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Algerian Journal of Signals and Systems最新文献

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Remaining useful life prediction of cutting tools using wavelet packet transform and extreme learning machine 基于小波包变换和极限学习机的刀具剩余使用寿命预测
Algerian Journal of Signals and Systems Pub Date : 2018-12-15 DOI: 10.51485/ajss.v3i4.72
S. Laddada, T. Benkedjouh, M. O. Si- Chaib, R. Drai
{"title":"Remaining useful life prediction of cutting tools using wavelet packet transform and extreme learning machine","authors":"S. Laddada, T. Benkedjouh, M. O. Si- Chaib, R. Drai","doi":"10.51485/ajss.v3i4.72","DOIUrl":"https://doi.org/10.51485/ajss.v3i4.72","url":null,"abstract":"Online tool wear prediction is a determining factor to the success of smart manufacturing operations. The implementation of sensors based Prognostic and Health Management (PHM) system plays an important role in estimating Remaining Useful Life (RUL) of cutting tools and optimizing the usage of Computer Numerically Controlled (CNC) machines. The present paper deals with health assessment and RUL estimation of the cutting tool machines based on Wavelet Packet Transform (WPT) and Extreme Learning Machine (ELM). This approach is done in two phases: a learning (offline) phase and a testing (online) phase. During the first phase, the WPT is used to extract the relevant features of raw data computed in the form of nodes energy. The extracted features are then fed to the learning algorithm ELM in order to build an offline model. In the online phase, the constructed model is exploited for assessing and predicting the RUL of cutting tool. The main idea is that ELM involves nonlinear regression in a high dimensional feature space for mapping the input data via a nonlinear function to build a prognostics model. The method was applied to real world data gathered during several cuts of a milling CNC tool. The performance of the proposed method is evaluated through the accuracy metric. Results showed the significance performances achieved by the WPT and ELM for early detection and accurate prediction of the monitored cutting tools.","PeriodicalId":153848,"journal":{"name":"Algerian Journal of Signals and Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130584644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Diagnosis of the Induction Machine Using Advanced Signal Processing Methods 用先进的信号处理方法诊断感应电机
Algerian Journal of Signals and Systems Pub Date : 2018-09-15 DOI: 10.51485/ajss.v3i3.70
A. Chahmi
{"title":"Diagnosis of the Induction Machine Using Advanced Signal Processing Methods","authors":"A. Chahmi","doi":"10.51485/ajss.v3i3.70","DOIUrl":"https://doi.org/10.51485/ajss.v3i3.70","url":null,"abstract":"This work is a part of the thematic of monitoring and fault diagnosis of the squirrel cage three-phase induction machine. The choice of this type of machine is justified by the growing success it has exhibited, mainly, in the electric drives with variable speed. Signal based detection methods are presented is validated in simulation. The proposed diagnosis approach requires only little experimental data, and more importantly it provides efficient simulation tools that allow characterizing faulty behavior.In this study, the proposed approach considers the value of rotor resistance as fixed for condition monitoring. This value in the diagnostic tools which one uses is not fixed contrary to the classical approaches of control of machine.","PeriodicalId":153848,"journal":{"name":"Algerian Journal of Signals and Systems","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124430353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Nonlinear Backstepping Control of Permanent Magnet Synchronous Motor with Rotor Speed and Position Estimation 基于转子转速和位置估计的永磁同步电机非线性反步控制
Algerian Journal of Signals and Systems Pub Date : 2018-09-15 DOI: 10.51485/ajss.v3i3.69
Abderrahmen Kirad, S. Grouni, Omar Mechali
{"title":"Nonlinear Backstepping Control of Permanent Magnet Synchronous Motor with Rotor Speed and Position Estimation","authors":"Abderrahmen Kirad, S. Grouni, Omar Mechali","doi":"10.51485/ajss.v3i3.69","DOIUrl":"https://doi.org/10.51485/ajss.v3i3.69","url":null,"abstract":"This paper presents a nonlinear backstepping control strategy used to ensure good dynamic behavior, high performance and the stability of the permanent magnet synchronous motor (PMSM). However, this control requires the precise knowledge of certain variables (speed, torque and position) that are difficult to access or sensors require additional mounting space, reduce reliability, increase the cost of the engine, and make maintenance difficult. Thus, an Extended Kalman Filter (EKF) approach is proposed for the estimation of speed and rotor position in the PMSM. The interesting simulation results obtained which are subjected to the load perturbation show very well the efficiency and the good performance of the nonlinear feedback control proposed and simulated in Matlab-Simulink.","PeriodicalId":153848,"journal":{"name":"Algerian Journal of Signals and Systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127056150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Three-phase Three-level Inverter Grid-tied PV System with Fuzzy Logic Control based MPPT 基于模糊逻辑控制的MPPT三相三电平逆变并网光伏系统
Algerian Journal of Signals and Systems Pub Date : 2018-09-15 DOI: 10.51485/ajss.v3i3.65
Yacine Ayachi Amor, Frid Hamoudi, A. Kheldoun
{"title":"Three-phase Three-level Inverter Grid-tied PV System with Fuzzy Logic Control based MPPT","authors":"Yacine Ayachi Amor, Frid Hamoudi, A. Kheldoun","doi":"10.51485/ajss.v3i3.65","DOIUrl":"https://doi.org/10.51485/ajss.v3i3.65","url":null,"abstract":"This paper presents a three phase single stage grid connected photovoltaic PV system. Maximum power transfer from the solar array to grid is ensured by using fuzzy logic (FL) based maximum power point tracking (MPPT) controller. The proposed MPPT technique provides fast and high performances under variable climate conditions as well as sudden variation of irradiance level. Change of measured photovoltaic power and its rate of change are the input variables of the proposed fuzzy logic controller while the change in reference current is defined as the output variable. In order to meet the power quality required by the international standards, a Space Vector Modulation (SVM) controlled three-level T-type inverter and a series LCL filter are used. To show the effectiveness of the proposed grid-connected system, Matlab/Simulink software is used to carry out the simulation part. Obtained results show the role of each component, particularly the response of the maximum power tracking, the quality of the injected power, the unity power factor operation and the system’s efficiency.","PeriodicalId":153848,"journal":{"name":"Algerian Journal of Signals and Systems","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116602708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Broken Rotor Bars Fault Detection Based on Envelope Analysis Spectrum and Neural Network in Induction Motors 基于包络分析谱和神经网络的异步电动机断条故障检测
Algerian Journal of Signals and Systems Pub Date : 2018-09-15 DOI: 10.51485/ajss.v3i3.66
S. Bensaoucha, S. Bessedik, A. Ameur, A. Seghiour
{"title":"Broken Rotor Bars Fault Detection Based on Envelope Analysis Spectrum and Neural Network in Induction Motors","authors":"S. Bensaoucha, S. Bessedik, A. Ameur, A. Seghiour","doi":"10.51485/ajss.v3i3.66","DOIUrl":"https://doi.org/10.51485/ajss.v3i3.66","url":null,"abstract":"In this paper, a study has presented the performance of a neural networks technique to detect the broken rotor bars (BRBs) fault in induction motors (IMs). In this context, the fast Fourier transform (FFT) applied on Hilbert modulus obtained via the stator current signal has been used as a diagnostic signal to replace the FFT classic, the characteristics frequency are selected from the Hilbert modulus spectrum, in addition, the different load conditions are used as three inputs data for the neural networks. The efficiency of the proposed method is verified by simulation in MATLAB environment.","PeriodicalId":153848,"journal":{"name":"Algerian Journal of Signals and Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129071634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Combining MUSIC Spatial Sampling and Bootstrap to Estimate Closed Space DOA for Few Samples 结合MUSIC空间采样和Bootstrap估计小样本封闭空间DOA
Algerian Journal of Signals and Systems Pub Date : 2018-09-15 DOI: 10.51485/ajss.v3i3.68
Sidi Mohammed Hadj Irid, S. Kameche
{"title":"Combining MUSIC Spatial Sampling and Bootstrap to Estimate Closed Space DOA for Few Samples","authors":"Sidi Mohammed Hadj Irid, S. Kameche","doi":"10.51485/ajss.v3i3.68","DOIUrl":"https://doi.org/10.51485/ajss.v3i3.68","url":null,"abstract":"DOA estimation in array processing uses MUSIC (Multiple Signal Classification) algorithm, mainly. It’s the most investigated technique and is very attractive because of its simplicity. However, it meets drawbacks and fails when only very few samples are available and the sources are very close or highly correlated. In these conditions, the problem is more intricate and the detection of targets becomes arduous. To overcome these problems, a new algorithm is developed in this paper. We combine bootstrap technique to increase sample size, spatial sampling and MUSIC method to improve resolution. Through different simulations, the performance and the effectiveness of the proposed approach, referred as spatial Sampling and Bootstrapped technique ‘’SSBoot’’, are demonstrated.","PeriodicalId":153848,"journal":{"name":"Algerian Journal of Signals and Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128259314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Emulation of metamaterial waveguides 超材料波导的仿真
Algerian Journal of Signals and Systems Pub Date : 2018-09-15 DOI: 10.51485/ajss.v3i3.67
B. Khedidja, L. Abdelhadi, Chaker Saleh, Bouzouad Mouloud Bouzouad Mouloud
{"title":"Emulation of metamaterial waveguides","authors":"B. Khedidja, L. Abdelhadi, Chaker Saleh, Bouzouad Mouloud Bouzouad Mouloud","doi":"10.51485/ajss.v3i3.67","DOIUrl":"https://doi.org/10.51485/ajss.v3i3.67","url":null,"abstract":"In this work, we are interested by emulating metamaterial microwave waveguides which behave like conventional metallic ones. We use metamaterial layers based on two types of unit cells. The first one is a connected cross type unit cell which leads to a metamaterial with a near zero refraction index (n1≈ 0). The second one is a disconnected cross type unit cell which leads to a metamaterial with a refraction index greater than unity (n2 >1). With these two type of metamaterials we can define, in the metamaterial layer, different sections each one can have a refraction index equal to n1 or n2. Using these metamaterial layers we can build a metamaterial waveguide. This latter is obtained by stacking a number of layers. The waveguide is obtained by selecting an inner section with a refraction index n2 and an outer section with a refraction index n1 close to zero which plays a similar role as a metallic reflector to form the waveguide.","PeriodicalId":153848,"journal":{"name":"Algerian Journal of Signals and Systems","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132922514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sensorless Speed and Reactive Power Control of a Double-Feed Induction Generator using Adaptive Observer in Wind Turbine Power Plant 基于自适应观测器的风力发电厂双馈感应发电机无传感器转速和无功控制
Algerian Journal of Signals and Systems Pub Date : 2018-06-15 DOI: 10.51485/ajss.v3i2.59
N. Boumalha, D. Kouchih, M. Boucherit
{"title":"Sensorless Speed and Reactive Power Control of a Double-Feed Induction Generator using Adaptive Observer in Wind Turbine Power Plant","authors":"N. Boumalha, D. Kouchih, M. Boucherit","doi":"10.51485/ajss.v3i2.59","DOIUrl":"https://doi.org/10.51485/ajss.v3i2.59","url":null,"abstract":"This work presents a new method for the synthesis of a sensorless speed and reactive power control applied to a wind turbine system based to a Doubly Fed Induction Generator (DFIG). The proposed method based on adaptive observers: The rotor speed is adapted using adaptation mechanisms. Stability analysis based on Lyapunov theory is used to guarantee the stability of the observer. To verify the consistency of the proposed approach. We will be interested in the study of vector control based on the synthesis of classical controllers. Simulation results provided with the MATLAB/SIMULINK environment show the consistency of the proposed approaches.","PeriodicalId":153848,"journal":{"name":"Algerian Journal of Signals and Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129607064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Impact of NBTI Stress on VDMOSFET Regions NBTI应力对VDMOSFET区域的影响
Algerian Journal of Signals and Systems Pub Date : 2018-06-15 DOI: 10.51485/ajss.v3i2.60
S. M. Merah, Bouchra Nadji
{"title":"Impact of NBTI Stress on VDMOSFET Regions","authors":"S. M. Merah, Bouchra Nadji","doi":"10.51485/ajss.v3i2.60","DOIUrl":"https://doi.org/10.51485/ajss.v3i2.60","url":null,"abstract":"In this paper, we investigate the impact of negative bias temperature instability (NBTI) degradation on both channel and drain regions, of commercial power double diffused MOS transistor (VDMOSFET), using capacitance-voltage method (C-V). We report that the degradation is important at channel (drain) region in p-channel VDMOSFET (n-channel VDMOSFET). That means that the phosphorus doped region (n-type) is more sensitive to NBTI stress.","PeriodicalId":153848,"journal":{"name":"Algerian Journal of Signals and Systems","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121514501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Analysing Primary Signal Sensing Test in Cognitive Radio Networks Using an Alpha-Beta Filter and a Neyman-Pearson Detector 利用Alpha-Beta滤波器和Neyman-Pearson检测器分析认知无线电网络中的主信号感知测试
Algerian Journal of Signals and Systems Pub Date : 2018-06-15 DOI: 10.51485/ajss.v3i2.61
H. E. Adardour, S. Kameche
{"title":"Analysing Primary Signal Sensing Test in Cognitive Radio Networks Using an Alpha-Beta Filter and a Neyman-Pearson Detector","authors":"H. E. Adardour, S. Kameche","doi":"10.51485/ajss.v3i2.61","DOIUrl":"https://doi.org/10.51485/ajss.v3i2.61","url":null,"abstract":"The signal strength sensing in the context of cognitive radio networks (CRNs), is very important to predict the primary signal of base station (PBS), particularly when the secondary user (SU) is in a congested environment, and also when is in motion towards the end of coverage of PBS. However, this article presents an analysis on the prediction of primary signal strength in CRNs using an Alpha-Beta Filter (ABF) and a Neyman-Pearson Detector (NPD). The challenge of this contribution is based on a realistic sensing of primary signal strength and to do that, we have assumed that the reporting channels between the SU and the PBS are composited with the shadowing and multipath fading (SMF), and the receiver noise has also added. In this regard, the obtained results were discussed through: the signal-to-noise ratio (SNR) uncertainty, the detection probability (PD) and the False Alarm Probability (PFA), where the average relative error of prediction for the PD will be equal to10-5.","PeriodicalId":153848,"journal":{"name":"Algerian Journal of Signals and Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116022828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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