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A multi-functional dynamic state estimator for error validation: measurement and parameter errors and Article

Mehdi AHMADI JIRDEHI,Reza HEMMATI,Vahid ABBASI,Hedayat SABOORI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 11,   Pages 1218-1227 doi: 10.1631/FITEE.1500301

Abstract: We propose a new and efficient algorithm to detect, identify, and correct measurement errors and branchparameter errors of power systems.The method uses three normalized vectors to process errors at each sampling time: normalized measurement

Keywords： Dynamic state estimation     Kalman filter     Measurement errors     Branch parameter errors     Sudden load changes    

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Branch-pipe-routing approach for ships using improved genetic algorithm

Haiteng SUI,Wentie NIU

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 316-323 doi: 10.1007/s11465-016-0384-z

Abstract:

Branch-pipe routing plays fundamental and critical roles in ship-pipe design.The branch-pipe-routing problem is a complex combinatorial optimization problem and is thus difficultBranch pipes in layout space are regarded as a combination of several two-point pipes, and the pipe routeThe coding of branch pipes is then defined, and the genetic operators are devised, especially the complete

Keywords： branch pipe     ship industry     piping system     optimization algorithm    

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Multi-objective optimization in a finite time thermodynamic method for dish-Stirling by branch and bound

Mohammad Reza NAZEMZADEGAN, Alibakhsh KASAEIAN, Somayeh TOGHYANI, Mohammad Hossein AHMADI, R. SAIDUR, Tingzhen MING

Frontiers in Energy 2020, Volume 14, Issue 3,   Pages 649-665 doi: 10.1007/s11708-018-0548-0

Abstract: optimization (MOPSO) with post-expression of preferences is used for multi-objective optimizations while the branch

Keywords： dish-Stirling     finite time model     branch and bound algorithm     multi-objective particle swarm optimization    

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Modeling and simulating the impact of forgetting and communication errors on delays in civil infrastructure

Zhe SUN, Cheng ZHANG, Pingbo TANG

Frontiers of Engineering Management 2021, Volume 8, Issue 1,   Pages 109-121 doi: 10.1007/s42524-019-0084-6

Abstract: Handoff processes during civil infrastructure operations are transitions between sequential tasks. Typical handoffs constantly involve cognitive and communication activities among operations personnel, as well as traveling activities. Large civil infrastructures, such as nuclear power plants (NPPs), provide critical services to modern cities but require regular or unexpected shutdowns (i.e., outage) for maintenance. Handoffs during such an outage contain interwoven workflows and communication activities that pose challenges to the cognitive and communication skills of handoff participants and constantly result in delays. Traveling time and changing field conditions bring additional challenges to effective coordination among multiple groups of people. Historical NPP records studied in this research indicate that even meticulous planning that takes six months before each outage could hardly guarantee sufficient back-up plans for handling various unexpected events. Consequently, delays frequently occur in NPP outages and bring significant socioeconomic losses. A synthesis of previous studies on the delay analysis of accelerated maintenance schedules revealed the importance and challenges of handoff modeling. However, existing schedule representation methods could hardly represent the interwoven communication, cognitive, traveling, and working processes of multiple participants collaborating on completing scheduled tasks. Moreover, the lack of formal models that capture how cognitive, waiting, traveling, and communication issues affect outage workflows force managers to rely on personal experiences in diagnosing delays and coordinating multiple teams involved in outages. This study aims to establish formal models through agent-based simulation to support the analytical assessment of outage schedules with full consideration of cognitive and communication factors involved in handoffs within the NPP outage workflows. Simulation results indicate that the proposed handoff modeling can help predict the impact of cognitive and communication issues on delays propagating throughout outage schedules. Moreover, various activities are fully considered, including traveling between workspaces and waiting. Such delay prediction capability paves the path toward predictive and resilience outage control of NPPs.

Keywords： NPP outage     human error     team cognition     handoff modeling    

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The dynamic correction of collimation errors of CT slicing pictures

LIU Ya-xiong, Sekou Sing-are, LI Di-chen, LU Bing-heng

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 168-172 doi: 10.1007/s11465-006-0016-0

Abstract: To eliminate the motion artifacts of CT images caused by patient motions and other related errors, twoimages, which facilitates in eliminating or decreasing the motion artifacts and correcting other static errorsand image processing errors.
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Rotation errors in numerical manifold method and a correction based on large deformation theory

Ning ZHANG, Xu LI, Qinghui JIANG, Xingchao LIN

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1036-1053 doi: 10.1007/s11709-019-0535-5

Abstract: Numerical manifold method (NMM) is an effective method for simulating block system, however, significant errorsThree kinds of errors, as volume expansion, stress vibration, and attenuation of angular velocity, wereThe first two kind errors are owing to the small deformation assumption and the last one is due to theblock rotation, beam bending, and rock falling problems and the results prove that all three kinds of errors

Keywords： numerical manifold method     rotation     large deformation     Green strain     open-close iteration    

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Understanding the demand predictability of bike share systems: A station-level analysis

Frontiers of Engineering Management   Pages 551-565 doi: 10.1007/s42524-023-0279-8

Abstract: prediction, which can help decision makers and system operators anticipate diverse station-level prediction errors

Keywords： bike share systems     demand prediction     prediction errors     machine learning     entropy    

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Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0703-5

Abstract: defocus) and bead geometries (bead width, depth of penetration, neck width, and neck depth) with average errorsMOABC is employed to approximate the Pareto front, and verification experiments show that the relative errors

Keywords： laser beam welding     parameter optimization     metamodel     multi-objective    

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Planet position errors in planetary transmission: Effect on load sharing and transmission error

Miguel IGLESIAS, Alfonso FERNáNDEZ, Ana DE-JUAN, Ramón SANCIBRIáN, Pablo GARCíA

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 1,   Pages 80-87 doi: 10.1007/s11465-013-0362-7

Abstract: transmissions developed by the authors is used to study the influence of carrier planet pin hole position errorsThe influence of carrier planet pin hole position errors on the planet load sharing is studied, and severalTangential and radial planet pin hole position errors are considered independently, and the effect of

Keywords： gear     planetary     epicyclic     transmission     load sharing     transmission error    

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Both-Branch Fuzzy Decision and Problems on Decision Discernment

Shi Kaiquan,Li Qiqiang

Strategic Study of CAE 2001, Volume 3, Issue 1,   Pages 71-77

Abstract:

This paper proposes the concept of both-branch fuzzy decision on X, which contains neutral universeBoth-branch fuzzy decision has such characteristics as decision two-direction dependence character, decisionpiling-synthesis character, decision branch-separating character, decision branch-degeneration character

Keywords： both-branch fuzzy decision     decision model     judgement theorem     discernment theorem     surplusage-discarding    

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Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2,   Pages 133-136 doi: 10.1007/s11709-013-0202-1

Abstract: article examines the capability of Gaussian process regression (GPR) for prediction of effective stress parametervolumetric water content ( ), residual water content ( ), bubbling pressure ( ), suction ( ) and fitting parameterA sensitivity analysis has been done to determine the effect of each input parameter on .

Keywords： unsaturated soil     effective stress parameter     Gaussian process regression (GPR)     artificial neural network    

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1000 MW ultra-supercritical turbine steam parameter optimization

FENG Weizhong

Frontiers in Energy 2008, Volume 2, Issue 2,   Pages 187-193 doi: 10.1007/s11708-008-0030-5

Abstract: The 2 × 1000 MW ultra-supercritical steam turbine of Shanghai Waigaoqiao Phase III project, which uses grid frequency regulation and overload control through an overload valve, is manufactured by Shanghai Turbine Company using Siemens technology. Through optimization, the steam pressure is regarded as the criterion between constant pressure and sliding pressure operation. At high circulating water temperature, the turbine overload valve is kept closed when the unit load is lower than 1000 MW while at other circulating water temperatures the turbine can run in sliding pressure operation when the unit load is higher than 1000 MW and the pressure is lower than 27 MPa This increases the unit operation efficiency. The 3D bending technology in the critical piping helps to reduce the project investment and minimize the reheat system pressure drop which improves the unit operation efficiency and safety. By choosing lower circulating water design temperature and by setting the individual Boiler Feedwater Turbine condenser to reduce the exhaust steam flow and the heat load to the main condenser, the unit average back pressure and the terminal temperature difference are minimized. Therefore, the unit heat efficiency is increased.
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Structural parameter design method for a fast-steering mirror based on a closed-loop bandwidth

Guozhen CHEN, Pinkuan LIU, Han DING

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 55-65 doi: 10.1007/s11465-019-0545-y

Abstract: This study proposes a structural parameter design approach for an FSM system based on the quantitative

Keywords： fast-steering mirror     structural parameter     PI controller     bandwidth     notch filter    

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Energy efficient cutting parameter optimization

Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 221-248 doi: 10.1007/s11465-020-0627-x

Abstract: Over the past 10 years, many researchers have been engaged in energy efficient cutting parameter optimizationThis paper conducts a comprehensive literature review of current studies on energy efficient cutting parameterCurrent studies on energy efficient cutting parameter optimization by using experimental design methodCombined with the current status, future research directions of energy efficient cutting parameter optimization

Keywords： energy efficiency     cutting parameter     optimization     machining process    

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Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 367-376 doi: 10.1007/s11465-017-0429-y

Abstract:

A new hierarchical parameter estimation method for doubly fed induction generator (DFIG) and drive

Keywords： wind turbine generator     DFIG     drive train system     hierarchical parameter estimation method     trajectory sensitivity    

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Title Author Date Type Operation

A multi-functional dynamic state estimator for error validation: measurement and parameter errors and

Mehdi AHMADI JIRDEHI,Reza HEMMATI,Vahid ABBASI,Hedayat SABOORI

Journal Article

Branch-pipe-routing approach for ships using improved genetic algorithm

Haiteng SUI,Wentie NIU

Journal Article

Multi-objective optimization in a finite time thermodynamic method for dish-Stirling by branch and bound

Mohammad Reza NAZEMZADEGAN, Alibakhsh KASAEIAN, Somayeh TOGHYANI, Mohammad Hossein AHMADI, R. SAIDUR, Tingzhen MING

Journal Article

Modeling and simulating the impact of forgetting and communication errors on delays in civil infrastructure

Zhe SUN, Cheng ZHANG, Pingbo TANG

Journal Article

The dynamic correction of collimation errors of CT slicing pictures

LIU Ya-xiong, Sekou Sing-are, LI Di-chen, LU Bing-heng

Journal Article

Rotation errors in numerical manifold method and a correction based on large deformation theory

Ning ZHANG, Xu LI, Qinghui JIANG, Xingchao LIN

Journal Article

Understanding the demand predictability of bike share systems: A station-level analysis

Journal Article

Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Journal Article

Planet position errors in planetary transmission: Effect on load sharing and transmission error

Miguel IGLESIAS, Alfonso FERNáNDEZ, Ana DE-JUAN, Ramón SANCIBRIáN, Pablo GARCíA

Journal Article

Both-Branch Fuzzy Decision and Problems on Decision Discernment

Shi Kaiquan,Li Qiqiang

Journal Article

Determination of effective stress parameter of unsaturated soils: A Gaussian process regression approach

Pijush Samui, Jagan J

Journal Article

1000 MW ultra-supercritical turbine steam parameter optimization

FENG Weizhong

Journal Article

Structural parameter design method for a fast-steering mirror based on a closed-loop bandwidth

Guozhen CHEN, Pinkuan LIU, Han DING

Journal Article

Energy efficient cutting parameter optimization

Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI

Journal Article

Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Journal Article