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Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

《机械工程前沿（英文）》 2010年 第5卷 第2期   页码 149-156 doi: 10.1007/s11465-010-0008-y

摘要： With the automation development of manufacturing processes, artificial intelligence technology has been gradually employed to increase the automation and intelligence degree in quality control using statistical process control (SPC) method. In this paper, an SPC method based on a fuzzy adaptive resonance theory (ART) neural network is presented. The fuzzy ART neural network is applied to recognize the special disturbance of the manufacturing processes based on the classification on the histograms, which shows that the fuzzy ART neural network can adaptively learn the features of the histograms of the quality parameters in manufacturing processes. As a result, the special disturbance can be automatically detected when a feature of the special disturbance starts to appear in the histograms. At the same time, combined with spectrum analysis of the autoregressive model of quality parameters, the fuzzy ART neural network can also be utilized to adaptively detect the abnormal patterns in the control chart.

关键词： statistical process control (SPC)     fuzzy adaptive resonance theory (ART)     histogram     control chart     time series analysis    

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

Youliang DING, Aiqun LI

《结构与土木工程前沿（英文）》 2011年 第5卷 第3期   页码 374-380 doi: 10.1007/s11709-011-0122-x

摘要： This paper addresses the problem of condition assessment of bridge expansion joints using long-term measurement data under changing environmental conditions. The effects of temperature, traffic loading and wind on the expansion joint displacements are analyzed and interpreted, which reveal that measured displacements are observed to increase with an increase in temperature and to decrease with increased traffic loading, while the correlation between displacement and wind speed is very weak. Two regression models are developed to simulate the varying displacements under the changes in temperature and traffic loadings. Based on these models, the effects of the environmental conditions are removed to obtain the normalized displacement. Statistical process control using mean value control charts is further used to detect damage to the bridge expansion joints. The results reveal that the proposed method had a good capability for detecting the damage-induced 1.0% variances of the annual changes in the expansion joint displacements.

关键词： structural health monitoring     displacement     expansion joint     temperature effect     wind effect     traffic loading     statistical process 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

《化学科学与工程前沿（英文）》 2017年 第11卷 第4期   页码 647-662 doi: 10.1007/s11705-017-1649-8

摘要： Membrane distillation crystallization (MDC) is a promising hybrid separation process that has been applied to seawater desalination, brine treatment and wastewater recovery. In recent years, great progress has been made in MDC technologies including the promotion of nucleation and better control of crystallization and crystal size distribution. These advances are useful for the accurate control of the degree of supersaturation and for the control of the nucleation kinetic processes. This review focuses on the development of MDC process models and on crystallization control strategies. In addition, the most important innovative applications of MDC in the last five years in crystal engineering and pharmaceutical manufacturing are summarized.

关键词： membrane distillation crystallization     mathematics model     nucleation     separation     hybrid process    

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

《化学科学与工程前沿（英文）》 2022年 第16卷 第6期   页码 838-853 doi: 10.1007/s11705-021-2129-8

摘要： Microscale crystallization is at the frontier of chemical engineering, material science, and biochemical research and is affected by many factors. 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 characteristics of the interface play a dominant role. Ideal crystal products can be obtained by modifying the interface characteristics, which has been proven to be a promising strategy. This review illustrates the application of interface properties, including chemical characteristics (hydrophobicity and functional groups) and the morphology of micro/nanostructures (rough structure and cavities, pore shape and pore size, surface porosity, channels), in various microscale crystallization controls and process intensification. Finally, possible future research and development directions are outlined to emphasize the importance of interfacial crystallization control and regulation for crystal engineering.

关键词： interfacial crystallization     heterogeneous nucleation     supersaturation     micro/nanostructure     process control and intensification    

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Estimating the effects of meteorology on PM

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

《环境科学与工程前沿（英文）》 2011年 第5卷 第3期   页码 331-341 doi: 10.1007/s11783-011-0307-5

摘要： Particulate pollution was a critical challenge to the promise of good air quality during the 2008 Beijing Olympic Games, which took place from August 8th to 24th. To ensure good air quality for the Games, several temporary emission control measures were implemented in Beijing and surrounding areas. Ambient particulate matter concentration decreased significantly during the Olympic period; however, it is difficult to distinguish the effectiveness of those control measures since meteorology also affects ambient PM concentration. In this work, a multiple linear regression model based on continuous field monitoring at a roadside site was conducted to evaluate the effects of meteorology and emission control measures on the reduction of PM during the 2008 Olympic Games. The 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. The response variable was PM and the meteorology covariates used in the model were hourly temperature, dew point temperature, wind speed and precipitation. Wind direction was not a significant predictor of PM levels in either the control or the no control period. Using the meteorologically-based regression coefficients from the two time periods, meteorology was found to contribute to at least a 16% reduction in PM levels in the roadside microenvironment; while the pollution control measures contributed to at least a 43% reduction in PM levels.

关键词： 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

《医学前沿（英文）》 2007年 第1卷 第4期   页码 433-437 doi: 10.1007/s11684-007-0085-4

摘要： The effect of peripherally administered oxytocin (OT) on gastric ischemia-reperfusion injury (GI-RI) and its possible mechanism were investigated. The Sprague-Dawley (SD) rats were randomly divided into different treatment groups ( = 6). The animal GI-RI model was established by clamping the celiac artery for 30 min to induce ischemia and then released to allow reperfusion for 1 h, and the degree of GI-RI was assessed by scoring the gastric mucosal damage index (GMDI), the gastric fluid output, gastric fluid output, gastric acidity were measured and the surgical preparations of vagotomy and sympathectomy were used to investigate the possible mechanism of OT on GI-RI. The results were as follows. Compared with the control group (NS plus GI-R only, GMDI 121.33±10.40, = 6), the intra peritoneal (ip) administration of oxytocin (20, 100 μg/0.5 mL) obviously attenuated GI-RI (<0.05), GMDI were 82.33±14.26, 53.5±5.58 respectively ( = 6); the gastric fluid output and the gastric acidity (evaluated by pH) of the control group were (430.17±87.36) μL, 1.55±0.25 ( = 6), and those of the OT group were (102.45±48.00) μL, 2.65±0.40 ( = 6) res pectively; differences had statistical significance (<0.01). The effect of oxytocin was reversed by atosiban, a selective oxytocin receptor antagonist. The GMDI of the group given atosiban 10 min before OT was 138.17±24.06 ( = 6), which had no significant difference with the control group. Oxytocin further attenuated GI-RI after vagotomy and sympathectomy (GMDI 6.83±8.89, 29.67±5.54, = 6), compared with the GI-R group and the oxytocin group (<0.01). These results indicated that the oxytocin could significantly protect gastric mucosal against injury induced by ischemia-reperfusion, and the oxytocin receptor was involved. This effect of oxytocin may be mediated through the vagus and sympathetic nerve, and then lead to the reduction of gastric juice output and the depression of gastric acidity.

关键词： control     significant difference     surgical     statistical significance     Sprague-Dawley    

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膜结晶过程强化与控制研究进展 Review

姜晓滨, 邵钰珊, 盛磊, 李培钰, 贺高红

《工程（英文）》 2021年 第7卷 第1期   页码 50-62 doi: 10.1016/j.eng.2020.06.024

摘要：

结晶是用于固体颗粒制备的基本分离技术，其中成核和生长过程的精确调控至关重要。目前，发展同时增强整个结晶过程的新型控制技术仍然面临巨大挑战。膜结晶（MCr）是一种新兴耦合技术，近年来取得了长足的进步，有望实现上述目标。本文综述了MCr的基本概念及其在结晶控制和过程强化中的应用前景，对MCr用的关键膜材料、过程控制机制以及基于多种混合膜和结晶工艺的优化策略进行简述。最后，概述了将MCr技术推广到工业应用的尝试，以及需要解决的问题和研究方向。

关键词： 膜结晶     成核     过程控制     过程强化    

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Factor analysis for the statistical modeling of earthquake-induced landslides

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

《结构与土木工程前沿（英文）》 2020年 第14卷 第1期   页码 123-126 doi: 10.1007/s11709-019-0582-y

摘要： 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.

关键词： 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

《医学前沿（英文）》 2011年 第5卷 第2期   页码 203-207 doi: 10.1007/s11684-011-0138-6

摘要： Traditional Chinese medicine (TCM) is one of the rarely existing ancient traditional medicines that hold systematic theories as well as preventative and therapeutic methods for diseases in practice. From the 1950s, such research methods as mathematics, statistics, and data mining (DM) have been gradually introduced to TCM studies, making it more scientific. Meanwhile, the distinct features of TCM theories and diagnostic-model have constantly challenged the methodology of statistics. This paper introduces the following scientific features of traditional Chinese therapeutics: 1) its goal is to balance the functions and conditions of human body; 2) it emphasizes on holism and individualization; 3) it stresses the longitudinal regulation and evaluation mode, which is a circle of syndrome diagnosis, treatment and evaluation; 4) the interventions of TCM are abundant, compound and natural; and 5) humanistic thought is everywhere. Some statistical problems are raised based on these features. First, complex statistical methods that can analyze subjective indexes and latent variables, multidimensional and multistage data, non-equilibrium designed studies, and longitudinal data are required. Second, comprehensive evaluation on multiple-target mechanism has been brought in by combination treatment. Third, there is a need to analyze how humanity and related cultural factors may influence the effect of interventions. Thus, promoting implemented studies of statistics as well as carrying out the TCM scientific propositions have become the common expectations of both TCM and modern medicine.

关键词： 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

《结构与土木工程前沿（英文）》 2021年 第15卷 第2期   页码 461-477 doi: 10.1007/s11709-021-0705-0

摘要： Many uncertain factors in the excavation process may lead to excessive lateral displacement or over-limited internal force of the piles, as well as inordinate settlement of soil surrounding the existing bridge foundation. Safety 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) with a finite element method (FEM) to reveal the potential impact risk of uncertain factors on the surrounding environment. The AHP was adopted to determine key influencing factors based on the weight of each influencing factor. The FEM was used to quantify the impact of the key influencing factors on the surrounding environment. In terms of the AHP, the index system of uncertain factors was established based on an engineering investigation. A matrix comparing the lower index layer to the upper index layer, and the weight of each influencing factor, were calculated. It was found that the excavation depth and the distance between the foundation pit and the bridge foundation were fundamental factors. For the FEM, the FE baseline model was calibrated based on the case of no bridge surrounding the foundation pit. The consistency between the monitoring data and the numerical simulation data for a ground settlement was analyzed. FE simulations were then conducted to quantitatively analyze the degree of influence of the key influencing factors on the bridge foundation. Furthermore, the lateral displacement of the bridge pile foundation, the internal force of the piles, and the settlement of the soil surrounding the pile foundation were emphatically analyzed. The most hazardous construction condition was also determined. Finally, two safety control measures for increasing the numbers of support levels and the rooted depths of the enclosure structure were suggested. A novel method for combining AHP with FEM can be used to determine the key influencing aspects among many uncertain factors during a construction, which can provide some beneficial references for engineering design and construction.

关键词： deep foundation pit excavation     adjacent bridge foundation     influencing factors     analytic hierarchy process     finite element    

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Recent development on statistical methods for personalized medicine discovery

null

《医学前沿（英文）》 2013年 第7卷 第1期   页码 102-110 doi: 10.1007/s11684-013-0245-7

摘要：

It is well documented that patients can show significant heterogeneous responses to treatments so the best treatment strategies may require adaptation over individuals and time. Recently, a number of new statistical methods have been developed to tackle the important problem of estimating personalized treatment rules using single-stage or multiple-stage clinical data. In this paper, we provide an overview of these methods and list a number of challenges.

关键词： dynamic treatment regimes     personalized medicine     reinforcement learning     Q-learning    

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Statistical considerations for genomic selection

Huimin KANG, Lei ZHOU, Jianfeng LIU

《农业科学与工程前沿（英文）》 2017年 第4卷 第3期   页码 268-278 doi: 10.15302/J-FASE-2017164

摘要： Genomic selection is becoming increasingly important in animal and plant breeding, and is attracting greater attention for human disease risk prediction. This review covers the most commonly used statistical methods and some extensions of them, i.e., ridge regression and genomic best linear unbiased prediction, Bayesian alphabet, and least absolute shrinkage and selection operator. Then it discusses the measurement of the performance of genomic selection and factors affecting the prediction of performance. Among the measurements of prediction performance, the most important and commonly used measurement is prediction accuracy. In simulation studies where true breeding values are available, accuracy of genomic estimated breeding value can be calculated directly. In real or industrial data studies, either training-testing approach or -fold cross-validation is commonly employed to validate methods. Factors influencing the accuracy of genomic selection include linkage disequilibrium between markers and quantitative trait loci, genetic architecture of the trait, and size and composition of the training population. Genomic selection has been implemented in the breeding programs of dairy cattle, beef cattle, pigs and poultry. Genomic selection in other species has also been intensively researched, and is likely to be implemented in the near future.

关键词： 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

《环境科学与工程前沿（英文）》 2014年 第8卷 第6期   页码 895-904 doi: 10.1007/s11783-014-0736-z

摘要： This study evaluated the temporal and spatial variations of water quality data sets for the Xin'anjiang River through the use of multivariate statistical techniques, including cluster analysis (CA), discriminant analysis (DA), correlation analysis, and principal component analysis (PCA). The water samples, measured by ten parameters, were collected every month for three years (2008–2010) from eight sampling stations located along the river. The hierarchical CA classified the 12 months into three periods (First, Second and Third Period) and the eight sampling sites into three groups (Groups 1, 2 and 3) based on seasonal differences and various pollution levels caused by physicochemical properties and anthropogenic activities. DA identified three significant parameters (temperature, pH and ) to distinguish temporal groups with close to 76% correct assignment. The DA also discovered five parameters (temperature, electricity conductivity, total nitrogen, chemical oxygen demand and total phosphorus) for spatial variation analysis, with 80.56% correct assignment. The non–parametric correlation coefficient (Spearman R) explained the relationship between the water quality parameters and the basin characteristics, and the GIS made the results visual and direct. The PCA identified four PCs for Groups 1 and 2, and three PCs for Group 3. These PCs captured 68.94%, 67.48% and 70.35% of the total variance of Groups 1, 2 and 3, respectively. Although natural pollution affects the Xin'anjiang River, the main sources of pollution included agricultural activities, industrial waste, and domestic wastewater.

关键词： 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

《化学科学与工程前沿（英文）》 2022年 第16卷 第2期   页码 237-250 doi: 10.1007/s11705-021-2058-6

摘要： Advanced model-based control strategies, e.g., model predictive control, can offer superior control of key process variables for multiple-input multiple-output systems. The quality of the system model is critical to controller performance and should adequately describe the process dynamics across its operating range while remaining amenable to fast optimization. This work articulates an integrated system identification procedure for deriving black-box nonlinear continuous-time multiple-input multiple-output system models for nonlinear model predictive control. To showcase this approach, five candidate models for polynomial and interaction features of both output and manipulated variables were trained on simulated data and integrated into a nonlinear model predictive controller for a highly nonlinear continuous stirred tank reactor system. This procedure successfully identified system models that enabled effective control in both servo and regulator problems across wider operating ranges. These controllers also had reasonable per-iteration times of ca. 0.1 s. This demonstration of how such system models could be identified for nonlinear model predictive control without prior knowledge of system dynamics opens further possibilities for direct data-driven methodologies for model-based control which, in the face of process uncertainties or modelling limitations, allow rapid and stable control over wider operating ranges.

关键词： nonlinear model predictive control     black-box modeling     continuous-time system identification     machine learning     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

《化学科学与工程前沿（英文）》 2018年 第12卷 第4期   页码 763-771 doi: 10.1007/s11705-018-1776-x

摘要：

Grid stability is being challenged by the increasing integration of power plants with volatile power generation into the energy system. Power supply fluctuations must be compensated by energy system flexibility. The storability of the energy carrier enables biogas plants to generate power flexibly. In this study, the technical and economic effects of providing positive secondary control energy reserves with an Austrian biogas plant were assessed. The plant’s main focus lies in biomethane production with the option of heat and power generation through combined heat and power (CHP) units. A detailed simulation model of the investigated biogas plant was developed, which is presented in this work. Ex-post simulations of one year of flexible plant operation were conducted with this model. The findings show that the installed biogas storage capacity is sufficient to provide control energy reserves while simultaneously producing biomethane. Profitability of providing control energy reserves largely depends on the prices at the control energy market and on CHP unit start-up costs. A cost efficiency analysis demonstrated that investing in a hot water tank with a volume of 5 m3 for short-term heat storage turned out to be economically viable.

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

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标题 作者 时间 类型 操作

Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

期刊论文

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

Youliang DING, Aiqun LI

期刊论文

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

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

期刊论文

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

期刊论文

Estimating the effects of meteorology on PM

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

期刊论文

Effect of oxytocin on gastric ischemia-reperfusion injury in rats

ZHANG Wenwen, ZHANG Jianfu, ZHANG Yongmei, XU Ming

期刊论文

膜结晶过程强化与控制研究进展

姜晓滨, 邵钰珊, 盛磊, 李培钰, 贺高红

期刊论文

Factor analysis for the statistical modeling of earthquake-induced landslides

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

期刊论文

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

Jingqing Hu, Jie Qiao, Deying Kang, Baoyan Liu

期刊论文

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

期刊论文

Recent development on statistical methods for personalized medicine discovery

null

期刊论文

Statistical considerations for genomic selection

Huimin KANG, Lei ZHOU, Jianfeng LIU

期刊论文

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

Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG

期刊论文

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

期刊论文

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

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

期刊论文