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Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 149-156 doi: 10.1007/s11465-010-0008-y

Abstract: technology has been gradually employed to increase the automation and intelligence degree in quality controlusing statistical process control (SPC) method.the fuzzy ART neural network can also be utilized to adaptively detect the abnormal patterns in the control

Keywords： statistical process control (SPC)     fuzzy adaptive resonance theory (ART)     histogram     control chart     time    

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Progress in membrane distillation crystallization: Process models, crystallization control and innovative

Xiaobin Jiang, Linghan Tuo, Dapeng Lu, Baohong Hou, Wei Chen, Gaohong He

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 4,   Pages 647-662 doi: 10.1007/s11705-017-1649-8

Abstract: Membrane distillation crystallization (MDC) is a promising hybrid separation process that has been applied, great progress has been made in MDC technologies including the promotion of nucleation and better controlThese advances are useful for the accurate control of the degree of supersaturation and for the controlThis review focuses on the development of MDC process models and on crystallization control strategies

Keywords： membrane distillation crystallization     mathematics model     nucleation     separation     hybrid process    

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Interfacial induction and regulation for microscale crystallization process: a critical review

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 838-853 doi: 10.1007/s11705-021-2129-8

Abstract: The precise regulation and control of microscale crystal processes is still a major challenge.In the heterogeneous induced nucleation process, the chemical and micro/nanostructural characteristicsshape and pore size, surface porosity, channels), in various microscale crystallization controls and processand development directions are outlined to emphasize the importance of interfacial crystallization control

Keywords： interfacial crystallization     heterogeneous nucleation     supersaturation     micro/nanostructure     processcontrol and intensification    

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Membrane Crystallization for Process Intensification and Control: A Review Review

Xiaobin Jiang, Yushan Shao, Lei Sheng, Peiyu Li, Gaohong He

Engineering 2021, Volume 7, Issue 1,   Pages 50-62 doi: 10.1016/j.eng.2020.06.024

Abstract: Accurate nucleation and growth process control are vitally important but difficult.A novel controlling technology that can simultaneously intensify the overall crystallization processThis review illustrates the basic concepts of MCr and its promising applications for crystallization controland process intensification, including a state-of-the-art review of key MCr-utilized membrane materials, process control mechanisms, and optimization strategies based on diverse hybrid membranes and crystallization

Keywords： Membrane crystallization     Nucleation     Process control     Process intensification    

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Influencing factors and control measures of excavation on adjacent bridge foundation based on analytichierarchy process and finite element method

Shuangxi FENG, Huayang LEI, Yongfeng WAN, Haiyan JIN, Jun HAN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 461-477 doi: 10.1007/s11709-021-0705-0

Abstract: Many uncertain factors in the excavation process may lead to excessive lateral displacement or over-limitedSafety control is pivotal to ensuring the safety of adjacent structures.In this paper, an innovative method is proposed that combines an analytic hierarchy process (AHP) withFinally, two safety control measures for increasing the numbers of support levels and the rooted depths

Keywords： deep foundation pit excavation     adjacent bridge foundation     influencing factors     analytic hierarchy process    

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An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 237-250 doi: 10.1007/s11705-021-2058-6

Abstract: Advanced model-based control strategies, e.g., model predictive control, can offer superior control ofkey process variables for multiple-input multiple-output systems.quality of the system model is critical to controller performance and should adequately describe the processThis procedure successfully identified system models that enabled effective control in both servo andwhich, in the face of process uncertainties or modelling limitations, allow rapid and stable control

Keywords： nonlinear model predictive control     black-box modeling     continuous-time system identification     machinelearning     industrial applications of process control    

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Techno-economic assessment of providing control energy reserves with a biogas plant

Ervin Saracevic, David Woess, Franz Theuretzbacher, Anton Friedl, Angela Miltner

Frontiers of Chemical Science and Engineering 2018, Volume 12, Issue 4,   Pages 763-771 doi: 10.1007/s11705-018-1776-x

Abstract: In this study, the technical and economic effects of providing positive secondary control energy reservesThe findings show that the installed biogas storage capacity is sufficient to provide control energyProfitability of providing control energy reserves largely depends on the prices at the control energy

Keywords： biogas plant     process simulation     control energy reserves     economic assessment     gas storage    

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DE based economic control chart design and application for a typical petrochemical process

Zhi LI, Feng QIAN, Wenli DU, Weimin ZHONG

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 348-356 doi: 10.15302/J-FEM-2017043

Abstract: process.The common process monitoring methods always use and SPE statistic as control limits.In this study, a new economic control chart design method based on the differential evolution (DE) algorithmThe DE algorithm transforms the economic control chart design problem to an optimization problem andThis method is useful in economic control chart design and can provide guidance for the petrochemical

Keywords： petrochemical     PTA     economic control chart design     process monitoring     DE algorithm    

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Novel eco-efficient reactive distillation process for dimethyl carbonate production by indirect alcoholysis

Iulian Patraşcu, Costin S. Bîldea, Anton A. Kiss

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 316-331 doi: 10.1007/s11705-021-2047-9

Abstract: feat that we showed it requires only 2.64 kW·h·kg dimethyl carbonate in a reaction-separation-recycle processMoreover, we propose the use of a reactive distillation column in a heat integrated process to obtainjust 1.25 kW·h·kg dimethyl carbonate, which is about 52% lower than the reaction-separation-recycle processTo benefit from the energy savings, the dynamics and control of the process are provided for ±10% changes

Keywords： dimethyl carbonate     reactive distillation     process design     plantwide control    

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New method for computer numerical control machine tool calibration: Relay method

LIU Huanlao, SHI Hanming, LI Bin, ZHOU Huichen

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 3,   Pages 301-304 doi: 10.1007/s11465-007-0053-3

Abstract: kilogram-meter (KGM) measurement system to identify volumetric errors on the planes of computer numerical controlDuring the process, all position errors on the entire plane table are measured by the equipment, whichThe process outlined above is called the relay method.

Keywords： positional     volumetric     information     process     repeatability    

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A Perspective on Smart Process Manufacturing Research Challenges for Process Systems Engineers

Ian David Lockhart Bogle

Engineering 2017, Volume 3, Issue 2,   Pages 161-165 doi: 10.1016/J.ENG.2017.02.003

Abstract:

The challenges posed by smart manufacturing for the process industries and for process systems engineeringTechnical challenges confronting process systems engineers in developing enabling tools and techniques

Keywords： Smart manufacturing     Process systems engineering     Uncertainty     Flexibility     Optimization     Model-based control    

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Outline of Strip Rolling Technological Control Theory

Zhang Jinzhi

Strategic Study of CAE 2001, Volume 3, Issue 4,   Pages 46-55

Abstract: This system reflects only the static law of rolling process,so it is necessary to control dynamic rollingprocess by drawing high and new technology such as cybernetics, information theory and computer sciencebased on mechanics took the lead before the establishment of spring equation, after that the rolling processcontrol theory based on mechanics and cybernetics took precedence.process;shape theory system, which resembles gauge control theory,by defining dual parameter,is established

Keywords： continuous rolling process control     tension in continuous rolling     gauge control     shape stiffness     spring    

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A pulsed switching peroxi-coagulation process to control hydroxyl radical production and to enhance 2,4

Yaobin Lu, Songli He, Dantong Wang, Siyuan Luo, Aiping Liu, Haiping Luo, Guangli Liu, Renduo Zhang

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 5, doi: 10.1007/s11783-018-1070-7

Abstract:

• A new pulsed switching peroxi-coagulation (PSPC) system was developed.

• The ECT for 2,4-D removal in the PSPC was lower than that in the EF.

• The iron consumption for 2,4-D removal in the PSPC was lower than that in the PC.

Keywords： Pulsed switching peroxi-coagulation system     Energy consumption     Hydroxyl radical production     2     4- Dichlorophenoxyacetic acid    

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Whole-Process Pollution Control for Cost-Effective and Cleaner Chemical Production—A Case Study of the Article

Hongbin Cao, He Zhao, Di Zhang, Chenming Liu, Xiao Lin, Yuping Li, Pengge Ning, Jiajun Sun, Yi Zhang, Zhi Sun

Engineering 2019, Volume 5, Issue 4,   Pages 768-776 doi: 10.1016/j.eng.2019.01.010

Abstract:

In this research, a methodology named whole-process pollution control (WPPC) is demonstrated thatimproves the effectiveness of process optimization.This methodology considers waste/emission treatment as a step of the whole production process with respectto the minimization of cost and environmental impact for the whole process.The following procedures are introduced in a WPPC process optimization: ① a material and energy flow

Keywords： Whole-process pollution control     Process optimization     Industrial pollution     Tungsten    

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Control for Intelligent Manufacturing: A Multiscale Challenge

Han-Xiong Li, Haitao Si

Engineering 2017, Volume 3, Issue 5,   Pages 608-615 doi: 10.1016/J.ENG.2017.05.016

Abstract: manufacturing, all devices and systems should have sensing and basic intelligence capabilities for controlControl action will differ at different scales, with more design being required at both fast and slowThese capabilities will require the control action to be distributed and integrated with different approachesFinally, a typical jet dispensing system is taken as a real-world example for multiscale modeling and control

Keywords： System modeling     Process control     Artificial intelligence     Manufacturing     Jet dispensing    

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Title Author Date Type Operation

Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Journal Article

Progress in membrane distillation crystallization: Process models, crystallization control and innovative

Xiaobin Jiang, Linghan Tuo, Dapeng Lu, Baohong Hou, Wei Chen, Gaohong He

Journal Article

Interfacial induction and regulation for microscale crystallization process: a critical review

Journal Article

Membrane Crystallization for Process Intensification and Control: A Review

Xiaobin Jiang, Yushan Shao, Lei Sheng, Peiyu Li, Gaohong He

Journal Article

Influencing factors and control measures of excavation on adjacent bridge foundation based on analytichierarchy process and finite element method

Shuangxi FENG, Huayang LEI, Yongfeng WAN, Haiyan JIN, Jun HAN

Journal Article

An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

Journal Article

Techno-economic assessment of providing control energy reserves with a biogas plant

Ervin Saracevic, David Woess, Franz Theuretzbacher, Anton Friedl, Angela Miltner

Journal Article

DE based economic control chart design and application for a typical petrochemical process

Zhi LI, Feng QIAN, Wenli DU, Weimin ZHONG

Journal Article

Novel eco-efficient reactive distillation process for dimethyl carbonate production by indirect alcoholysis

Iulian Patraşcu, Costin S. Bîldea, Anton A. Kiss

Journal Article

New method for computer numerical control machine tool calibration: Relay method

LIU Huanlao, SHI Hanming, LI Bin, ZHOU Huichen

Journal Article

A Perspective on Smart Process Manufacturing Research Challenges for Process Systems Engineers

Ian David Lockhart Bogle

Journal Article

Outline of Strip Rolling Technological Control Theory

Zhang Jinzhi

Journal Article

A pulsed switching peroxi-coagulation process to control hydroxyl radical production and to enhance 2,4

Yaobin Lu, Songli He, Dantong Wang, Siyuan Luo, Aiping Liu, Haiping Luo, Guangli Liu, Renduo Zhang

Journal Article

Whole-Process Pollution Control for Cost-Effective and Cleaner Chemical Production—A Case Study of the

Hongbin Cao, He Zhao, Di Zhang, Chenming Liu, Xiao Lin, Yuping Li, Pengge Ning, Jiajun Sun, Yi Zhang, Zhi Sun

Journal Article

Control for Intelligent Manufacturing: A Multiscale Challenge

Han-Xiong Li, Haitao Si

Journal Article