Results 1 to 10 of about 264,326 (272)

Research on fault line selection method based on steady state variables

AIP Advances
When a single-phase ground fault occurs, the transient zero sequence current will significantly increase. So, it is possible to detect whether a single-phase grounding fault has occurred in the transmission line by calculating and comparing the amplitude
Sha Wang, Changsheng Liu, Shengkai Wei
doaj   +1 more source

Faulty Feeder Detection Based on Multiple Transient Characteristics Fusion in Resonant Grounding Systems

Mathematics
To address the low accuracy of faulty feeder detection methods based on single-fault characteristics, we propose a faulty feeder detection method for resonant grounding systems that fuses multiple transient characteristics.
Ruihao Ma, Qingle Pang
doaj   +1 more source

Fault Protection Method for Low-Current Grounding Systems in Active Distribution Networks Based on an Improved Clustering Algorithm

IEEE Access
With the increasing global focus on carbon neutrality and the development of renewable energy, a large number of distributed generation units have been integrated into the distribution network to enhance sustainability and reduce carbon emissions.
Chen Xue, Jian Zhu, Shengmin Tan, Guojing Zhang, Chen Liu   +4 more
doaj   +1 more source

Approximate Entropy Based Fault Localization and Fault Type Recognition for Non-solidly Earthed Network

Measurement Science Review, 2012
For non-solidly earthed network, the fault localization of single phase grounding fault has been a problem. A novel fault localization and fault type recognition method of single phase grounding fault based on approximate entropy is presented.
Pang Qingle, Liu Xinyun, Sun Bo, Ling Qunli   +3 more
doaj   +1 more source

Vector Modulation-Based Model Predictive Current Control with Filter Resonance Suppression and Zero-Current Switching Sequence for Two-Stage Matrix Converter

Energies, 2021
This paper proposes a novel model predictive current control scheme for two-stage matrix converter. The switching frequency is kept constant by fixing the switching instant. The control strategy achieves to control source reactive power in the input side
Zhengfei Di, Demin Xu, Kehan Zhang
doaj   +1 more source

On the interpretation and identification of dynamic Takagi-Sugenofuzzy models [PDF]

, 2000
Dynamic Takagi-Sugeno fuzzy models are not always easy to interpret, in particular when they are identified from experimental data. It is shown that there exists a close relationship between dynamic Takagi-Sugeno fuzzy models and dynamic linearization ...
Johansen, T.A., Murray-Smith, R., Shorten, R.   +2 more
core   +3 more sources

Waveform similarity-based recurrent temporary fault identification in a medium-voltage distribution network

Diance yu yibiao
Temporary faults in a medium-voltage distribution network may recur many times before they evolve into permanent faults. To accurately identify recurrent temporary faults can help to realize fault anticipation, reduce the occurrence of a permanent fault ...
CHEN Lin, ZHANG Wenhai, XIAO Xianyong, LI Changsong   +3 more
doaj   +1 more source

Faulty Feeder Detection Method Based on VMD–FFT and Pearson Correlation Coefficient of Non-Power Frequency Component in Resonant Grounded Systems

Energies, 2020
Through analyzing the transient components and transient characteristics in transient zero-sequence current (TZSC), a novel fault feeder detection method based on the transient correlation of non-power frequency components (NPFCs) for the resonant ...
Kewen Wei, Jing Zhang, Yu He, Gang Yao, Yikun Zhang   +4 more
doaj   +1 more source

Hurst's Rescaled Range Statistical Analysis for Pseudorandom Number Generators used in Physical Simulations

, 1997
The rescaled range statistical analysis (R/S) is proposed as a new method to detect correlations in pseudorandom number generators used in Monte Carlo simulations.
A. M. Ferrenberg, B. B. Mandelbrot, B. B. Mandelbrot, D. E. Knuth, D. H. Lehmer, F. James, F. James, F. Schmid, G. Marsaglia, G. Marsaglia, G. Marsaglia and, G. Marsaglia,, H. E. Hurst, H. E. Hurst, H. Niederreiter, I. Vattulainen, I. Vattulainen, I. Vattulainen, I. Vattulainen, J. Eichenauer and, J. Eichenauer-Hermann, J. Eichenauer-Hermann, L. Blum,, L. E. Schrage, M. D. McLaren, M. Fushimi, M. Lüscher, M. Matsumoto and, M. Matsumoto and, P. Bratley, P. D. Coddington, P. Grassberger, P. Grassberger, P. L’Ecuyer, P. L’Ecuyer, P. L’Ecuyer, P. L’Ecuyer, P. L’Ecuyer, R. C. Tausworthe, R. Couture, R. M. Ziff, S. K. Park, S. Kirkpatrick, S. Tezuka, T. G. Lewis, W. Feller, W. H. Press, W. H. Press, W. L. Maier, W. Selke   +49 more
core   +1 more source

Autonomous Reinforcement of Behavioral Sequences in Neural Dynamics [PDF]

, 2012
We introduce a dynamic neural algorithm called Dynamic Neural (DN) SARSA(\lambda) for learning a behavioral sequence from delayed reward. DN-SARSA(\lambda) combines Dynamic Field Theory models of behavioral sequence representation, classical ...
Kazerounian, Sohrob, Luciw, Matthew, Richter, Mathis, Sandamirskaya, Yulia   +3 more
core   +1 more source