Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

Pattern recognition

Plasma Chemistry: References

Gravitational Search Algorithm (GSA) is an optimization method inspired by the theory of Newtonian gravity in physics. Till now, many variants of GSA have been introduced, most of them are motivated by gravity-related theories such as relativity and astronomy. On the one hand, to solve different kinds of optimization problems, modified versions of GSA have been presented such as continuous (real), binary, discrete, multimodal, constraint, single-objective, and multi-objective GSA. On the other hand, to tackle the difficulties in real-world problems, the efficiency of GSA has been improved using specialized operators, hybridization, local search, and designing the self-adaptive algorithms. Researchers have utilized GSA to solve various engineering optimization problems in diverse fields of applications ranging from electrical engineering to bioinformatics. Here, we discussed a comprehensive investigation of GSA and a brief review of GSA developments in solving different engineering problems to build up a global picture and to open the mind to explore possible applications. We also made a number of suggestions that can be undertaken to help move the area forward.

A comprehensive survey on gravitational search algorithm

http://ieeexplore.ieee.org/iel5/57/17476/00806380.pdf

Outdoor insulators

In this paper, the K nearest neighbor (KNN) and Naive Bayes classifiers are used to diagnose the power transformer oil insulation utilizing dissolved gas analysis (DGA). The diagnosis accuracy remains an important factor. Indeed, to obtain the maximum accuracy rate, different vectors are used as inputs for both classifiers. These vectors consist in DGA in ppm, DGA in percentage, Duval triangle reports, Rogers ratios and Dornrenberg ratios. Otherwise, PD, DI, D2, TI&T2 and T3 are the classes of faults adopted as output vector of the classifiers. A related database and the IEC TC 10 one have been used to verify the accuracy rate of both classifiers. Using Duval triangle reports, the KNN algorithm provides the highest accuracy rate than the Naive Bayes algorithm one.

Diagnosis of Power Transformer Oil Using KNN and Nave Bayes Classifiers

In this paper, hybrid particle swarm optimization and gravitational search algorithm is proposed to find the optimal solution for the optimal power flow problem including three wind farms connected to the isolated Adrar Algerian power system. In order to get the cost model, the economic problem is converted into a single objective function considering the fuel cost and cost of wind generation by the calculation of the overestimation and underestimation cost of available wind energy based on the Weibull distribution of wind speed. In reason of the wind speed intermittent and unpredictability, two seasonal demand scenarios correspond to the summer and winter peak load of the year 2015 have been considered. The effects of the incorporation of wind power generation on isolated Adrar power system operation and planning are investigated. The simulation results obtained from the proposed algorithm shows that this algorithm is capable to give higher quality solutions to solve optimal power flow dispatching problem with a fast convergence.

https://cder.dz/vlib/revue/pdf/v016_n4_texte_10.pdf

Optimal power flow solution including wind power generation into isolated Adrar power system using PSOGSA

This paper presents a new method for the fault detection and localization in a single-phase cascaded H-bridge multilevel inverter (CHBMI). Open-fault case of one of the controllable components is considered. Simulations show the possibility to visually distinguish the fault features compared with the normal operation. Recurrence Plot (RP) technique and Recurrence Quantification (RQ) analysis are used for data extractions corresponding to defects, giving information and a respectable correlation between the inverter output voltage waveforms and the given defects. Simulation results confirm the effectiveness of the proposed fault diagnostic approach, which might be used to extract a general fault diagnosis method to detect and locate the fault in higher level CHBMI.

Fault Diagnosis Method for Cascaded H-bridge Multilevel Inverters under Switching Device Failure

This paper presents a new equation for the linear resistance of discharge channel during the flashover of polluted insulators basing on an electro-energetic balance and by using some mathematical formulations. This equation shows the dependency on the applied voltage, the temperature, thermal conductivity and length of the discharge channel, the resistance and capacitance of pollution layer; the radius of discharge channel is assumed to be variable. It is valid during the whole discharge process (i.e.; during the different steps of the discharge development) in AC and DC voltages and in both static and dynamic regimes. The proposed equation has the particularity to be an analytical equation, in opposition with the main equations used till today to determine the linear resistance of discharge propagating over polluted insulators up to flashover and which are empirical equations.

A New Analytical Equation for the Linear Resistance of Discharge During Flashover of Polluted Insulators Under AC or DC Voltages

This investigation is devoted to study the transient behavior of long horizontal grounding conductor submitted to high impulse current using Transmission Line Method (TLM) incorporating soil ionization and/or mutual coupling phenomena. As results, soil ionization generates a very slight decrease in potential values. This diminution is accentuated when considering mutual coupling phenomenon. A good accordance has been obtained when comparing our results to those reported by some researchers in the field.

Madjid Teguar

Papers

Diagnosis of Power Transformer Oil Using KNN and Nave Bayes Classifiers

Optimal power flow solution including wind power generation into isolated Adrar power system using PSOGSA

Fault Diagnosis Method for Cascaded H-bridge Multilevel Inverters under Switching Device Failure

A New Analytical Equation for the Linear Resistance of Discharge During Flashover of Polluted Insulators Under AC or DC Voltages

Incorporation of soil ionization and mutual coupling in transient study of horizontal grounding electrode using TLM