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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.In this paper, an SPC method based on a fuzzy adaptive resonance theory (ART) neural network is presentedthe 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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Assessment of bridge expansion joints using long-term displacement measurement under changing environmental conditions

Youliang DING, Aiqun LI

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 3,   Pages 374-380 doi: 10.1007/s11709-011-0122-x

Abstract: Statistical process control using mean value control charts is further used to detect damage to the bridge

Keywords： structural health monitoring     displacement     expansion joint     temperature effect     wind effect     traffic loading     statisticalprocess control     suspension bridge    

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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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Estimating the effects of meteorology on PM

Liu YANG, Ye WU, Jerry M. DAVIS, Jiming HAO

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 3,   Pages 331-341 doi: 10.1007/s11783-011-0307-5

Abstract: To ensure good air quality for the Games, several temporary emission control measures were implementedfield monitoring at a roadside site was conducted to evaluate the effects of meteorology and emission controlThe hourly data set was divided into two time periods, the no control period, June 22nd to July 4th,and the control period, July 28th to August 21st.Wind direction was not a significant predictor of PM levels in either the control or the no control

Keywords： meteorology     emission control measures     Beijing Olympic Games     PM2.5     linear statistical models    

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Effect of oxytocin on gastric ischemia-reperfusion injury in rats

ZHANG Wenwen, ZHANG Jianfu, ZHANG Yongmei, XU Ming

Frontiers of Medicine 2007, Volume 1, Issue 4,   Pages 433-437 doi: 10.1007/s11684-007-0085-4

Abstract: Compared with the control group (NS plus GI-R only, GMDI 121.33±10.40, = 6), the intra peritoneal (ip5.58 respectively ( = 6); the gastric fluid output and the gastric acidity (evaluated by pH) of the control, and those of the OT group were (102.45±48.00) μL, 2.65±0.40 ( = 6) res pectively; differences had statisticalgiven atosiban 10 min before OT was 138.17±24.06 ( = 6), which had no significant difference with the control

Keywords： control     significant difference     surgical     statistical significance     Sprague-Dawley    

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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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Factor analysis for the statistical modeling of earthquake-induced landslides

Jeng-Wen LIN, Meng-Hsun HSIEH, Yu-Jen LI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 1,   Pages 123-126 doi: 10.1007/s11709-019-0582-y

Abstract: Earthquake-induced landslides are difficult to assess and predict owing to the inherent unpredictability of earthquakes. In most existing studies, the landslide potential is statistically assessed by collecting and analyzing the data of historical landslide events and earthquake observation records. Unlike rainfall-induced landslides, earthquake-induced landslides cannot be predicted in advance using real-time monitoring systems, and the development of the models for these landslides should instead depend on early earthquake warnings and estimations. Hence, in this study, factor analysis was performed and the frequency distribution method was employed to investigate the potential risk of the landslides caused by earthquakes. Factors such as the slope gradient, lithology (geology), aspect, and elevation were selected and classified as influential factors to facilitate the construction of a landslide database for the area of study.

Keywords： earthquake     factor analysis     slope landslides     statistical modeling    

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Analysis on the distinguishing features of traditional Chinese therapeutics and related statistical issues

Jingqing Hu, Jie Qiao, Deying Kang, Baoyan Liu

Frontiers of Medicine 2011, Volume 5, Issue 2,   Pages 203-207 doi: 10.1007/s11684-011-0138-6

Abstract: Some statistical problems are raised based on these features.First, complex statistical methods that can analyze subjective indexes and latent variables, multidimensional

Keywords： traditional Chinese therapeutics     feature     statistic    

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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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Recent development on statistical methods for personalized medicine discovery

Yingqi Zhao, Donglin Zeng

Frontiers of Medicine 2013, Volume 7, Issue 1,   Pages 102-110 doi: 10.1007/s11684-013-0245-7

Abstract: Recently, a number of new statistical methods have been developed to tackle the important problem of

Keywords： dynamic treatment regimes     personalized medicine     reinforcement learning     Q-learning    

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Statistical considerations for genomic selection

Huimin KANG, Lei ZHOU, Jianfeng LIU

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3,   Pages 268-278 doi: 10.15302/J-FASE-2017164

Abstract: This review covers the most commonly used statistical methods and some extensions of them, i.e., ridge

Keywords： genomic estimated breeding value     genomic selection     linkage disequilibrium     statistical methods    

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Assessment of temporal and spatial variations in water quality using multivariate statistical methods

Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 6,   Pages 895-904 doi: 10.1007/s11783-014-0736-z

Abstract: spatial variations of water quality data sets for the Xin'anjiang River through the use of multivariate statistical

Keywords： Xin'anjiang River     multivariable statistical analysis     temporal variation     spatial variation     water quality    

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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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Title Author Date Type Operation

Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Journal Article

Assessment of bridge expansion joints using long-term displacement measurement under changing environmental conditions

Youliang DING, Aiqun LI

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

Estimating the effects of meteorology on PM

Liu YANG, Ye WU, Jerry M. DAVIS, Jiming HAO

Journal Article

Effect of oxytocin on gastric ischemia-reperfusion injury in rats

ZHANG Wenwen, ZHANG Jianfu, ZHANG Yongmei, XU Ming

Journal Article

Membrane Crystallization for Process Intensification and Control: A Review

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

Journal Article

Factor analysis for the statistical modeling of earthquake-induced landslides

Jeng-Wen LIN, Meng-Hsun HSIEH, Yu-Jen LI

Journal Article

Analysis on the distinguishing features of traditional Chinese therapeutics and related statistical issues

Jingqing Hu, Jie Qiao, Deying Kang, Baoyan Liu

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

Recent development on statistical methods for personalized medicine discovery

Yingqi Zhao, Donglin Zeng

Journal Article

Statistical considerations for genomic selection

Huimin KANG, Lei ZHOU, Jianfeng LIU

Journal Article

Assessment of temporal and spatial variations in water quality using multivariate statistical methods

Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG

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