[PDF] Top 20 Fault Diagnosis and Application Based on SOM Neural Network
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Fault Diagnosis and Application Based on SOM Neural Network
... With the increasing level of science and modern technology, especially the rapid development of science in computer science and control, so that the size and complexity of the system increases rapidly, the safety and ... See full document
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Fault Diagnostic Method for Micro grid Based on Wavelet SOM Neural Network and Multi Agent System
... the fault diagnosis of wind power generation simulation system of micro grid ...the fault diagnosis of micro grid though the diagnosis rules ...a fault diagnosis model ... See full document
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The research of how to identify the computer network fault by improving neural network
... Computer network is one of the most important equipment in the whole world, with the gradual and rapid development of its scale, how to manage and maintain the computer network is becoming more and more ... See full document
9
Robust Fault Detection of Multilevel Inverter using Optimized Radial Basis Function based Artificial Neural Network in Renewable Energy Power Generation Application
... of fault diagnosis is applied on the 7 level MLI with Back Propagation ANN, Genetic Algorithm , PSO optimized ANN and CSA optimized ...The neural network while training uses minimization of ... See full document
8
Artificial Neural Network Based Fault Diagnosis of a Pulley-Belt Rotating System
... one fault type is presented at a ...first fault is introduced and the other neurons are zeroes and so on for the other fault ...the application in this ... See full document
8
Fault Diagnosis of Electronic Circuits Based on Matlab
... intelligent diagnosis method for three-phase inverters of electronic circuits, and select three-phase full-bridge inverters with wide ...the fault type of the inverter is ...the fault of the ... See full document
8
Fault Diagnosis of Gearbox with a Transferable Deep Neural Network
... learning based gearbox fault detection and diagnosis approach based on domain ...minimized based on the collective minimization of the cross entropy loss and multi kernel maximum mean ... See full document
9
Fault Detection and Diagnosition System for a 19 Level Cascaded Multilevel Inverter using ANN
... algorithm based selective principal component neural network method for fault diagnosis system in a multilevel ...the neural network input ...a neural ... See full document
7
Neural Network Method for Fault Diagnosis of Analog Circuit Based on Kurtosis and Skewness
... The brief procedure of our method is as follows: we first collect original voltage and current signals from output terminal in order to determine their kurtosis and skewness as fault eig[r] ... See full document
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Fault Detection and Diagnosis of Induction Machines based on Wavelet and Probabilistic Neural Network
... Different fault feature extraction techniques have been proposed in the literature, of which stator current based approach is the most employed non-invasive method for monitoring of motor faults, especially ... See full document
7
Fault Diagnosis of Transmission Line using Feed Forward Neural Network
... on fault diagnosis and classification in transmission line has been made and ...Artificial Neural System (ANS) and Kalman channel based calculation utilizing voltage sounds for the assurance ... See full document
6
Modular Hardware Implementation of SOM Neural Network Based on FPGA
... of SOM neural network based on ...the application requirements of high-speed and miniaturized intelligent information processing ... See full document
7
MOBILE SINK BASED RELIABLE AND ENERGY EFFICIENT DATA GATHERING TECHNIQUE FOR WSN
... inverter based induction drives (MLID) are the best solution for the industrial drive needs, which reduces the harmonics and increases the efficiency of the ...the fault in it. In this paper a new ... See full document
8
Fault Diagnosis of an Induction Motor based on Fuzzy Logic, Artificial Neural Network and Hybrid System
... a fault diagnosis of an induction motor based on fuzzy logic and artificial neural ...logic, neural network and hybrid system to interpret root mean square currents of induction ... See full document
10
Neural Network based Fault Diagnosis in Analog Electronic Circuit using Polynomial Curve Fitting
... Fig 2: Proposed model of artificial neural network for the fault diagnosis in analog circuits X1.......Xn represents the coefficients of the polynomial fitted to the output frequency res[r] ... See full document
7
Incipient Fault Diagnosis in Power Transformer based on Dissolved Gas Analysis by Artificial Neural Network
... Artificial Neural Network is applied to DGA for the interpretation incipient faults in power ...transformers. Fault interpretation can found to be a problem of multi-class ...the network ... See full document
9
Fpga realization of rbf neural network based transformer impulse fault classification scheme
... through application-specific integration of IP cores in the FPGA - an alternative for the future, especially for very specialized applications with only small or medium ...DWT based feature extraction and ... See full document
7
Machine Learning based Early Fault Diagnosis of Induction Motor for Electric Vehicle Application
... drive application. The novel Duplex Neural-Lumped Thermal Network model which uses a trained neural network along with lumped thermal model operating at same time for consideration of ... See full document
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Application of SOM Neural Network in the Construction of Urban Ramp Driving Cycle
... is based on principal component analysis theory and clustering analysis theory, and the effect of clustering analysis has a direct impact on the accuracy of constructing ramp driving ...cycle. SOM ... See full document
5
OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON
... the fault diagnosis of nonlinear system has become a hot and difficult problem in today's fields of fault diagnosis; transformer fault diagnosis is one of ...Because ... See full document
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