Reliability modeling and analysis of a micro-grid with significant clean energy penetration
X Shi, AM Bazzi - 2015 9th International Conference on Power …, 2015 - ieeexplore.ieee.org
This paper reviews three main methods in reliability analysis for power systems and applies
them to a micro-grid with significant clean energy penetration. The approaches used are …
them to a micro-grid with significant clean energy penetration. The approaches used are …
A fault diagnosis method of modular analog circuit based on SVDD and D–S evidence theory
P Sun, Z Yang, Y Jiang, S Jia, X Peng - Sensors, 2021 - mdpi.com
In the actual fault diagnosis process of an analog circuit, there is often a problem due to the
lack of fault samples, leading to the low-accuracy of diagnostic models. Therefore, using …
lack of fault samples, leading to the low-accuracy of diagnostic models. Therefore, using …
Application of support vector machines to the induction motor parameters identification
P Bilski - Measurement, 2014 - Elsevier
The paper presents the application of the Support Vector Machines (SVM) to identify the
parameters of the induction machine. The problem is identical to the regression task, solved …
parameters of the induction machine. The problem is identical to the regression task, solved …
PSO-optimized modular neural network trained by OWO-HWO algorithm for fault location in analog circuits
M Sheikhan, AA Sha'bani - Neural Computing and Applications, 2013 - Springer
Fault diagnosis of analog circuits is a key problem in the theory of circuit networks and has
been investigated by many researchers in recent decades. In this paper, an active filter …
been investigated by many researchers in recent decades. In this paper, an active filter …
An improved KFCM clustering method used for multiple fault diagnosis of analog circuits
M Khanlari, M Ehsanian - Circuits, Systems, and Signal Processing, 2017 - Springer
This study presents a new method for multiple fault diagnosis in moderate-sized analog
circuits. Based on this method, a classifier is independently designed for each of the circuit …
circuits. Based on this method, a classifier is independently designed for each of the circuit …
Predicting foaming slag quality in electric arc furnace using power quality indices and fuzzy method
B Dehkordi, M Moallem… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
In this paper, a new method based on adaptive neuro fuzzy inference system (ANFIS) and
fuzzy logic is presented to determine the slag quality in electric arc furnace using power …
fuzzy logic is presented to determine the slag quality in electric arc furnace using power …
A Testability measure for DC-excited periodically switched networks with applications to DC-DC converters
G Fontana, A Luchetta, S Manetti… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Testability analysis is a fundamental prerequisite to any fault location or parameter
identification technique (FLPIT) for analog circuits. However, differently from the linear time …
identification technique (FLPIT) for analog circuits. However, differently from the linear time …
[PDF][PDF] Fault diagnosis in analog electronic circuits-the SVM approach
D Grzechca, J Rutkowski - Metrol. Meas. Syst, 2009 - metrology.pg.gda.pl
In this paper, the application of the SVM (Support Vector Machine) algorithm has been used
for diagnosis and tests of analog electronic circuits. The diagnosis procedure belongs to …
for diagnosis and tests of analog electronic circuits. The diagnosis procedure belongs to …
Construction of an expert system based on fuzzy logic for diagnosis of analog electronic circuits
DE Grzechca - International Journal of Electronics and …, 2015 - infona.pl
The paper presents construction of the fuzzy logic system to analog circuits parametric fault
diagnosis. The classical dictionary construction is replaced by fuzzy rule system. The first …
diagnosis. The classical dictionary construction is replaced by fuzzy rule system. The first …