[HTML][HTML] Rapid analysis of meat floss origin using a supervised machine learning-based electronic nose towards food authentication
Authentication of meat floss origin has been highly critical for its consumers due to existing
potential risks of having allergic diseases or religion perspective related to pork-containing …
potential risks of having allergic diseases or religion perspective related to pork-containing …
[PDF][PDF] Voltage sag compensation using direct converter based DVR by modulating the error signal
SA Rahman, E Dagnew - Indonesian Journal of Electrical …, 2020 - pdfs.semanticscholar.org
The aim of this paper is to present a modulation technique to achieve highest voltage sag
compensation using direct converter based dynamic voltage restorer (DVR). The DVR …
compensation using direct converter based dynamic voltage restorer (DVR). The DVR …
[PDF][PDF] Maximum voltage sag compensation using direct converter by modulating the carrier signal
SA Rahman, G Teshome - International Journal of Electrical and …, 2020 - core.ac.uk
The aim of this paper is to achieve maximum voltage sag compensation of 52% using direct
converter based DVR. The DVR topology has only two switches. The DVR is designed to …
converter based DVR. The DVR topology has only two switches. The DVR is designed to …
Implementation of Levenberg-Marquardt based multilayer perceptron (MLP) for detection and classification of power quality disturbances
IN Anwar, K Daud, AA Abd Samat… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
Power Quality Disturbances (PQD) has result in numerous failures and damage to electrical
equipment. This paper utilized MATLAB Application to propose ways in detecting and …
equipment. This paper utilized MATLAB Application to propose ways in detecting and …
[PDF][PDF] Detection and identification of voltage variation events based on artificial neural network
DO Anggriawan, RH Mubarok, E Prasetyono… - Int. Rev. Autom …, 2020 - researchgate.net
Identifying voltage variations has an important role to mitigate degradation of power quality
disturbances due to their negative impact on the equipment. Therefore, fast and accurate …
disturbances due to their negative impact on the equipment. Therefore, fast and accurate …
Feed Forward Neural Network Approach for Voltage Transients Identification and Classification
PQ problem is one of the important factors that need to be taken care in power system. One
of the power quality problems that usually occur in power system is voltage transient. It can …
of the power quality problems that usually occur in power system is voltage transient. It can …
Evaluating windowing based continuous ST with deep learning for detection and classifying PQDs
K Daud, MBM Mansor, ZHC Soh… - IOP Conference …, 2021 - iopscience.iop.org
This paper discusses the performance of evaluating a windowing based continuous S-
Transform (ST) with deep learning classifier for the detection and classifying of interrupt and …
Transform (ST) with deep learning classifier for the detection and classifying of interrupt and …