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Fault Pattern Recognition of Rolling Bearing Based on Radial Basis Function Neural Networks

Lu Shuang,Zhang Zida,Li Meng

Strategic Study of CAE 2004, Volume 6, Issue 2, Pages 56-60

Abstract: function neural network and on the basis of the feature analysis of vibration signal of rolling bearing, ARmodel is presented by using time series method.Radial basis function neural networks is established based on AR model parameters.

Keywords： rolling bearing vibration signal AR model RBF neural networks pattern recognition

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Mechanical properties characterization of different types of masonry infill walls

André FURTADO, Hugo RODRIGUES, António ARÊDE, Humberto VARUM

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2, Pages 411-434 doi: 10.1007/s11709-019-0602-y

Abstract: It is remarkable, the recent advances concerning the development of numerical modeling frameworks to simulate the infill panels’ seismic behavior. However, there is a lack of experimental data of their mechanical properties, which are of full importance to calibrate the numerical models. The primary objective of this paper is to present an extensive experimental campaign of mechanical characterization tests of infill masonry walls made with three different types of masonry units: lightweight vertical hollow concrete blocks and hollow clay bricks. Four different types of experimental tests were carried out, namely: compression strength tests, diagonal tensile strength tests, and flexural strength tests parallel and perpendicular to the horizontal bed joints. A total amount of 80 tests were carried out and are reported in the present paper. The second objective of this study was to compare the mechanical properties of as-built and existing infill walls. The results presented and discussed herein, will be in terms of strain-stress curves and damages observed within the tests. It was observed a fragile behavior in the panels made with hollow clay horizontal bricks, without propagation of cracks. The plaster increased the flexural strength by 57%.

Keywords： masonry infill walls experimental characterization compression strength shear diagonal strength flexural strength

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generation from organic wastewater containing N H 4 + by phototrophic bacteria Rhodobacter sphaeroides AR

Guanghong ZHENG, Zhuhui KANG, Yifan QIAN, Lei WANG,

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 4, Pages 387-392 doi: 10.1007/s11783-009-0154-9

Abstract: Haifa RAJHI,Daniel PUYOL,Mirna C. MARTÍNEZ,Emiliano E. DÍAZ,José L. SANZ. [J]. Front. Environ. Sci. Eng., 2016, 10(3): 513-521.Yongtao LV,Xuan CHEN,Lei WANG,Kai JU,Xiaoqiang CHEN,Rui MIAO,Xudong WANG. [J]. Front. Environ. Sci. Eng., 2016, 10(2): 390-398.Zulkifly JEMAAT,Josep Anton TORA,Albert BARTROLI,Julián CARRERA,Julio PEREZ. [J]. Front. Environ. Sci. Eng., 2015, 9(3): 528-533.Wei LI, Xiaowen DING, Min LIU, Yuewen GUO, Lei LIU. [J]. Front Envir Sci Eng, 2012, 6(6): 892-900.Guochen ZHENG, Jianzheng LI, Feng ZHAO, Liguo ZHANG, Li WEI, Qiaoying BAN, Yongsheng ZHAO. [J]. Front Envir Sci Eng, 2012, 6(1): 125-130.Hailong LIN, Weiguang LI, Changhong GUO, Sihang QU, Nanqi REN. [J]. Front Envir Sci Eng Chin, 2011, 5(4): 519-525.Daijun ZHANG, Cui BAI, Ting TANG, Qing YANG. [J]. Front Envir Sci Eng Chin, 2011, 5(2): 291-297.Yanhui ZHAN, Jianwei LIN, Yanling QIU, Naiyun GAO, Zhiliang ZHU. [J]. Front Envir Sci Eng Chin, 2011, 5(1): 65-75.Rongchang WANG, Xinmin ZHAN, Yalei ZHANG, Jianfu ZHAO. [J]. Front Envir Sci Eng Chin, 2011, 5(1): 48-56.Bo WANG, Wei WAN, Jianlong WANG, . [J]. Front.Environ.Sci.Eng., 2009, 3(4): 380-386.GUO Jinsong, YANG Guohong, FANG Fang, QIN Yu. [J]. Front.Environ.Sci.Eng., 2008, 2(4): 439-445.GENG Bing, ZHU Yanfang, JIN Zhaohui, LI Tielong, KANG Haiyan, WANG Shuaima. [J]. Front.Environ.Sci.Eng., 2007, 1(3): 357-361.WU Deyi, HU Zhanbo, WANG Xinze, HE Shengbing, KONG Hainan. [J]. Front.Environ.Sci.Eng., 2007, 1(2): 213-220.XU Zhengyong, YANG Zhaohui, ZENG Guangming, XIAO Yong, DENG Jiuhua. [J]. Front.Environ.Sci.Eng., 2007, 1(1): 43-48.

Keywords： ammonium anoxygenic phototrophic bacterium biohydrogen glutamine auxotrophic tofu wastewater

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Decentralized multi-agent reinforcement learning with networked agents: recent advances Review Article

Kaiqing Zhang, Zhuoran Yang, Tamer Başar,kzhang66@illinois.edu,zy6@princeton.edu,basar1@illinois.edu

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 6, Pages 802-814 doi: 10.1631/FITEE.1900661

Abstract: Multi-agent (MARL) has long been a significant research topic in both machine learning and control systems. Recent development of (single-agent) deep has created a resurgence of interest in developing new MARL algorithms, especially those founded on theoretical analysis. In this paper, we review recent advances on a sub-area of this topic: decentralized MARL with networked agents. In this scenario, multiple agents perform sequential decision-making in a common environment, and without the coordination of any central controller, while being allowed to exchange information with their neighbors over a communication network. Such a setting finds broad applications in the control and operation of robots, unmanned vehicles, mobile sensor networks, and the smart grid. This review covers several of our research endeavors in this direction, as well as progress made by other researchers along the line. We hope that this review promotes additional research efforts in this exciting yet challenging area.

Keywords：强化学习；多智能体系统；网络系统；一致性优化；分布式优化；博弈论

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Nonlinear Characteristics of Cutting Forces in High-speed Face-milling of Difficult-to-cut Materials by AR

Long Zhenhai,Wang Xibin,Wang Haochen

Strategic Study of CAE 2004, Volume 6, Issue 10, Pages 28-31

Abstract:

Factorials experiment and velocity single-factor experiment are applied in the dry high-speed milling experiments of Martensitic stainless steel 2Crl3, which is used in aerospace industry. Based on the analysis of cutting regimes, influences on milling force, the spectrum analysis and wavelet analysis are applied on the random cutting force signals. This study shows that in high speed milling of Martensitic stainless process, the interaction of depth of cut and feed per tooth has significant effect on the cutting force; the interaction of feed per tooth and depth of cut introduces a lower frequency periodic signal; this low frequency signal coupled with high frequency signal could remarkably increase the amplitude of cutting force signals.

Keywords： difficult-to-cut materials high speed machining factorials design Meyer wavelet transform Mallat algorithm

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Standard model of knowledge representation

Wensheng YIN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3, Pages 275-288 doi: 10.1007/s11465-016-0372-3

Abstract: methods include predicate logic, semantic network, computer programming language, database, mathematical modelintrinsic link between various knowledge representation methods, a unified knowledge representation modelAccording to ontology, system theory, and control theory, a standard model of knowledge representationThe model is composed of input, processing, and output.In addition, the standard model of knowledge representation provides a way to solve problems of non-precision

Keywords： knowledge representation standard model ontology system theory control theory multidimensional representation

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State of the Art of Compartment Fire Modeling

Zheng Xin,Yuan Hongyong

Strategic Study of CAE 2004, Volume 6, Issue 3, Pages 68-74

Abstract: The relevant underlying physical assumptions are presented first and the conventional model performance

Keywords： compartment field model zone model network model FZN (field zone and network) model empirical model

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Elevated temperature creep model of parallel wire strands

Frontiers of Structural and Civil Engineering Pages 1060-1071 doi: 10.1007/s11709-023-0981-y

Abstract: analyze their creep behavior, this study experimentally investigated the elevated temperature creep modelThe parameters in the general empirical formula, the Bailey–Norton model, and the composite time-hardeningmodel were fitted based on the experimental results.By evaluating the accuracy and form of the models, the composite time-hardening model, which can simultaneously

Keywords： parallel wire strands experimental study elevated temperature creep model

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Impact of crude distillation unit model accuracy on refinery production planning

Gang FU, Pedro A. Castillo CASTILLO, Vladimir MAHALEC

Frontiers of Engineering Management 2018, Volume 5, Issue 2, Pages 195-201 doi: 10.15302/J-FEM-2017052

Abstract: In this work, we examine the impact of crude distillation unit (CDU) model errors on the results of refinery-wideWe compare the swing cut+ bias CDU model with a recently developed hybrid CDU model (Fu et al., 2016)The hybrid CDU model computes material and energy balances, as well as product true boiling point (TBPCase studies of optimal operation computed using a planning model that is based on the swing cut+ biasCDU model and using a planning model that incorporates the hybrid CDU model are presented.

Keywords： impact of model accuracy on production planning swing cut+ bias CDU model hybrid CDU model refinery feedstock

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Test-driven verification/validation of model transformations

László LENGYEL,Hassan CHARAF

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2, Pages 85-97 doi: 10.1631/FITEE.1400111

Abstract: Why is it important to verify/validate model transformations?Verified/validated model transformations make it possible to ensure certain properties of the generatedFor example, a verified/validated model transformation can ensure the preservation of certain propertiesduring the model-to-model transformation.of a novel test-driven method for verifying/validating model transformations.

Keywords： Graph rewriting based model transformations Verification/validation Test-driven verification

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Digital twin-assisted gearbox dynamic model updating toward fault diagnosis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-023-0748-0

Abstract: One of the core challenges of intelligent fault diagnosis is that the diagnosis model requires numerousGenerating training data using a virtual model is a potential solution for addressing such a problem,and the construction of a high-fidelity virtual model is fundamental and critical for data generationIn this study, a digital twin-assisted dynamic model updating method for fault diagnosis is thus proposedhelical gearbox; the virtual data generated by this model can be used for gear fault diagnosis.

Keywords： digital twin gearbox model construction model updating physical–virtual interaction

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Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid

Nitin Kumar SAXENA,Ashwani Kumar SHARMA

Frontiers in Energy 2015, Volume 9, Issue 4, Pages 472-485 doi: 10.1007/s11708-015-0373-7

Abstract: The composite load is a combination of the static and dynamic load model.To develop this composite load model, the exponential load is used as a static load model and inductionmotors (IMs) are used as a dynamic load model.This aggregate model is used as a dynamic load model.of static load and for the fifth and third order IM dynamic load model using state space model.

Keywords： isolated hybrid power system (IHPS) composite load model static load dynamic load induction motor loadmodel aggregate load

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Initiation of Setaria as a model plant

Xianmin DIAO,James SCHNABLE,Jeffrey L. BENNETZEN,Jiayang LI

Frontiers of Agricultural Science and Engineering 2014, Volume 1, Issue 1, Pages 16-20 doi: 10.15302/J-FASE-2014011

Abstract: Model organisms such as Arabidopsis ( ) and rice ( ) have proven essential for efficient scientific discoverysome important processes such as C photosynthesis are not found in either Arabidopsis or rice, so new modeldomesticated foxtail millet ( ) and its wild ancestor, green foxtail ( ), have recently been proposed as novel modelThis review outlines the development of these species as model organisms, and discusses current challengesand future potential of a Setaria model.

Keywords： Setaria foxtail millet C₄ photosynthesis model organism

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A time−space porosity computational model for concrete under sulfate attack

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0985-7

Abstract: This study proposes a mechanical–chemical model to simulate the spatiotemporal distribution of the porosityIn addition, the expansion strain at the macro-scale is obtained using a stress analysis model of compositeThe results demonstrate that the expansion strains calculated using the suggested model agree well withThe proposed model can forecast and assess the porosity of concrete covers and provide a credible approach

Keywords： deformation porosity internal expansion stress external sulfate attack mechanical–chemical coupling model

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The Construction of Tetrahedral Model of Engineering Ethical Evaluation

Jin Wang

Frontiers of Engineering Management 2014, Volume 1, Issue 1, Pages 62-70 doi: 10.15302/J-FEM-2014009

Abstract: vividly expose the differences in people's way of understanding which inspires author's study of the modelWith four elements of the project —artifact, engineer, user and environment, a tetrahedral model of integrityIn this model, four "Lamps" — i. e, four elements of engineering — in four corners provide light whilefour "Mirrors" — the result of reflection of four elements — reflect whether the tetrahedral model can

Keywords： tetrahedral model ethical evaluation engineering Lamps and Mirrors