neural network based fault diagnosis
Neural Network based Fault Diagnosis in Analog Electronic Circuit using Polynomial Curve Fitting
... The neural network with 10 (X=10) nodes In the input layer and one node in the output layer is ...Six neural network architecture each for one comonent under the diagnosis process is ...
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Artificial Neural Network Based Fault Diagnosis of a Pulley-Belt Rotating System
... Performance evaluation of the designed ANN is assessed using the mean square error (MSE), indicated in Fig. 7 and Table 1, and the correlation coefficient (R), which is presented in Fig. 8 where the ANN estimation and ...
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Fault Diagnosis of Motor Bearing Based on the Bayesian Network
... bearing fault intelligent diagnosis methods based on genetic algorithm and neural network, while Bayesian network has a good learning, inference and ...Bayesian network is ...
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Research on intelligent fault diagnosis of mechanical equipment based on sparse deep neural networks
... the fault and vibration of wind ...of fault diagnosis was not high. This paper used proposed deep neural network technology to diagnose it again based on the published data [28], ...
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Vibration signal analysis and fault diagnosis of bogies of the high-speed train based on deep neural networks
... current fault diagnosis methods require artificial design and selection of bogie fault signal features and are defective in large time consumption, large workloads and low diagnosis ...years, ...
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Machine Learning based Early Fault Diagnosis of Induction Motor for Electric Vehicle Application
... Duplex Neural-Lumped Thermal Network model which uses a trained neural network along with lumped thermal model operating at same time for consideration of thermal issue as a single learning ...
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Fault Diagnosis of Electronic Circuits Based on Matlab
... current fault diagnosis of power electronics is mainly divided into the following methods: 1, based on the analytical model of the method; the method can be used to evaluate the whole system, but it ...
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MOBILE SINK BASED RELIABLE AND ENERGY EFFICIENT DATA GATHERING TECHNIQUE FOR WSN
... The Neural network trained by meta-heuristic algorithms is used to get optimal solutions, which makes the diagnosis system to identify the fault faster and give the control ...of fault ...
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Multi-layer neural network with deep belief network for gearbox fault diagnosis
... Gearboxes play crucial roles in the mechanical transmission systems, are used to transmit power between shafts and are expected to work 24 hours a day in the production system. Any failures with the gearboxes may ...
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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 ...
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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 ...
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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 ...
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Incipient Fault Diagnosis in Power Transformer based on Dissolved Gas Analysis by Artificial Neural Network
... Like a blood test or a scanner examination of the human body DGA can warn about an impendent problem, give an early diagnosis, and increase the chances of finding the appropriate cure. Power transformers are ...
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Fault Diagnosis of Transmission Line using Feed Forward Neural Network
... that Fault characterization must be precise to encourage speedy repair of the framework, enhance framework accessibility and diminish working expenses due to mal-operation of ...Artificial Neural Systems ...
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Bearing fault diagnosis based on improved VMD and DCNN
... convolutional neural network (DCNN) method to realize the intelligent fault diagnosis of rolling element ...bearing fault characteristic ...learn fault features and establish ...
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Wavelet support vector machine and multi-layer perceptron neural network with continues wavelet transform for fault diagnosis of gearboxes
... selected based on wavelet selection criterion to extract statistical features from wavelet coefficients of raw vibration ...selected based on Maximum Relative Wavelet Energy ...extracted based on ...
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Application of Power Spectrum, Cepstrum, Higher Order Spectrum and Neural Network Analyses for Induction Motor Fault Diagnosis
... approaches based on power spectrum, cepstrum and bispectrum (one of higher order spectra) analysis are compared each ...the fault symptoms demonstrate characteristics in rich sidebands and ...the ...
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Online Full Text
... scooter fault diagnosis system based on continuous wavelet transform technique and faults classification using artificial neural network for the purpose of the fault detection ...
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Data–Driven Fault Diagnosis of a Wind Farm Benchmark Model
... earlier fault detection and diagnosis with application to a wind farm ...was based on fault estimators relying on data–driven approaches, as they represented effective tools for coping with a ...
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Research on fault diagnosis of hydraulic pump using convolutional neural network
... Traditional fault diagnosis approaches are generally based on mechanism, characteristic frequency or faulty feature extraction ...same fault characteristic frequency. For the purpose of ...
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