[PDF] Top 20 Automation in fault detection using neural network and model updating
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Automation in fault detection using neural network and model updating
... suggested that lhe mixed alumina product had a higher eraLer wear resistance tban DBC50. this difference accountcd for the fact lhat the CC650 fa.ilcd after 30 seconds of cut[r] ... See full document
167
ANN based Classification and Location of Faults in EHV Transmission Line
... for Fault Classifier and Fault Locator for locating faults occurring on a double circuit dual feed EHV transmission line, using Artificial Neural ...voltage and current at ... See full document
4
Fault Detection and Classification in Power Electronic Circuits Using Wavelet Transform and Neural Network
... faults in any analog circuit is highly required to ensure the reliability of the ...Early detection of faults in a circuit can greatly assist in maintenance of the system by avoiding possibly ... See full document
6
Intelligent System for Detection of Abnormalities in Human Cancerous Cells and Tissues
... advances in the field of MML (Medical Machine Learning) a significant change has been witnessed and traditional diagnostic procedures have been converted into DSS (Decision Support ...discovery using ... See full document
7
Automatic volcanic ash detection from MODIS observations using a back-propagation neural network
... effects and aviation threats of volcanic eruptions, it is important to accurately locate ash in the ...accuracy and reliability of training a neural network to identify cases of ash ... See full document
9
Transformer Incipient Fault Prediction Using Combined Artificial Neural Network and Various Particle Swarm Optimisation Techniques.
... methods in transformer fault prediction is artificial neural network (ANN) [1, 11, ...directly and the complexity of computation in ANN is ...relationships and can ... See full document
16
NEURAL NETWORK APPROACH FOR EYE DETECTION
... similarity using correlation ...variations in scale, expression, rotation and ...shape and size at the same ...eye detection in real-time [1, 2,3,4] is by using infrared ... See full document
13
A Study of Various Intrusion Detection Model Based on Data Fusion, Neural Network and D-S Theory
... processing, and automatically acquiring these knowledge is rather difficult after being put forward in the last century and decades of rapid development, data fusion technology has been widely used ... See full document
7
A RECURRENT ELMAN NEURAL NETWORK - BASED APPROACH TO DETECT THE PRESENCE OF EPILEPTIC ATTACK IN ELECTROENCEPHALOGRAM (EEG) SIGNALS
... efforts in analyzing the entire length of the EEG recordings to detect traces of ...tedious and time-consuming, many automated epileptic EEG detection systems have been developed in recent ... See full document
4
Faults Classification of a Scooter Engine Platform Using Wavelet Transform and Artificial Neural Network
... scooter fault diagnosis system based on continuous wavelet transform technique and faults classification using artificial neural network for the purpose of the fault ... See full document
6
Using Neural Network for DJIA Stock Selection
... (ANFIS) and General Growing and Pruning Radial Basis Function ...matrices, and correlation to ...by using Relative Operating Characteristics (ROC) ... See full document
8
Threshold Prediction of a Cyclostationary Feature Detection Process using an Artificial Neural Network
... part in implementing a cognitive radio ...distortion and disturbances depending on the factors like distance, transmission medium and so ...distortions and noises tend to lower the ratio of ... See full document
8
CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL
... problems in the process ...non-linear model predictive control ...(MLP) neural network models since ...a neural network model is an accurate nonlinear model ... See full document
9
A Neural Network Model for Forecasting CO2 Emission
... element in environmental damage, mainly caused by anthropogenic ...quality and climate change at regional and global ...population and the increase in energy demand are the main causes ... See full document
6
Observing the Existence of Low-Frequency Variability in Monthly Rainfall Data at Southeastern Brazil using R Package Tools - Neural Networks and Wavelet
... variation in solar forcing is the annual ...cycles in multidecadal processes, as observed in the wavelet ...interpreted in the monthly rainfall series analyses in southeastern ...phase, ... See full document
21
A neural network model of ventriloquism effect and aftereffect.
... computational model proposed by Witten et al [54], that explores how synaptic plasticity can maintain spatial registry across input channels ...visual and auditory), in response to a sensory ... See full document
19
A Microcontroller Based Car-Safety System Implementing Drowsiness Detection And Vehicle-Vehicle Distance Detection In Parallel.
... controlled and prevented with the help of eye blink sensor using IR ...transmitter and an IR ...inside and outside the ...vehicle and can be used to reduce the speed of the ...warn ... See full document
3
Fault Tolerance Mobile Agent System Using Witness Agent in 2-Dimensional Mesh Network
... computing and check-pointing of data are finished and the message log i leave is logged, because of assuring that the agent has finished its task and data stored on the stable ...location in ... See full document
6
Neural Network-Based Identification and Approximate Predictive Control of a Servo-Hydraulic Vehicle Suspension System
... The designed controller shows better tracking of the de- sired output in the presence of deterministic disturbance input than the constant-gain PID controller. Although it shows marginal overshoots at the ... See full document
12
Non Intrusive Load Identification with Power and Impedance obtained from Smart Meters
... a model to determine the operation state changes of loads through a nonintrusive load monitoring performed by a neural ...developed model give opportunities to obtain the electrical consumption ... See full document
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