fault classification
Fpga realization of rbf neural network based transformer impulse fault classification scheme
... for fault detection and classification in transmission lines had been presented in (Simi ...impulse fault classification scheme consisting of parallel LVQ neural network for impulse ...
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Fault Classification On Power System Transmission Line Using Pattern Recognition Algorithm
... for fault classification using both real and simulated ...a fault situation is detected, the next step is to classify the fault to know the type of fault ...
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Fault Classification using Fuzzy for Grid Connected PV System
... the fault classification using fuzzy in a distributed generation, particularly photovoltaic grid connected ...in fault detection of PV system is recognition, investigation and classification ...
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Application of Extreme Learning Machine in Fault Classification of Power Transformer
... power transformer in good health. Generally gases are produced during its operation and they get dissolved in transformer oil. These gases are extracted from oil and measured using gas chromatograph. Alternatively they ...
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An Accurate Power System Fault Classification and Location Algorithm for Series Compensated Line
... elaborate fault classification and locating algorithm to digital distance relay or digital fault recorders or in stand- alone dedicated fault locating ...of fault have tremendous cost ...
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The use of PIC Microcontrollers for Fault Classification of a Series Compensated Transmission Line
... microcontroller. Fault diagnosis is performed using wavelet transform and multi resolution analysis on the line currents at both ...of fault that has ...
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Adaptive Approach for Fault Classification of Parallel Transmission Line
... of fault generated transients using wavelet transform, followed by pattern recognition using artificial neural network to identify the type of the ...generate fault signals and verify the correctness of the ...
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Fault Classification, Distance Location and Faulty Section Identification in Teed Transmission Circuits using Artificial Neural Network
... of fault (SLG, LLG, LL, LLLG each section) at different fault locations between 0-90% of line length and fault inception angles between 0 & 90° have been simulated as shown below in Table ...of ...
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Fault Classification in Radial Distribution Feeder
... conductor fault has ...three-phase fault in order to test the ...occurring fault is LG fault and this fault is less severe when compared to the other ...next fault in severity ...
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Fault Classification of Reciprocating Compressor Based on Neural Networks and Support Vector Machines
... many industrial systems and faults occurring in them can degrade performance, consume additional energy, cause severe damage to the machine and possibly even system shut-down. Traditional vibration monitoring techniques ...
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Fuzzy Logic Based Fault Classification Scheme for Digital Distance Protection
... accurate classification of occurred faults with high reliability is necessary for these techniques because recent fault distance protection schemes utilize the results obtained from fault ...
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A Fast Fault Classification Technique for Power Systems
... fast fault classification technique using three phase current signals for power ...phase fault currents. Fast fault classification can be achieved using the fault probability of ...
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Fault Classification in Power Distribution System by ANFIS with FFT and Clarke Transform
... Abstract— This article is an approach to classify fault in power distribution system using ANFIS. The proposed work extract feature based on Fast Fourier Transform(FFT) in association with Clarke transform. FFT is ...
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Fault Classification and Localization in Power Systems Using Fault Signatures and Principal Components Analysis
... 220 fault samples for algorithm simulation and testing. The classification accuracy was calculated to be at ...per fault signature in the training set, and was improved to 100% by increasing the ...
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A comprehensive review and performance evaluation in solar (PV) systems fault classification and fault detection techniques
... systems fault detection and ...PV fault detection diagnosis systems based on ML ...a fault is also required for accurate training and ...in fault detection helps to overcome the difficulty of ...
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Induction Motor Fault Classification using Pattern Recognition Neural Network
... The whole feature matrix was split into training (315) and testing (105) dataset i.e. 45 training samples and 15 testing samples for each motor condition. The PatternNet was trained using training data set with two ...
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WAVELET TRANSFORM BASED FAULT DETECTION AND CLASSIFICATION IN TRANSMISSION LINE
... correct fault type, the main disadvantages of Fuzzy and ANN are; requires a considerable amount of training effort for good ...in fault detection and classification due to its ability to express ...
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Based on the LMD - KPCA - LSSVM Mechanical Fault Diagnosis Research
... bearing fault classification model in KPCA combined with LSSVM is given; the actual data simulation results show that the KPCA-LSSVM classification model performance was better than directly using ...
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Gear fault diagnosis and classification using data vibration
... gear fault classes: healthy gear, with pinion defect, with wheel defect and with both pinion and wheel ...the fault classification results using appropriate feature extraction combined to nonlinear ...
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Research of Sensor Fault Detection and Diagnosis for EMB System Based on CSA-SVM Model
... sensor fault detection model is established on the basis of Support Vector Regression (SVR), and the sensor fault diagnosis model is established on the basis of Support Vector Classification ...for ...
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