ABDERRZAK Laib

AZAZ Ayat Errahmen , BENDJEDDOU Omayma

Détection et localisation des défauts non francs dans les réseaux à base de câbles coaxiaux par la réflectométrie et la corrélation soustractive

GUIMEUR Loubna , HADJ BRAHIM Nawel

Détection et localisation des défauts non francs dans les réseaux filaires embarqués par la réflectométrie et les ondelettes

GASMI Sohaib

Détection et localisation des défauts dans les réseaux électriques filaires par la réflectométrie et les réseaux de neurones

CHENNI Ahmed Badis , CHARIF Abderrazak

Analyse et synthèse d’un signal de parole par la Matrice de Pencil en vue d’une discrimination de locuteurs.

In recent years, the aviation industry has witnessed a substantial integration of power electronics technology within Aircraft Microgrids (AMs). Consequently, the extension of electrical wiring networks has expanded, resulting in heightened intricacies within these systems. Therefore, the identification and location of faults in wiring networks have become an important topic in AMs to guarantee the safety of the electrical power systems. Time Domain Reflectometry (TDR) is widely used to locate and recognize electric wire faults. However, soft fault location on complex electrical networks using TDR is perplexing due to its weak effect on the reflected signal. Moreover, the existence of noise in the environment can worsen the TDR's performance. In this paper, a new approach based on TDR, along with the Subtractive Correlation Method (SCM) and Neural Network (NN), is proposed. The TDR response of the complex wiring network is determined using a newly proposed model based on the Finite Difference Time Domain (FDTD) method. The validity of the proposed model is established through experimentation including two distinct cable types also the introduced model notably enhances computational efficiency, a fact substantiated by our experimental findings and an extensive benchmarking against recent publications. These evaluations collectively underscore a significant reduction in computational time. Then, the reflected signal undergoes processing through SCM, a technique employed to amplify the subtle influence of the soft fault in two scenarios: one accompanied by noise and the other noise-free. Furthermore, NN is used to handle the inverse problem of localizing and characterizing the soft faults by their exact resistance values. Even within noisy environments, the proposed methodology excels in accurately locating and characterizing soft faults with a high degree of precision, all in real-time diagnostic scenarios

Citation

Abderrzak Laib , , (2023-11-07), Enhanced artificial intelligence technique for soft fault localization and identification in complex aircraft microgrids, Engineering applications of artificial intelligence, Vol:127, Issue:, pages:B, Sciencedirect

Authorship Attribution is a research area concerned with the automatic classification of text documents based on their authors. The main objective of this investigation area is to find out who is the author of a given text. This task becomes very tough as far as old text documents are concerned. In this paper, we attempted to broach the Authorship Attribution problem as it applies to old text documents. For this purpose, several experiments are conducted and their results are commented. In order to validate the performances of our system, we constructed a special dataset that we called ''A10P '' (10 Ancient Arabic Philosophers), by quoting texts from the works of 10 ancient Arabic philosophers, where the topic of the different texts is the same. Moreover, the genre of the authors is also the same.

Citation

Abderrzak Laib , ,(2022), Performances Evaluation of Automatic Authorship Attribution on Ancient Arabic Documents,International Conference on advanced Technology in Electronic and Electrical Engineering (ICATEEE2022),Msila, Algeria

Authorship Attribution is a research area concerned with the automatic classification of text documents based on their authors. The main objective of this investigation area is to find out who is the author of a given text. This task becomes very tough as far as old text documents are concerned. In this paper, we attempted to broach the Authorship Attribution problem as it applies to old text documents. For this purpose, several experiments are conducted and their results are commented. In order to validate the performances of our system, we constructed a special dataset that we called ''A10P '' (10 Ancient Arabic Philosophers), by quoting texts from the works of 10 ancient Arabic philosophers, where the topic of the different texts is the same. Moreover, the genre of the authors is also the same.

Citation

Salah KHENNOUF , Abderrzak Laib , Halim Sayoud, ,(2022), Performances Evaluation of Automatic Authorship Attribution on Ancient Arabic Documents,International Conference of advanced Technology in Electronic and Electrical Engineering,University of Msila

Modern maritime microgrid systems are witnessing a revolutionary advancement by integrating more renewable energy sources and energy storage systems. The integration of these sophisticated systems is achieved, however, through the power electronics converters that cause severe harmonic contamination. This problem becomes more serious when some of these harmonics that are non-integer multiples of the fundamental (inter-harmonics) exist concurrently with both system frequency drifts and large-power transients, which is a commune issue in maritime microgrid systems such as shipboard microgrids. Hence, the performance of the widely signal processing algorithms applied in the measurement and communication systems such as the smart meters and power quality analyzers tends to worsen. To address this problem this paper proposes an effective method based on the eigenvalue solution to estimate the harmonics and inter-harmonics of modern maritime microgrid systems effectively. This method, which is a system frequency independent technique can work effectively even under large frequency drifts with short window width. The proposed method is evaluated under MATLAB software, and then the experimental validation is carried out via analyzing the electrical power system current of a bulk carrier ship.

Citation

Abderrzak Laib , , (2021), A Frequency Independent Technique to Estimate Harmonics and Interharmonics in Shipboard Microgrids, IEEE Transactions on Smart Grid, Vol:13, Issue:2, pages:888-899, IEEE

Due to the rapid adoption of power electronics technology in shipboard microgrids (SMGs) in recent years, harmonic contamination has become now a crucial topic for these power systems. In order to sustain the safety of the electrical power systems, standards for power quality have imposed strict limits on the harmonic distortion allowed. In these standards, the application of the fast Fourier transform (FFT) with a window size of 10/12 cycles is often recommended for the harmonic evaluation. This method is not practical for SMGs due to large variations in load and frequency in a short duration. To address this issue, this article proposes a signal periodicity-independent algorithm to estimate the current harmonic distortion of SMGs by solving an eigenvalue problem with a short transient response. The proposed algorithm, which is based on a resolution-enhanced sliding matrix pencil method (SMPM), is distinguished by its frequency independency feature, and as a result of this, feature system frequency variations and the existence of interharmonics do not affect its accuracy. The evaluation of the proposed method is carried out under the MATLAB software and is experimentally verified via analyzing the electrical power system current of a container ship

Citation

Abderrzak Laib , , (2020), A resolution-enhanced sliding matrix pencil method for evaluation of harmonics distortion in shipboard microgrids, IEEE Transactions on Transportation Electrification, Vol:6, Issue:3, pages:1290-1300, IEEE

To suppress the most dominant harmonic currents and compensate for the power factor (PF) of electric generators (EGs), a technique based on passive power filters (PPFs) is presented here. The key feature of the proposed method is the implementation of only a set of PPFs for compensating the power-quality issues of two EGs. This characteristic makes the suggested approach highly cost-effective and considerably reduces the required space for placing PPFs. The performance of the proposed technique is demonstrated using simulation studies under MATLAB/Simulink environment and validated experimentally

Citation

Abderrzak Laib , , (2019), Effective and low‐cost passive compensator system to improve the power quality of two electric generators, IET Power Electronics, Vol:12, Issue:7, pages:1833-1840, The Institution of Engineering and Technology

the main purpose of this work is to implement a new and accurate approach based on Time Domain Reflectometry (TDR) combined with Adaptive Neuro-Fuzzy Inference System (ANFIS) to solve the problem of soft faults detection and localization on complex wiring electric network. Firstly, the response of the transmission line is given by applying the Finite Difference Time Domain method (FDTD) on the transmission line equations. Then, the ANFIS method is used to solve the inverse problem which permits to detect and localize the soft fault. Finally, very acceptable results are obtained and many problems are solved at the same time as: defining the exact position and exact resistance values of the fault, defining the state of electrical network in the real time

Citation

Abderrzak Laib , ,(2017), Soft fault identification in electrical network using time domaine reflectometry and adaptive neuro-fuzzy inference systeme,2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B),Boumerdes, Algeria

he aim the present research is to develop a new approach for thelocalisation of faults in wiring networks based on adaptive neurofuzzy inference system (ANFIS) and time domain reflectometry(TDR). In this approach a forward model has been developed andvalidated with measurements in order to generate a TDR response ofany wiring network then the inverse problem is solved using ANFIS.The developed approach has been tested using a complex configurationthat is YY-shaped network. The results show the efficiency andaccuracy of the proposed approach.

Citation

Abderrzak Laib , , (2017), laib abderrzak [PDF] à partir de wiley.com Full View Localisation of faults in wiring networks using time domain reflectometry and adaptive neuro­fuzzy inference system, Electronics Letters, Vol:53, Issue:9, pages:600–602, The Institution of Engineering and Technology

The modern power electric network is subject to insure more and more complicated functions; the main functions are transfer of energy and information. The faults in wiring cables constitute one of worst problems of power electric network. In practice, the combination of Time Domain Reflectometry (TDR) and wavelet transform is generally used to detect and localize the faults in electric network. Classically, the identification process based on the decomposition of fault signal on details and approximations using Discrete Wavelet Transform (DWT) build some errors both at fault position and in fault nature. For solving this problem a new and improved method which combines the time domain reflectometry, wavelet transform and neural network is proposed in this paper. First, the response of the transmission line is obtained using the Finite Difference Time Domain method (FDTD) applied to transmission line equations, then, the obtained results are analyzed with DWT. Finally, Neural Network method (NN) is applied to solve the inverse problem for reducing the error of fault location affecting the branches of electric network.

Citation

Abderrzak Laib , ,(2017), A new hybrid approach using time-domain reflectometry combined with wavelet and neural network for fault identification in wiring network,2016 8th International Conference on Modelling, Identification and Control (ICMIC)),Algiers, Algeria