[PDF] Top 20 On the application and design of artificial neural networks for motor fault detection

On the application and design of artificial neural networks for motor fault detection

... There exist many different ways to view an artificial neural network. From the system engineering point of view, it may be easier to visualize a neural network as the l[r] ... See full document

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On the application and design of artificial neural networks for motor fault detection. II.

... P of the use of artificial neural networks in motor fault detection applications. In Part I1 of this paper, we will discuss how to design an artificial neural network for[r] ... See full document

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Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK

... Abstract— Artificial neural networks have been in the position of producing complex dynamics in control applications over the last decade, especially when they are linked to ...network design, ... See full document

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Application of Artificial Neural Networks in Civil Engineering

... 2) Data Mining Approach: Witold Dzwinel [23] developed a novel technique based on cluster analysis of the multi-resolutional structure of earthquake patterns and applied to observe and synthetic seismic catalogs. The ... See full document

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Application of Artificial Neural Networks in the Prediction of Critical Buckling Loads of Helical Compression Springs

... [1] analytical results give greater critical buckling loads than all the numerical results in Table 4. The proposed ANN results are very close to the numerical results in the present work. As stated above, the distinct ... See full document

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Title: DIABETES DIAGNOSIS USING MACHINE LEARNING

... Abstract— Artificial neural networks have been in the position of producing complex dynamics in control applications over the last decade, especially when they are linked to ...network design, ... See full document

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Fault Detection and Isolation of Vehicle Driveline System

... of artificial neural networks to design suitable FDI systems in connection with both predictors of dynamic nonlinear models as well as pattern ... See full document

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Fault Classification with Artificial Neural Networks based on the Application of Teager Energy Operator

... appropriate design for the particular engineering ...brought artificial intelligence techniques to wide application in fault classification and ...different fault types: generator ... See full document

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Neural Network Approach to Modelling the Behaviour of Ionic Polymer Metal Composites in Dry Environments

... for design tasks linked to the development of active devices based on this kind of smart ...of artificial neural networks ...such neural networks prove to be a precise simulation ... See full document

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Mems Based Motor Fault Detection in Windmill Using Neural Networks

... and fault diagnosis of induction motors are of great importance in production ...early detection of potentially catastrophic ...by motor driven systems. Among these motor systems, ... See full document

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FAULT DETECTION IN THREE PHASE INDUCTION MOTOR USING ARTIFICIAL INTELLIGENCE

... induction motor are used for generating the data for voltage unbalance condition and bearing ...The motor parameters which include supply voltage, current, torque and speed at corresponding condition ... See full document

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Accelerated artificial neural networks on FPGA for fault detection in automotive systems

... sensor fault detection compu- tationally. Artificial Neural Networks (ANNs) are a promising approach in this regard, since they can be used to mimic these physical relations (by ... See full document

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Autonomous fault detection in self healing systems : comparing Hidden Markov Models and artificial neural networks

... The categorisation of dataset information is accomplished via fitness tests that validate the responsibilities of the virtual machine. In this case the virtual machine’s primary purpose is to act as a web-server for both ... See full document

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Robust Fault Detection of Multilevel Inverter using Optimized Radial Basis Function based Artificial Neural Network in Renewable Energy Power Generation Application

... the fault in the ...the fault is predicted in the MLI using the ANN [4]. Various fault modes of the VSI system is investigated for an induction motor drive ...on fault diagnosis was ... See full document

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Steganography Detection using Functional Link Artificial Neural Networks

... Link Artificial Neural Network to detect the coded ...forward neural network and to overcome the linear mapping, functionally expands the input ...of neural networks using JPEG ...the ... See full document

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Transmission lines fault detection using Discrete Wavelet Transform and artificial neural network algorithm

... for fault discovery of three-phase transmission line, which is primarily based upon the discrete wavelet transformation (DFT) and back propagation neural network ...propagation neural network ... See full document

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Artificial Intelligence Applications for Analysis of E mail Communication Activities

... social networks focuses on finding patterns in the way people interact or contact with each ...of networks being studied under the broad field of complex networks ...Complex networks examines ... See full document

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Inputs Selection for Artificial Neural Networks for Multivariate time Series

... the neural networks was proposed in ...better neural network model for real life time series which consequently gave better forecasts 8-11,13 , ... See full document

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Face Recognition and Feature Detection Using Artificial Neural Networks and ANFIS

... Neuro-fuzzy models, including adaptive neuro fuzzy inference systems (ANFIS) [14], [15] are fuzzy inference systems implemented as neural nets. Each layer in the network correspondsto a part of the FIS: input ... See full document

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Virus Detection using Artificial Neural Networks

... the neural network. Inputs are the most important part of neural networks as choosing efficient inputs gives accurate ...the neural network with a variety of files one can identify whether a ... See full document

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