» Từ khóa: power network

Application of signal processing tools and artificial neural network in diagnosis of power system faults/ Nabamita Banerjee Roy, Kesab Bhattacharya. -- Boca Raton: CRC Press, 2022 xx, 123 p.: ill, 24cm. Call no. : 621.31 R888

 18 p hcmute 22/12/2022 516 4 Download

Từ khóa: Artificial neural network, Power system faults

The smart grid initiative, integrating advanced sensing technologies, intelligent control methods, and bi-directional communications into the contemporary electricity grid, offers excellent opportunities for energy efficiency improvements and better integration of distributed generation, coexisting with centralized generation units within an active network. A large share of the installed capacity for recent renewable energy sources already...

 15 p hcmute 28/08/2020 499 1 Download

Từ khóa: Island networks (Electricity), Island networks (Electricity), Renewable energy sources, Smart power grids, Sustainable development.

Nowadays, in the process of building our country to become a growing industry country, making life more comfortable and modern, this requires higher automation applications in everyday life and production. On the other hand, with the rapid development of the industrialization process, almost factories apply modern technologies into their systems to help optimize monitoring and operation. Therefore, automation technology is becoming a...

 22 p hcmute 17/08/2020 437 2 Download

Từ khóa: Industrial network communication application into controlling and monitoring boiler system in thermal power plant, PHAN VAN LAM, HUYNH NHAT THANG

Bài báo cáo đề xuất phương pháp sử dụng mạng neuron học sâu ( DLNN ) để phát hiện và phân loại các dạng sự cố trên hệ thống điện. Phương pháp chẩn đoán lỗi dựa trên bộ mã hóa tự động xếp chồng ( SAE ) được đề xuất trong bài báo cáo này. Các mô phỏng và so sánh được bổ sung để xác nhận tính ưu việt của mạng chẩn đoán lỗi hệ...

 8 p hcmute 07/06/2019 587 3 Download

Từ khóa: Deep learning neuron network, stack auto-encoders, diagnosing fault, position, power system

This paper proposed the method load shedding on the basis of the combination of Generalized Regression Neural Network, power sensitivity theory and Phase Electrical Distance theories to recover the frequency to allowable limit in the event loss a generator occurring in the electric system. The phase electrical distance calculation intended to calculate the distance between the generator outage and the load to align the load buses in ascending....

 7 p hcmute 09/05/2019 349 1 Download

Từ khóa: LOAD SHEDDING APPLY NEURAL NETWORK AND POWER SENSITIVITY THEORY L.T.NGHĨA, T.T. GIANG, Q.H. ANH, P.T.T.BÌNH, BÙI NGUYỄN XUÂN VŨ

In this paper, the authors investigate relay selection for decode-and-forward (DF) Full-duplex (FD) based wireless energy harvesting relaying networks. Considering time-switching based relaying (TSR) protocol, this investigation is concerned with the performance of maximum harvested energy relay selection (MHE-RS) scheme. In particular, this work analyzes the system performance in terms of outage probability (OP) and throughput over Rayleigh...

 8 p hcmute 09/05/2019 440 1 Download

Từ khóa: INVESTIGATION ON HARVESTED ENERGY-ASSISTED RELAY SELECTION MODES IN WIRELESS POWERED FULL-DUPLEX RELAYING NETWORKS PHẠM THỊ MỸ LINH, NGUYỄN THÁI ANH, ĐỖ ĐÌNH THUẬN, TRẦN THU HA

Bài báo giới thiệu phương pháp nhận dạng và phân loại các hiện tượng quá độ trên hệ thống điện bằng cách sử dụng mạng nơron kết hợp với kỹ thuật phân tích wavelet đa phân giải. Các tín hiệu quá độ được mô phỏng bằng phần mềm Matlab, gồm các hiện tượng: sụt điện áp, tăng điện áp, họa tần, chập chờn điện áp, gián đọan điện áp,...

 12 p hcmute 01/12/2017 440 1 Download

Từ khóa: Identification, Classification, Power Quality, Disturbances, Power Network, Matlab/Simulink

Brain Computer Interface (BCI) has attracted many researchers in recent years. One of non-invasive tech- niques for the BCI issue is Electroencephalography (EEG). In this paper, we proposed an average partial power spectrum density method to classify mental tasks. The relevant mental tasks are: left hand movement, right hand movement and rest. The proposed method is the combination of a 2 Hz bandpass filter and an...

 10 p hcmute 16/06/2017 452 1 Download

Từ khóa: EEG Technique; Bandpass Filter; Average Partial Power Spectrum Density; Neuron Network Model

In this paper, we proposed an average partial power spectrum density method to classify mental tasks. The relevant mental tasks are: left hand movement, right hand movement and rest. The proposed method is the combination of a 2 Hz bandpass filter and an Average Partial Power Spectrum Density (APPSD) algorithm in the specific frequency ranges to find out features of imagery. From the obtained features of movements, an Artificial Neuron Network...

 10 p hcmute 16/11/2016 413 1 Download

Từ khóa: EEG Technique; Bandpass Filter; Average Partial Power Spectrum Density; Neuron Network Model