Application of video imagery techniques for low cost measurement of water surface velocity in open channels

Vehicle running state adaptive unscented Kalman filter soft-sensing algorithm is put forward in this paper based on traditional UKF which can estimate vehicle running state parameters and suboptimal Sage-Husa noise estimator which can effectively solve the problem of noises varying with time. Meanwhile 3-DOF dynamic model of vehicle and HSRI tire model are established. So vehicle running state can be accurately estimated by fusing the low-cost measurement information of longitudinal and lateral acceleration and handwheel steering angle. Under the typical working condition, AUKF soft-sensing algorithm is verified with substantial vehicle tests. Comparing with UKF soft-sensing algorithm, the result indicates AUKF soft-sensing algorithm has a good performance in robustness and is able to realize the effective estimation of vehicle running state more precisely than UKF soft-sensing algorithm.

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Feasibility Study of Using Low-Cost Measurement Devices for System Identification Using Bayesian Approaches

Model Validation and Uncertainty Quantification, Volume 3 - Conference Proceedings of the Society for Experimental Mechanics Series ◽

10.1007/978-3-030-47638-0_21 ◽

2020 ◽

pp. 201-208

Author(s):

Alejandro Duarte ◽

Albert R. Ortiz

Keyword(s):

System Identification ◽

Feasibility Study ◽

Low Cost ◽

Bayesian Approaches ◽

Cost Measurement ◽

Measurement Devices

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Values estimation of deflection angle of a floating sensor for various objects (to the resistance to measuring the water surface rate)

Bulletin of Science and Practice ◽

10.33619/2414-2948/39/25 ◽

2019 ◽

Vol 5 (2) ◽

pp. 181-196

Author(s):

K. Presnyakov ◽

G. Kerimkulova ◽

G. Askalieva

Keyword(s):

Water Surface ◽

Deflection Angle ◽

Surface Velocity ◽

Informative Parameter ◽

The Deflection Angle

A device is proposed for measuring the surface velocity of water, the use of which is based on the use of a new informative parameter — the deflection angle of the movable float sensor (together with the guide slide) from the vertical in the direction of the dynamic axis of the flow, allowing you to simply and reliably measure the surface velocity of water.

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Test bed for low-cost measurement of AM/AM and AM/PM effects in RF PAs based on FPGA

2015 International Conference on Electronics, Communications and Computers (CONIELECOMP) ◽

10.1109/conielecomp.2015.7086930 ◽

2015 ◽

Author(s):

J.C. Nunez-Perez ◽

J.R. Cardenas-Valdez ◽

C. Gontrand ◽

R. Jauregui-Duran ◽

J.A. Reynoso-Hernandez

Keyword(s):

Low Cost ◽

Test Bed ◽

Cost Measurement

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Ultra-linear, low-cost measurement system for multi-electrode pF-range capacitors

Proceedings of 1995 IEEE Instrumentation and Measurement Technology Conference - IMTC 95 IMTC-95 ◽

10.1109/imtc.1995.515370 ◽

2002 ◽

Cited By ~ 32

Author(s):

F.N. Toth ◽

G.C.M. Meijer ◽

H.M.M. Kerkvliet

Keyword(s):

Measurement System ◽

Low Cost ◽

Cost Measurement

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Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2020.2974185 ◽

2020 ◽

Vol 58 (7) ◽

pp. 5195-5207 ◽

Cited By ~ 1

Author(s):

Federico Alimenti ◽

Stefania Bonafoni ◽

Elisa Gallo ◽

Valentina Palazzi ◽

Roberto Vincenti Gatti ◽

...

Keyword(s):

Doppler Radar ◽

Low Cost ◽

Surface Velocity ◽

Radar Sensor ◽

Noncontact Measurement ◽

Discharge Estimation

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Wedge-Shaped Shell Structure Impacting a Water Surface

Volume 4: Fluid Structure Interaction ◽

10.1115/pvp2005-71186 ◽

2005 ◽

Cited By ~ 2

Author(s):

Adrian Constantinescu ◽

Volker Bertram ◽

Ion Fuiorea ◽

Alain Neme

Keyword(s):

Water Surface ◽

Surface Velocity ◽

Convergence Criterion ◽

Surface Boundary ◽

Fluid Structure ◽

Pressure Fields ◽

Wet Surface ◽

Peak Pressures ◽

The Impact ◽

Asymptotic Formulation

This paper presents a study of fluid structure interaction during the impact of a ship on a water surface. The analysis combines the assumption of small displacements for the ideal fluid and the solid with an asymptotic formulation for accurate pressure evaluation on the wet surface boundary. A fluid-heat analogy is used to obtain the regular displacement, velocity and pressure fields in the fluid domain with ABAQUS/Standard finite element code. PYTHON and FORTRAN languages are also employed to connect fluid and structure data. Two methods are developed. The first method employs a weak fluid-structure coupling. The average discrepancy between our numerical results and experiments was 22% for the peak pressures for conical shell structures. The wet surface velocity was well predicted. The second method (implicit fluid-structure coupling using a convergence criterion) is more accurate. Recent results with an improved, numerical hydrodynamic model based on CFD are also presented.

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