Analytical model for double-sided linear permanent magnet inner armature synchronous machine with slot-less stator at on-load in different patterns of magnetization

Shirzad, Ehsan

doi:10.1007/s00202-023-01904-5

Cited by 4 publications

(4 citation statements)

References 24 publications

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“…The block-mathematical model of a neural network is shown in Fig. 1 [33][34][35][36][37][38][39][40][41][42][43].…”

Section: -3neural Networkmentioning

confidence: 99%

Recommender System for Predicting the Academic Status of Students of Bangladesh Using Artificial Neural network

Shirzad

2023

Preprint

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Today, information technology in different areas produces a large amount of data every day. In recent years, many researchers have started to extract knowledge from data to make data-based decisions and improve the quality of processes in various organizations. Educational data mining helps educational institutions to operate effectively and efficiently by leveraging data from all stakeholders. It can help students at risk; create recommendation systems and alert students at different levels. Recently, neural network has received much attention in the educational sector compared to other methods. In this article, a study has been done using neural network on the dataset of Bangladesh University. The evaluation criteria for performance comparison are MAE (mean absolute error) and MSE (mean square error). The MAE and MSE of the neural network in the first run are 0.1357 and 0.026123, respectively. With the neural network, a recommender system has been presented to predict the students' academic status, which considers the student's status in four states: "excellent", "good", "needs more effort" and "needs guidance".

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“…The block-mathematical model of a neural network is shown in Fig. 1 [33][34][35][36][37][38][39][40][41][42][43].…”

Section: -3neural Networkmentioning

confidence: 99%

Recommender System for Predicting the Academic Status of Students of Bangladesh Using Artificial Neural network

Shirzad

2023

Preprint

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“…If the interface is source-free, as result the parallel component of the magnetic eld intensity vector on one side of the boundary is equal to that of the other side in according to Table1. Also, the parallel component of the magnetic eld intensity vector is zero at the interface of those media adjacent to in nitely permeable domains that solving the nonlinear equations are done by Shwarz-Christoffel formula [35][36][37][38][39][40][41][42][43][44].…”

Section: Boundary Conditionsmentioning

confidence: 99%

Accurate and Fast model for single Rotor Double Stator Interior Permanent Magnet Brushless Synchronous Machine with Spoke-Type structure at no-Load

Shirzad

2023

Preprint

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In this paper a 2-dimensional model by solving partial differential equations for single Rotor Double Stator Interior Permanent Magnet Brushless Synchronous Machine with Spoke-Type structure (SRDSIPMBSMWSTS) is formulated to predict flux density in air-gaps at only no load. After extracting relations are governing in each domain (magnetic potential vector and magnetic field intensity), boundary conditions between each two domain that are in adjacent to each other are applied to determine unknown coefficients. Output results are compared to finite element analysis (FEA) yield from Maxwell software to validate this fast and accurate model.

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“…However, these linear format structures still adopted even number of primary poles. Due to linear structure without the problem of unbalanced magnetic force in rotatory machines, odd number of primary poles has been applied in the linear machine with partitioned primary [11]- [12]- [13]- [14]- [15]- [16]- [17]- [18]- [19]- [20].…”

Section: Introductionmentioning

confidence: 99%

Analytical Analysis of the Slotted Double-Sided Linear Flux Switching Permanent Magnet Motors by Considering Different Layers of Winding

shirzad

2023

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This paper states an analytical model for double-sided linear flux switching permanent magnet motors (DSLFSPMMs) to predict magnetic quantities more accurate and faster in comparison to numerical model in 2-layer of winding (single and double layer). At first, formulation of DSLFSPMMs based on Maxwell equations in different regions is implemented then by boundary conditions, unknown parameters are verified and revealed under each arbitrary number of teethes and slots eventually, the results of analytical model are compared with those which extracted from numerical model.

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Analytical model for double-sided linear permanent magnet inner armature synchronous machine with slot-less stator at on-load in different patterns of magnetization

Cited by 4 publications

References 24 publications

Recommender System for Predicting the Academic Status of Students of Bangladesh Using Artificial Neural network

Recommender System for Predicting the Academic Status of Students of Bangladesh Using Artificial Neural network

Accurate and Fast model for single Rotor Double Stator Interior Permanent Magnet Brushless Synchronous Machine with Spoke-Type structure at no-Load

Analytical Analysis of the Slotted Double-Sided Linear Flux Switching Permanent Magnet Motors by Considering Different Layers of Winding

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