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Parameter Identification in a Probabilistic Setting [PDF]

Engineering Structures, 2012
Parameter identification problems are formulated in a probabilistic language, where the randomness reflects the uncertainty about the knowledge of the true values. This setting allows conceptually easily to incorporate new information, e.g.
Alexander Litvinenko, Anna Kučerová, Arsigny, Balakrishnan, Becker, Benth, Blanchard, Bobrowski, Bojana V. Rosić, Boyaval, Cao, Christen, Engl, Evensen, Evensen, Galvis, Galvis, Gamerman, Ghanem, Goldstein, Hackbusch, Hermann G. Matthies, Hida, Holden, Ibrahimbegović, Jan Sýkora, Janson, Jaynes, Kučerová, Kučerová, Kučerová, Kálmán, Li, Luenberger, Ma, Madras, Marzouk, Marzouk, Mathelin, Matthies, Matthies, Matthies, Matthies, Matthies, Nouy, Nouy, Oliver Pajonk, Pajonk, Papoulis, Roman, Rosić, Rosić, Saad, Stuart, Stuart, Tarantola, Wiener, Xiu, Zeng, Zienkiewicz   +59 more
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Parameter Identification of DFIG Converter Control System Based on WOA

Energies, 2023
The converter is an important component of a wind turbine, and its control system has a significant impact on the dynamic output characteristics of the wind turbine.
Youtao Li, Yun Zeng, Jing Qian, Fanjie Yang, Shihao Xie   +4 more
doaj   +1 more source

Low Voltage Induction Motor Traction Drive Self-Commissioning Technique with the Advanced Measured Signal Processing Procedure

Energies, 2021
In this paper, the enhanced auto-tuning technique based on the injection of two sinusoidal test signals of different frequencies applicable on the low voltage induction motor self-commissioning process is presented.
Mladen Vučković, Vladimir Popović, Djura Oros, Veran Vasić, Darko Marčetić   +4 more
doaj   +1 more source

Dual Mass Flywheel Parameter Identification

Journal of Mechanical Engineering, 2021
Reducing emissions brings changes in the design of internal combustion engines and thus new challenges for dual-mass flywheels (DMF) in terms of Noise Vibration and Harshness (NVH).
Ľuboš Magdolen, Ján Danko, Tomáš Milesich, Tomáš Nemec, Karol Sloboda, Jozef Bucha   +5 more
doaj   +1 more source

Parameter Identification of Asynchronous Load Nodes

Energies, 2023
Asynchronous loads (AL), because of their low negative-sequence resistance, produce the effect of reduced unbalance at their connection points. Therefore, proper modeling of unbalanced load flows in power supply systems requires properly accounting for ...
Andrey Kryukov, Konstantin Suslov, Pavel Ilyushin, Azat Akhmetshin   +3 more
doaj   +1 more source

The Effects of Icing on Aircraft Longitudinal Aerodynamic Characteristics

Mathematics, 2020
To study the effects of ice accretion on the longitudinal aerodynamic characteristics of an aircraft, a two-part method for predicting longitudinal aerodynamic derivatives of iced aircraft is proposed.
Yihua Cao, Wenyuan Tan, Yuan Su, Zhongda Xu, Guo Zhong   +4 more
doaj   +1 more source

Identification of the dynamic parameters of the Orthoglide [PDF]

2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), 2004
This paper presents the experimental identification of the dynamic parameters of the Orthoglide [1], a 3-DOF parallel. The dynamic identification model is based on the inverse dynamic model, which is linear in the parameters. The model is computed in a closed form in terms of the Cartesian dynamic model elements of the legs and of the Newton-Euler ...
Guegan, Sylvain, Khalil, Wisama, Lemoine, Philippe   +2 more
openaire   +2 more sources

Research on Stiffness Identification Method for Complex Joints Based on Modal Correlation Analysis

Machines, 2022
The dynamic performance of mechanical systems is seriously affected by the stiffness of mechanical joints. The tool holder system of the deep hole machine tool was taken as the object; based on the modal correlation of experiment and finite element ...
Ruijiang Yu, Shujuan Li, Lie Liang, Feilong Liu, Kaixuan Wang   +4 more
doaj   +1 more source

Parameter identification using moment of velocity [PDF]

Royal Society Open Science, 2019
Many physical systems can be adequately modelled using a second-order approximation. Thus, the problem of system identification often reduces to the problem of estimating the position of a single pair of complex–conjugate poles.
M. Dorraki, M. S. Islam, A. Allison, D. Abbott   +3 more
doaj   +1 more source

Direct parameter identification of distributed parameter systems [PDF]

International Journal of Systems Science, 2000
A new direct approach to identifying the parameters of distributed parameter systems from noise-corrupted data is introduced. The model of the system which takes the form of a set of linear or nonlinear partial differential equations is assumed known with the exception of a set of constant parameters.
Daniel Coca, Stephen A. Billings
openaire   +1 more source