Power and Energy
This is the dataset of the paper: A Non-Invasive Circuit Breaker Arc Duration Measurement Method with Improved Robustness Based on Vibration–Sound Fusion and Convolutional Neural Network (https://doi.org/10.3390/en16186551). Here is the abstract of the paper. Previous studies have shown that the contact wear estimation of circuit breakers can be based on the accumulative arc duration. However, one problem that remains unresolved is how to reliably measure the arc duration.
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210 Views
Energy-storage-equipped static synchronous compensators (E-STATCOM) are crucial devices in a modern
power grid to regulate both the active and reactive power, thereby improving the efficiency and power
quality. Current controllers commonly used with E-STATCOM devices include proportional-integral (PI),
repetitive, and deadbeat controllers. However, each has application-dependent restrictions and therefore lack
the ability to achieve optimal operation. This paper presents a novel hybrid current controller that combines
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289 Views
This dataset includes corona discharge images under AC, + DC, and - DC voltages. To generate corona discharge, three types of electrodes were used. These are the conical rod - plane, the hemispherical rod - plane, and the hemispherical rod - hemispherical rod. One electrode was connected to the high voltage, and the other was connected to the ground potential. A digital single-lens reflex (DLSR) camera was used to capture corona discharge images from corona inception to the gap breakdown.
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244 Views
This paper presents the theory and key experimental findings for an investigation into the generation of bimodal resonance
(frequency splitting) phenomena in mutually over-coupled inductive sensors, and its exploitation to evaluate relative separation and
angular displacement between coils. This innovative measurement technique explores the bimodal resonant phenomena observed
between two coil designs - solenoid and planar coil geometries. The proposed sensors are evaluated against first-order analytical
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7 Views
Database of the times the device remained in each state (idle, low power mode, transmitting and listening, respectively), number of hops, hop distance (d), transmission rate (_R) and size of the packet sent (_Nb), measured on the Tmote Sky device using an Aloha Puro protocol with RDC implemented in the Contiki operating system.
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232 Views
DataSet used in learning process of the traditional technique's operation, considering different devices and scenarios, perform the commutation through Pure ALOHA protocol, and make the device to operate with the best possible configuration.The control of energy consumption is essential for the operation of battery-operated systems, such as those used in IoT networks and sensors. The algorithms commonly employed for this purpose involve optimization functions with considerable complexity and rigorous control of the test environment.
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367 Views
The dataset encompasses a diverse array of electrical signals representing Power Quality Disturbances (PQD), both in single and combined forms, meticulously generated in adherence to the IEEE 1159 guideline. Crucially, the dataset includes both raw data and corresponding labels, facilitating supervised learning tasks and enabling the development and evaluation of classification algorithms.
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1556 Views
PV Solar Power System Under Partial Shading Irradiance Conditions
Operation of a solar photovoltaic (PV) array connected to a variable DC source to plot the l-V and P-V characteristics under partial shading irradiance conditions.
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653 Views
The Excel file contains samples of a laboratory-generated noisy voltage signal with a dc component under nonideal sampling.
This test signal is generated in a laboratory for assessing power frequency estimation algorithms.
The first column represents the sample time.
The second column represents the voltage signal samples.
The reference fundamental frequency is 46 Hz.
The nominal voltage amplitude is 10 V.
The actual sampling rate varies in the range of 9.99834~10.01027 kHz.
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485 Views
The synthetic dataset was developed in the Power Electronics and Electrical Drive Laboratory (Laboratório de Eletrônica de Potência e Acionamento Elétrico – LEPAC, in portuguese) at the Federal University of Espírito Santo (UFES), Brazil. The dataset was generated from a computer simulation of a three-phase squirrel cage induction motor model with the insertion of faults in the rotor, specifically broken bars. The induction motor mathematical model with broken bar fault is based on reference [1].
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1571 Views