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Fuzzy cluster analysis of tapered roller bearing vibration

Liu Jinjun,Xia Xintao,Zhang Lihong

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 112-117

Abstract:

By using the fuzzy cluster analysis of grey system theory to analysis

Keywords： tapered roller bearing     vibration     fuzzy cluster analysis    

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Understanding high-emitting households in the UK through a cluster analysis

Xinfang WANG, Ming MENG

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 612-625 doi: 10.1007/s11708-019-0647-6

Abstract: It applies a cluster approach, aiming to identify whether the high emitters comprise clusters where householdsin each cluster share similar characteristics but are different from the others.Policymakers should target each high-emitter cluster differently to reduce CO emissions from energy

Keywords： cluster analysis     emissions reduction     energy use     high emitters     household energy consumption     socioeconomic    

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Determination of the principal factors of river water quality through cluster analysis method and its

Liang GUO, Ying ZHAO, Peng WANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 238-245 doi: 10.1007/s11783-011-0382-7

Abstract: To enhance the prediction accuracy, principal factors were determined through the analysis of the weightrelation between influencing factors and forecasting object using cluster analysis method, which optimized

Keywords： water quality forecast     principal factor     cluster analysis method     artificial neural network    

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An integrated approach to site-specific management zone delineation

Yuxin MIAO, David J. MULLA, Pierre C. ROBERT

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 4,   Pages 432-441 doi: 10.15302/J-FASE-2018230

Abstract:

Dividing fields into a few relatively homogeneous management zones (MZ) is a practical and cost-effective approach to precision agriculture. There are three basic approaches to MZ delineation using soil and/or landscape properties, yield information, and both sources of information. The objective of this study is to propose an integrated approach to delineating site-specific MZ using relative elevation, organic matter, slope, electrical conductivity, yield spatial trend map, and yield temporal stability map (ROSE-YSTTS) and evaluate it against two other approaches using only soil and landscape information (ROSE) or clustering multiple year yield maps (CMYYM). The study was carried out on two no-till corn-soybean rotation fields in eastern Illinois, USA. Two years of nitrogen (N) rate experiments were conducted in Field B to evaluate the delineated MZs for site-specific N management. It was found that in general the ROSE approach was least effective in accounting for crop yield variability (8.0%–9.8%), while the CMYYM approach was least effective in accounting for soil and landscape (8.9%–38.1%), and soil nutrient and pH variability (9.4%–14.5%). The integrated ROSE-YSTTS approach was reasonably effective in accounting for the three sources of variability (38.6%–48.9%, 16.1%–17.3% and 13.2%–18.7% for soil and landscape, nutrient and pH, and yield variability, respectively), being either the best or second best approach. It was also found that the ROSE-YSTTS approach was effective in defining zones with high, medium and low economically optimum N rates. It is concluded that the integrated ROSE-YSTTS approach combining soil, landscape and yield spatial-temporal variability information can overcome the weaknesses of approaches using only soil, landscape or yield information, and is more robust for MZ delineation. It also has the potential for site-specific N management for improved economic returns. More studies are needed to further evaluate their appropriateness for precision N and crop management.

Keywords： economically optimum nitrogen rate     fuzzy cluster analysis     precision nitrogen management     site-specific    

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Pattern Recognition With Fuzzy Central Clustering Algorithms

Zen Huanglin,Yuan Hui,Liu Xiaofang

Strategic Study of CAE 2004, Volume 6, Issue 11,   Pages 33-37

Abstract: >Based on optimization of constrained nonlinear programming, an approach of clustering center and a fuzzyAn unsupervised algorithm with recursive expression and a fuzzy central cluster neural network are suggestedThe fuzzy central cluster neural network proposed here can realize crisp decision or fuzzy decision in

Keywords： fuzzy sets     central cluster     pattern recognition     neural network    

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Application of entropy-based fuzzy matter-element analysis in seepage monitoring of RCC dam

Chongshi GU, Zhijun ZHANG, Xin CAI, Yue HOU

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 1,   Pages 105-111 doi: 10.1007/s11709-010-0015-4

Abstract: Taking account of the fuzzy results of the seepage monitoring analysis of roller compacted concrete (RCC) dam and uncertainties of the individual indicator evaluation, the fuzzy matter-element model ofseepage monitoring of RCC dam analysis has been established with the use of the fuzzy matter-elementanalysis theory and the concept of euclid approach degree.And further the example shows that the analysis of entropy-based fuzzy matter-element analysis model

Keywords： information entropy     fuzzy matter-element     roller compacted concrete (RCC) dam     seepage analysis    

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Uncertainty assessment in hydro-mechanical-coupled analysis of saturated porous medium applying fuzzy

Farhoud KALATEH, Farideh HOSSEINEJAD

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 387-410 doi: 10.1007/s11709-019-0601-z

Abstract: The purpose of the present study was to develop a fuzzy finite element method, for uncertainty quantificationInput parameters included fuzzy numbers of Poisson’s ratio, Young’s modulus, and permeability coefficientbounds of input parameters to reveal soil response including displacement and pore water pressure via fuzzyFuzzy analysis procedure was verified, and several numerical examples were analyzed by the developedmethod, including a dynamic analysis of elastic soil column and elastic foundation under ramp loading

Keywords： fuzzy finite element method     saturated soil     hydro-mechanical coupled equations     coupled analysis     uncertaintyanalysis    

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Cluster analysis for syndromes of real-world coronary heart disease with angina pectoris

Yufeng Zhao, Xueyun Yu, Xinyu Cao, Lin Luo, Liyun He, Shusong Mao, Li Ma, Peijing Rong, Yuxue Zhao, Guozheng Li, Baoyan Liu

Frontiers of Medicine 2018, Volume 12, Issue 5,   Pages 566-571 doi: 10.1007/s11684-017-0556-1

Abstract: Syndromes were automatically extracted with the cluster method and were analyzed to provide objective

Keywords： syndrome differentiation     real-world study     coronary heart disease with angina pectoris     cluster analysis    

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Design of tandem genes cluster for isoflavone engineering

Xunli XIA PhD , Guangxiao YANG PhD , Guangyuan HE PhD ,

Frontiers of Medicine 2009, Volume 3, Issue 3,   Pages 292-296 doi: 10.1007/s11684-009-0057-y

Abstract: In this paper, a universal effective novel method of constructing tandem genes cluster for isoflavoneA tandem genes cluster () of secondary metabolites of plant isoflavones was constructed by using the

Keywords： isoflavones engineering     secondary metabolism     tandem genes cluster    

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Well-being analysis of GSU transformer insulation incorporating the impact on power generation usingfuzzy logic

Alagarsamy KRISHNAVEL, Dusmata Kumar MOHANTA, M. Jaya Bharata REDDY

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 288-299 doi: 10.1007/s11708-013-0265-7

Abstract: As the predication related to failure of a GSU transformer is associated with some uncertainties, a fuzzyapproach is employed in this paper along with actual field data and case studies for the well-being analysis

Keywords： generator step-up (GSU) transformer     well-being analysis     dissolved gases in oil analysis (DGA)     tan delta(TD)     sweep frequency response analysis (SFRA)     fuzzy inference system (FIS)    

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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: In this paper, an SPC method based on a fuzzy adaptive resonance theory (ART) neural network is presentedThe fuzzy ART neural network is applied to recognize the special disturbance of the manufacturing processesbased on the classification on the histograms, which shows that the fuzzy ART neural network can adaptivelyAt 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

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

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Scaling up of cluster beam deposition technology for catalysis application

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 6,   Pages 1360-1379 doi: 10.1007/s11705-021-2101-7

Abstract: Many research works have demonstrated that the combination of atomically precise cluster deposition andtheoretical calculations is able to address fundamental aspects of size-effects, cluster-support interactions, and reaction mechanisms of cluster materials.In this review, we introduce the latest progress on three types of cluster source which have the mostsource, and matrix assembly cluster source.

Keywords： nanoparticle     cluster     cluster beam deposition     magnetron sputtering     heterogeneous catalysis    

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A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 414-428 doi: 10.1007/s11705-017-1663-x

Abstract: Root cause analysis (RCA) of abnormal aluminum electrolysis cell condition has long been a challengingIn view of this, a method based on Fuzzy-Bayesian network to construct multi-source knowledge solidificationThe proposed method was verified under 20 sets of abnormal cell conditions, and implements root cause analysis

Keywords： abnormal aluminum electrolysis cell condition     Fuzzy-Bayesian network     multi-source knowledge solidificationand reasoning     root cause analysis    

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A Study on Evaluation Method of Manufacturing Enterprise Informatization

Wang Huiming,Qi Ershi,Wang Huimin

Strategic Study of CAE 2004, Volume 6, Issue 8,   Pages 86-90

Abstract:

Using the factor analysis approach, the paper makes quantitative analysis and comprehensive evaluationThen, the method of cluster analysis is adopted to classify enterprises in order to find out their advantages

Keywords： manufacturing enterprise informatization     factor analysis     cluster analysis    

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SHIFTING TO A RECOMMENDED DIETARY PATTERN COULD PROMOTE SUSTAINABLE DEVELOPMENT OF THE ENVIRONMENT AND HUMAN HEALTH

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 1,   Pages 73-82 doi: 10.15302/J-FASE-2023489

Abstract:

● Shifting from the existing dietary patterns to the alternative recommended dietary pattern could enhance the sustainable development of environment and human health.

Keywords： CHNS data     cluster analysis     dietary patterns     sustainable development    

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Title Author Date Type Operation

Fuzzy cluster analysis of tapered roller bearing vibration

Liu Jinjun,Xia Xintao,Zhang Lihong

Journal Article

Understanding high-emitting households in the UK through a cluster analysis

Xinfang WANG, Ming MENG

Journal Article

Determination of the principal factors of river water quality through cluster analysis method and its

Liang GUO, Ying ZHAO, Peng WANG

Journal Article

An integrated approach to site-specific management zone delineation

Yuxin MIAO, David J. MULLA, Pierre C. ROBERT

Journal Article

Pattern Recognition With Fuzzy Central Clustering Algorithms

Zen Huanglin,Yuan Hui,Liu Xiaofang

Journal Article

Application of entropy-based fuzzy matter-element analysis in seepage monitoring of RCC dam

Chongshi GU, Zhijun ZHANG, Xin CAI, Yue HOU

Journal Article

Uncertainty assessment in hydro-mechanical-coupled analysis of saturated porous medium applying fuzzy

Farhoud KALATEH, Farideh HOSSEINEJAD

Journal Article

Cluster analysis for syndromes of real-world coronary heart disease with angina pectoris

Yufeng Zhao, Xueyun Yu, Xinyu Cao, Lin Luo, Liyun He, Shusong Mao, Li Ma, Peijing Rong, Yuxue Zhao, Guozheng Li, Baoyan Liu

Journal Article

Design of tandem genes cluster for isoflavone engineering

Xunli XIA PhD , Guangxiao YANG PhD , Guangyuan HE PhD ,

Journal Article

Well-being analysis of GSU transformer insulation incorporating the impact on power generation usingfuzzy logic

Alagarsamy KRISHNAVEL, Dusmata Kumar MOHANTA, M. Jaya Bharata REDDY

Journal Article

Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Journal Article

Scaling up of cluster beam deposition technology for catalysis application

Journal Article

A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Journal Article

A Study on Evaluation Method of Manufacturing Enterprise Informatization

Wang Huiming,Qi Ershi,Wang Huimin

Journal Article

SHIFTING TO A RECOMMENDED DIETARY PATTERN COULD PROMOTE SUSTAINABLE DEVELOPMENT OF THE ENVIRONMENT AND HUMAN HEALTH

Journal Article