Three‐stage forgetting factor stochastic gradient parameter estimation methods for a class of nonlinear systems

Y Ji, Z Kang - International Journal of Robust and Nonlinear …, 2021 - Wiley Online Library
This article focuses on the parameter estimation for a class of nonlinear systems, that is,
multi‐input single‐output or two‐input single‐output Hammerstein finite impulse response …

A Review of Data-driven Surrogate Models for Design Optimization of Electric Motors

M Cheng, X Zhao, M Dhimish, W Qiu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Electric motor is one of the core components of electronic propulsion systems and plays an
essential role in the industry. The optimal design of an electric motor poses a complex …

Optimal parameter estimation of 1-phase and 3-phase transmission line for various bundle conductor's using modified whale optimization algorithm

MS Shaikh, C Hua, S Raj, S Kumar, M Hassan… - International Journal of …, 2022 - Elsevier
The overhead power line transmits and distributes electricity across large regions it has
several conductors on poles. Power system stability analysis and state estimates need a …

Stray load losses determination methods of induction motors-A Review

M Geravandi… - 2022 30th International …, 2022 - ieeexplore.ieee.org
The exact determination of total losses value in induction motor has an important
contribution to the more accurate estimation of induction motor efficiency. Among the various …

Parameter estimation of induction machine single-cage and double-cage models using a hybrid simulated annealing–evaporation rate water cycle algorithm

M Ćalasan, M Micev, ZM Ali, AF Zobaa… - Mathematics, 2020 - mdpi.com
This paper presents the usage of the hybrid simulated annealing—evaporation rate water
cycle algorithm (SA-ERWCA) for induction machine equivalent circuit parameter estimation …

[HTML][HTML] A comparative study on parameters estimation of squirrel cage induction motors using neural networks with unmemorized training

O Çetin, A Dalcalı, F Temurtaş - Engineering Science and Technology, an …, 2020 - Elsevier
Induction machines are often preferred in industrial applications at present. Therefore, it is
an important problem to know the electrical parameters of induction machines correctly …

An interior search algorithm based on chaotic and crossover strategies for parameter extraction of polyphase induction machines

RM Rizk-Allah, MI Abdelwanis, RA El-Sehiemy… - Neural Computing and …, 2023 - Springer
The accuracy of the extracted parameters is important for studying the polyphase induction
motor performance and/or the motor control schemes. An investigated and improved interior …

[HTML][HTML] Hybrid optimization algorithm for parameter estimation of poly-phase induction motors with experimental verification

MI Abdelwanis, RA Sehiemy, MA Hamida - Energy and AI, 2021 - Elsevier
The estimated parameters accuracy of poly-phase induction motors is crucial for effective
performance prediction and/or control in various manufacturing applications. This study …

Intelligent wind turbine gearbox diagnosis using VMDEA and ELM

MF Isham, MS Leong, MH Lim, ZA Bin Ahmad - Wind Energy, 2019 - Wiley Online Library
Wind turbine gearbox diagnosis is a vital tool for maintaining wind turbine operation and
safety. The gearbox vibration signal is invariably complex and variable, and useful …

Introducing improved iterated extended Kalman Filter (IIEKF) to estimate the rotor rotational speed, rotor and stator resistances of induction motors

B Moaveni, Z Masoumi, P Rahmani - IEEE Access, 2023 - ieeexplore.ieee.org
This paper introduces the Improved Iterated Extended Kalman Filter (IIEKF) for estimating
the rotational speed, rotor resistance, and stator resistance of three-phase induction motors …