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Search results for: neural network
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181. Transformer Core Saturation Fault Analysis using Current Sensor Signals and Thermal Image Features
Year: 2023, Volume: 23, Number: 4
... Resolution wavelet- Deep faults. Signal analysis techniques are applied in CT signals Convolutional Neural Network. Energy band-based values from current sensor signal and current sensor thermal image ... extract relevant information regarding inrush current Haralick features are used for differentiating transformer and harmonics [4]. Fault is detected using classification of core-based and load-based faults. ...
Year: 2017, Volume: 17, Number: 3
... . Many MPP tracking (FLC) MPPT technique [16-18], and the neural network methods have been proposed for this purpose. One of these is method ... 19-22]. However, the realization of artificial the Perturb and Observe Method (P &O) which is the most intelligence methods is overwhelmingly complex in the ...
Year: 2011, Volume: 11, Number: 3
... its derivatives. Since in these approaches, the Other clustering methods are based on neural networks clustering criterion is based on Euclidean distance between [32] -[ ... ]. The neural networks have the capability of the samples and calculated centers of clusters, inappropriate constructing an arbitrary nonlinear mapping from multiple value selection of the number ...
Year: 2011, Volume: 11, Number: 2
... coating of CWF, turn length of CWF and winding Three-Phase Transformer Energization Using Artificial Neural pitch will be effective on the total SC of the MCG. In order ... , we need to calculate the SC in the following cases: node-to-node lumped capacitance network. Reference [7] ï‚· Capacitance between wire filaments in one turn ( ...
Year: 2014, Volume: 14, Number: 4
... . H. Zaabab, Qi-Jun Zhang, and M. Nakhla, "A neural network Regular Papers, vol. 61, no. 7, pp. ... allows to create a describing complex devices, like those found in integrated deterministic augmented network from circuit inspection. circuits. Moreover, based on recently-published works in this ...
186. Interval Type-2 Fuzzy Logic Controller Based Maximum Power Point Tracking in Photovoltaic Systems
Year: 2013, Volume: 13, Number: 3
... [5-6]. and output variables of fuzzy logic controller. Since type-2 The neural networks are also used as MPPT algorithm. fuzzy sets are used, effect ... uncertainties on maximum power Since the PV arrays have different characteristics, neural- point tracking capability is removed. Operation point of the networks have to be trained for ...
Year: 2020, Volume: 20, Number: 2
... and textural Watershed applied on Euclidean distance map features were used as input to the neural network from the mask for segmentation for segmentation Minervini, Giffrida, Perata Convert ... image to log-polar representation; K-means technique for finding binary mask and and Tsaftaris [19]& patches are extracted, K-means is applied for fed as input to ...
Year: 2021, Volume: 21, Number: 3
... data mining methods to Applications with Noise (DBSCAN) [3 ], Artificial Neural improve the Maritime Situational Awareness, handling existing difficulties for example automatic maritime route ... , Turkey yunus@cs.deu.edu.tr 1 Abstract — This paper addresses the discovery of hidden Network [4 ], Random Forest [5 ], Support Vector Machines patterns ...
Year: 2021, Volume: 21, Number: 4
... under electricity markets," to-grid aggregator for frequency regulation," IEEE Transactions on Neural Computing and Applications, vol. 23, no. 7, pp. ... of EVs in be monitored and controlled efficiently [3-4]. Previous the distribution network contributes to the increment of capital works investigated the power aggregator of EV, ...
Year: 2009, Volume: 9, Issue: 3
... ] Battiti, R., "Using mutual information for selecting features in supervised neural net learning", IEEE Trans. on Neural Networks, Facial expression recognition ... on hybrid face vol. 5, no. 4, pp. 537-550, 1994. regions (HFR) has been investigated to determine the part of [ ...
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