The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a summary of a vibrational behavior investigation of a 27 slots / 24 poles combination surface mounted synchronous electric motor. To achieve this investigation, first, an electromagnetic analysis is done using a quasi 3D finite element model allowing to consider the rotor skewing and to compute the machine magnetic quantities. Second, a modal analysis is done using a 3D FE structural...
The main purpose of this paper is to perform a vibro-acoustic analysis in order to predict acoustic response by Computer-Aided Engineering (CAE) models related to a single phase permanent split capacitor motor noise. The radial magnetic force between stator and rotor is a main excitation source to create deformations of the stator housing, causing vibrations and acoustic noise. These forces are determined...
The impedance modeling of passive device is mandatory for EMI prediction of power converter on printed board circuit (PCB) level. The black-box node-to-node impedance function (NIF) model, which extracts the connecting impedance matrix from measurement, can be used as the most general representation. However, the most recent development of this model is still based on the assumption of ideal shorting...
Bayesian network is a probability, which is based on a probabilistic inference network of graphical and Bayesian formula is the basis of the probability of network. The paper analyzes general Semantic pixel naming and the implementation process and concept of Bayesian per pixel segmentation (BPPS). On this basis, author presents a novel deep learning framework for clustering and information mining...
In this paper, we aim to present a surface potential based model for GaN High Electron Mobility Transistors. The analytical model is computationally efficient and can be accurately used for DC and RF predictions. It includes various effects of velocity saturation, access region resistance, temperature, gate current and noise.
This paper proposes a programmable Low Pass Filter (LPF) to improve the performance of sensorless stator flux orientation control for induction motors. Commonly, a pure integrator based on the voltage model is used to estimate stator flux linkages for its simplicity. However, due to noise errors such as strong Gaussian noise variance, a drift and a dc offset are easily produced by the integrator when...
This paper proposes a neural network (NN) based noise prediction model for electric machines, applied to the case of synchronous reluctance motors (SynRMs). The natural frequencies of various vibration modes for a SynRM stator with generalized tooth geometry and slot numbers have been obtained using structural FEA based computations and then used to build a NN based surrogate model. The accuracy of...
Magnus rotor is essentially a rotating cylinder that generates lift due to Magnus effect. The effect has been generating curiosity in a wide variety of fields ranging from sports to alternate energy. The wind turbine under investigation replaces tradition blades that have an airfoil cross-section, with such Magnus rotors. In this paper, Magnus wind turbines with three and five rotors have been analyzed...
This paper focuses on some aspects of the mechanical behaviour of a discoidal switching flux permanent magnet generator in three sections. The first one deals with torque ripple reduction by the identification of the optimal rotor tooth size. The second one focus on the common problem of the rotor's mechanical strength in axial flux machines studying their deflection and optimal design for mass reduction...
The three-channel optical-electronic device of two spectral relations is described in article. The theoretical construction principles of the device are formulated. The technical solutions for device implementation were worked out by the results of the carried out computer simulation. Carrying out tests of the developed device became the end of work. The result was the testing of the developed device.
An automatic, text-independent speaker verification (SV) system is proposed using Line Spectral Frequency (LSF) features. The state-of-the-art Gaussian Mixture Model with Universal Background Model (GMM-UBM) framework is used for speaker modeling and verification. A score-level fusion based technique is employed in order to extract complementary information from static and dynamic LSF features and...
This paper proposes a new probability iterative closest point approach with bounded scale based on expectation maximization (EM) estimation for scaling registration of point sets with noise. The bounded scale ICP algorithm can handle the case with different scales, but it could not effectively yield the alignment of point sets with noise. Aiming at improving the registration precision, a Gaussian...
The long term goal of artificial intelligence and computer vision is to be able to build models of the world automatically and to use them for interpretation of new situations. It is natural that such models are efficiently organized in a hierarchical manner; a model is build by sub-models, these sub-models are again build of another models, and so on. These building blocks are usually shareable;...
In this paper, we present a scene recognition framework, which could process the images and recognize the scene in the images. We demonstrate and evaluate the performance of our system on a dataset of Oxford typical landmarks. In this paper, we put forward a novel method of local k-meriod for building a vocabulary and introduce a novel quantization method of soft-assignment based on the Gaussian mixture...
In this paper, we intend to propose a new method to incorporate geometric shape prior into an edge-based active contours for robust object detection in presence of partial occlusions, low contrast and noise. A shape registration method based on phase correlation of binary images, associated with level set functions of the active contour and a reference shape, is used to define prior knowledge making...
Modern aircraft are capable of maneuvers exceeding those possible by purely aerodynamic design. This capability, called supermaneuverability, includes rapid changes in acceleration and high-G turns that are not feasible from traditional aircraft. Furthermore, newer aircraft often have a low radar cross-section (RCS) profile and/or RCS which varies rapidly with look angle. This paper summarizes the...
A common problem in network analysis is detecting small subgraphs of interest within a large background graph. This includes multi-source fusion scenarios where data from several modalities must be integrated to form the network. This paper presents an application of novel techniques leveraging the signal processing for graphs algorithmic framework, to well-studied collaboration networks in the field...
The Ensemble Kalman Filter (EnKF) is a Kalman based particle filter which was introduced to solve large scale data assimilation problems where the state space is of very large dimensionality. It also achieves good results when applied to a target tracking problem, however, due to its Gaussian assumption for the prior density, the performance can be improved by introducing Gaussian mixtures. In this...
Nowadays, mining approximate frequent itemsets from noisy data has attracted much attention in real applications. However, there is not widely accepted algorithm at present to solve the problem under noisy databases, which dues to two key issues. Firstly, the anti-monotonicity property does not hold which is used to prune candidate itemsets efficiently. And secondly, the computation of support counting...
In this contribution a novel method is discussed that is of practical use for analyzing the electromagnetic compatibility behavior of electronic systems. The aim is to develop an efficient technique that mimics radiated immunity and emission tests in the presence of multiple non-collocated noise sources in simulation. The proposed method is simple in that it only relies on the simulated (or measured)...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.