[PDF] Top 20 Fault Diagnosis of an Induction Motor based on Fuzzy Logic, Artificial Neural Network and Hybrid System

Fault Diagnosis of an Induction Motor based on Fuzzy Logic, Artificial Neural Network and Hybrid System

... the fault diagnosis of a three-phase induction motor using fuzzy logic, neural network and hybrid ...overload motor fault using these ... See full document

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Genetically Tuned Interval Type-2 Fuzzy Logic for Fault Diagnosis of Induction Motor

... a fuzzy system type-2 augmented by a learning process based on a genetic algorithm ...computer system is called as knowledge base (KB) ...a fuzzy system for a particular ...and ... See full document

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Pancreatic Cancer Detection and Diagnosis Expert System using Artificial Neural Networks and Fuzzy Logic Techniques

... This System presents a neural network based approach for pancreatic cancer ...automatic diagnosis of pancreatic cancer is an important medical ...This system uses a set of ... See full document

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Motor Health Detection using Fuzzy Logic

... that Induction Motor monitoring has been studied by many researchers and reviewed in a number of works ...and diagnosis methods supported by the artificial intelligence, the microprocessor, ... See full document

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Artificial Neural Network Based Induction Motor Speed Controller

... the induction motor had been employed such as the scalar (or the Volts/Hertz) control where the speed of the motor is controlled by scaling the voltage in proportion to the desired ...Control ... See full document

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Direct torque control of three phase induction motor using neural network fuzzy logic techniques

... combining fuzzy logic and Artificial Neural Network using ANFIS (Artificial Neuro Fuzzy Inference ...the Neural Network are extracted from the Fuzzy ... See full document

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Artificial Intelligence Based Fault Diagnosis of Power Transformer-A Probabilistic Neural Network and Interval Type-2 Support Vector Machine Approach

... the artificial intelligence techniques are implemented for the faults classification using the dissolved gas analysis for power ...The fault diagnosis models performance was analyzed with interval ... See full document

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Enactment investigation of indirect vector control induction motor using various predictive controller

... controller based on fuzzy logic, neural networks and other computation intellect proposals to deal the dynamics of great performance flexible frequency Induction ...on induction ... See full document

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Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For The Motor

... the fault diagnosis of the motor, the vibration signals can fully reflect the status of the ...packet fault feature extraction, a new approach for motor fault diagnosis ... See full document

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Artificial Neural Network Based Fault Diagnosis of a Pulley-Belt Rotating System

... faults diagnosis is typically based on vibration, acoustic emission, and motor signal analysis ...methods. Artificial intelligence techniques with their remarkable ability to derive meaningful ... See full document

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Framework for a Genetic-Neuro-Fuzzy Inferential System for Diagnosis of Diabetes Mellitus

... socio-economy. Artificial Intelligence techniques have been successfully employed in diabetes disease diagnosis, risk evaluation, patient monitoring, and ...in diagnosis of diabetes has been ... See full document

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Title: Relevance of Neural Network in Fault Detection of Single Phase Induction Motor

... Neuro fuzzy controller used in the advanced fuzzy logic fault detector for detecting the incipient motor faults in single phase induction ...of Fuzzy Systems and ... See full document

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Comparison of Fuzzy Logic & Hybrid Controller based DTC Technique of Induction Motor

... of motor values are generated in form of vector and data is provided to neural ...of motor. Then the trained data is applied to the fuzzy interference system for generating the control ... See full document

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Adaptive and intelligent navigation of autonomous planetary rovers – a survey

... learning-based hybrid algorithms have been trialed for path planning ...layer neural network that does not require adjustment of weights, is combined with reinforcement Q-learning [27] to ... See full document

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Wear Particle Classifier System Based on an Artificial Neural Network

... "Neural Network for Wear Particle Classification", Neural_WPC, was used to perform the ...training network and particle classifier. The training network executes the MLP training and ... See full document

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Knowledge Based Deep Learning Collaborative Filtering (KBDLCF)

... recommendation system that dynamically suggest interesting URLs for the current ...a fuzzy clustering algorithm to the user ...of fuzzy rules a hybrid approach based on the combination ... See full document

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Applying Fuzzy Logic Model for Bending Rigidity Evaluation of Woven Fabrics

... and artificial neural network, with corresponding experimental results in terms of absolute error % of prediction ...of artificial intelligence method, a novel approach is proposed to overcome ... See full document

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Sugeno Type Fuzzy Inference Model for Stock Price Prediction

... [18] Study stock trend prediction system based on Artificial Neural Network ANN and fuzzy logic rules using technical indicators and Elliott’s wave theory.. In this approach the neural n[r] ... See full document

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Medical image classification and symptoms detection using neuro fuzzy

... of artificial intelligent techniques for instance, neural networks, fuzzy logic, neuro fuzzy has shown great potential in this ... See full document

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Application of Power Spectrum, Cepstrum, Higher Order Spectrum and Neural Network Analyses for Induction Motor Fault Diagnosis

... of induction motor faults, on the basis of experimental ...approaches based on power spectrum, cepstrum and bispectrum (one of higher order spectra) analysis are compared each ...in induction ... See full document

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