 430074China

In order to inhibit the swelling of the clay minerals in the in-situ leaching process of weathered crust elution-deposited rare earth ores(WCE-DREO),diallyl dimethyl ammonium chloride(DMDACC)was introduced as an anti-swelling agent and combined with(NH_(4))_(2)SO_(4)as a novel composite leaching *** can be found that the novel composite leaching agent exhibits a good anti-swelling performance and leaching capacity of rare earth,and has great potential on the actual exploitation of *** antiswelling mechanism of DMDACC was studied by characterization *** results show that DMDACC with positive charges can be adsorbed on the clay particles by the electrostatic attraction and hydrogen bonds,and neutralize the negative charge of the clay *** double electrical layers are suppressed and the repulsion force between clay sheets *** causes the clay particles prone to ***,DMDACC can enter the interlayer and expel out the water molecules in *** interlayer spacing is decreased and the hydration swelling of the clay particles is *** can provide a theoretical basis for the development of novel anti-swelling agents.

关键词： DMDACC Weathered crust elution-deposited rare earth ores Anti-swelling Leaching Rare earths

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Reflective Learning for Online Knowledge Distillation 8

Reflective Learning for Online Knowledge Distillation

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8th IEEE International Conference on Computer and Communications, ICCC 2022

作者： Shao, Baitan Chen, Ying Jiangnan University Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Wuxi214122 China

ISBN: (纸本)9781665450515

Great attention has been drawn to knowledge dis-tillation owing to its importance in network deployments in recent years. Conventional knowledge distillation techniques need pre- training of a teacher network and transferring knowledge from the teacher network to a student network. Instead of pre-training the teacher, online knowledge distillation directly utilises collaboration among multiple students to complete the joint training. Online knowledge distillation typically construct a pseudo-teacher with an ensemble of students and uses the pseudo-teacher to distill other students, which may cause severe overfitting due to the potential incorrect predictions. In this work, we propose a reflective learning method for online knowledge distillation to fully exploit the correct knowledge and incorrect information of the training history. To retain the previously produced knowledge, a notebook module and the corresponding update strategy for its records are designed. Furthermore, to keep the reflective intensity on mistakes, an error reflection factor schedule strategy is proposed to adjust the weight on decreasing errors. Comprehensive evaluations are conducted on several public benchmark datasets, including CIFAR-100 and TinyImageNet. The experiment results demonstrate the superi-ority of the proposed approach, whereby DenseNet-40-12 and WRN-20-8 outperform previous methods by 1.79% and 1.35% on CIFAR-100 respectively. © 2022 IEEE.

关键词： Distillation

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

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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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Centralized PI control for high dimensional multivariable systems based on equivalent transfer function

Centralized PI control for high dimensional multivariable sy...

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作者： Luan, Xiaoli Chen, Qiang Liu, Fei Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Institute of Automation Wuxi214122 China

This article presents a new scheme to design full matrix controller for high dimensional multivariable processes based on equivalent transfer function (ETF). Differing from existing ETF method, the proposed ETF is derived directly by exploiting the relationship between the equivalent closed-loop transfer function and the inverse of open-loop transfer function. Based on the obtained ETF, the full matrix controller is designed utilizing the existing PI tuning rules. The new proposed ETF model can more accurately represent the original processes. Furthermore, the full matrix centralized controller design method proposed in this paper is applicable to high dimensional multivariable systems with satisfactory performance. Comparison with other multivariable controllers shows that the designed ETF based controller is superior with respect to design-complexity and obtained performance. © 2014 ISA. Published by Elsevier Ltd. All rights reserved.

关键词： Multivariable systems

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Improved control of distributed parameter systems using wireless sensor and actuator networks:An observer-based method

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Chinese Physics B 2017年第4期26卷 59-65页

作者：江正仙崔宝同楼旭阳庄波 School of Science Jiangnan UniversityWuxi 214122China School of loT Engineering Jiangnan UniversityWuxi 214122China Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Jiangnan UniversityWuxi 214122China

In this paper,the control problem of distributed parameter systems is investigated by using wireless sensor and actuator networks with the observer-based ***,a centralized observer which makes use of the measurement information provided by the fixed sensors is designed to estimate the distributed parameter *** mobile agents,each of which is affixed with a controller and an actuator,can provide the observer-based control for the target *** using Lyapunov stability arguments,the stability for the estimation error system and distributed parameter control system is proved,meanwhile a guidance scheme for each mobile actuator is provided to improve the control performance.A numerical example is finally used to demonstrate the effectiveness and the advantages of the proposed approaches.

关键词： distributed parameter systems wireless sensor and actuator networks mobile actuator observer

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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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Track Association for B-spline Gaussian Mixture PHD Filter using Shape Information 3

Track Association for B-spline Gaussian Mixture PHD Filter u...

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2017 IEEE 第3届信息技术与机电一体化工程国际学术会议(ITOEC 2017)

作者： Peng Li Hongwei Ge Wenhui Wang Key Laboratory of Advanced Process Control for Light Industry(Jiangnan University) Ministry of Education School of Internet of Things Engineering Jiangnan University

The B-spline Gaussian mixture probability hypothesis density(BS-GM-PHD) filter can track an unknown number of extended targets and estimate their ***,the target tracks might be inaccurately

ISBN: (纸本)9781509053643;9781509053636

The B-spline Gaussian mixture probability hypothesis density(BS-GM-PHD) filter can track an unknown number of extended targets and estimate their ***,the target tracks might be inaccurately

关键词： filtering theory Gaussian processes probability splines (mathematics) target tracking shape information Target tracking filtering theory Gaussian processes Track Correlation Targets splines (mathematics) Filters

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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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Robust Attitude Decentralized Tracking control for a 3-DOF Helicopter with Unknown Input Time-delay

Robust Attitude Decentralized Tracking Control for a 3-DOF H...

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第25届中国控制与决策会议

作者： Yao Yu Chang-Yin Sun School of Automation & Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education

ISBN: (纸本)9781467355339

Robust attitude decentralized tracking control problem for a 3-DOF helicopter is investigated. The model of the 3-DOF helicopter is described as a MIMO strict-feedback form system with unknown parameters, bounded disturbances, nonlinear uncertain coupling effects and unknown input-delay. A new design method based on signal compensation technique and back-stepping strategy is proposed. Based on the signal compensation method, at each backstepping design step, a robust controller consists of a nominal controller and a robust compensator. Robust practical tracking stability condition is derived in terms of linear matrix inequalities （LMIs）. Experimental results demonstrate the effectiveness of the proposed control strategy.

关键词： Backstepping robust tracking linear decentralized controller input time-delay.

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