scholarly journals Simulation model of 3-phase PWM rectifier by using MATLAB/Simulink

2021 ◽  
Vol 11 (5) ◽  
pp. 3736
Author(s):  
Salam Waley Shneen ◽  
Ghada Adel Aziz
Keyword(s):  
Industrial Applications ◽  
Variable Load ◽  
Pwm Rectifier ◽  
Electronic Transformer ◽  
Silicon Control Rectifier ◽  
Full Wave ◽  
Half Wave ◽  
And Performance ◽  
Electric Power Generation Systems ◽  
Power Generation Systems

Many industrial applications require the use of power electronic devices, which in turn help in overcoming the problems of variable load and fluctuations that occur at the end of feeding. The current study emphasizes that the use of different electric power generation systems with industrial applications needs control devices to work on improving the power quality and performance of systems in which there is an imbalance in the voltage or current due to the change of loads or feeding from the source. The present study also presents a model of a transformer widely used in industrial applications and this work includes simulating a three-phase rectifier by MATLAB. There are four cases in this work HWR (uncontrolled and controlled) and FWR (uncontrolled and uncontrolled) with different loads (R, RL & RC) including full wave type AC/DC using six electronic transformer silicon control rectifier (SCRs) once as well as unified half wave using three electronic transformer silicon control rectifier (SCRs). Simulation results include input, output voltage, and current with the waveform.

scholarly journals Identification of abnormal tribological regimes using a microphone and semi-supervised machine-learning algorithm

Friction ◽  
2021 ◽  
Author(s):  
Vigneashwara Pandiyan ◽  
Josef Prost ◽  
Georg Vorlaufer ◽  
Markus Varga ◽  
Kilian Wasmer
Keyword(s):  
Machine Learning ◽  
Learning Algorithm ◽  
Industrial Applications ◽  
Supervised Machine Learning ◽  
Normal Operation ◽  
Promising Alternative ◽  
Wear And Tear ◽  
Validation Procedure ◽  
And Performance

AbstractFunctional surfaces in relative contact and motion are prone to wear and tear, resulting in loss of efficiency and performance of the workpieces/machines. Wear occurs in the form of adhesion, abrasion, scuffing, galling, and scoring between contacts. However, the rate of the wear phenomenon depends primarily on the physical properties and the surrounding environment. Monitoring the integrity of surfaces by offline inspections leads to significant wasted machine time. A potential alternate option to offline inspection currently practiced in industries is the analysis of sensors signatures capable of capturing the wear state and correlating it with the wear phenomenon, followed by in situ classification using a state-of-the-art machine learning (ML) algorithm. Though this technique is better than offline inspection, it possesses inherent disadvantages for training the ML models. Ideally, supervised training of ML models requires the datasets considered for the classification to be of equal weightage to avoid biasing. The collection of such a dataset is very cumbersome and expensive in practice, as in real industrial applications, the malfunction period is minimal compared to normal operation. Furthermore, classification models would not classify new wear phenomena from the normal regime if they are unfamiliar. As a promising alternative, in this work, we propose a methodology able to differentiate the abnormal regimes, i.e., wear phenomenon regimes, from the normal regime. This is carried out by familiarizing the ML algorithms only with the distribution of the acoustic emission (AE) signals captured using a microphone related to the normal regime. As a result, the ML algorithms would be able to detect whether some overlaps exist with the learnt distributions when a new, unseen signal arrives. To achieve this goal, a generative convolutional neural network (CNN) architecture based on variational auto encoder (VAE) is built and trained. During the validation procedure of the proposed CNN architectures, we were capable of identifying acoustics signals corresponding to the normal and abnormal wear regime with an accuracy of 97% and 80%. Hence, our approach shows very promising results for in situ and real-time condition monitoring or even wear prediction in tribological applications.

scholarly journals TECHNICAL CHARACTERISTICS AND CONSTRUCTION FEATURES OF MEAT GRINDERS

2020 ◽  
Vol 8 (Spl-2-AABAS) ◽  
pp. S361-S367
Author(s):  
Yermek Abilmazhinov ◽  
◽  
Galiya Abdilova ◽  
Maksim Rebezov ◽  
Rustem Zalilov ◽  
...  
Keyword(s):  
Meat Products ◽  
Industrial Applications ◽  
Operating Principle ◽  
And Performance

Most of the technological operations for the production of meat products are mechanised and carried out using specially designed equipment, including meat grinders. This paper reviews meat grinders of different design and performance, used in both household and industrial applications. The technical characteristics, construction and operating principle of the meat grinder are described.

scholarly journals Three Phase Resolution Transmitarray Element for Electronically Reconfigurable Transmitarrays

2019 ◽  
Vol 2019 (2) ◽  
pp. 106-113
Author(s):  
Nguyễn Minh Thiện ◽  
Nguyễn Hữu Minh ◽  
Nguyễn Bình Dương
Keyword(s):  
Phase Change ◽  
Phase State ◽  
Main Beam ◽  
System A ◽  
Full Wave ◽  
Three Phase ◽  
Phase Resolution ◽  
Waveguide System ◽  
Em Simulation ◽  
And Performance

Electrical beam scanning is a feature enabling an antenna array to electrically control its main beam toward a desired direction. In this paper, a three-phase state element for electronically reconfigurable transmitarrays is presented. The element is made up of C-patches and modified ring slots loaded rectangular gaps. By controlling the bias state of four p-i-n diodes, three phase states are obtained. The dimension of the element is optimized by using full-wave EM simulation and performance of the element is validated by both simulation and an experimental waveguide system. A transmitarrayconsistingof12×12elementshasbeensimulated to validate the steering capabilities. Experimental results indicate the element has good characteristics and excellent phase change capabilities.

Design and performance of a microstrip reflectarray on a uniaxial substrate

2002 ◽  
Vol 80 (1) ◽  
pp. 7-17 ◽  
Author(s):  
A Iliadis ◽  
K Siakavara
Keyword(s):  
Electromagnetic Field ◽  
Green's Function ◽  
Method Of Moments ◽  
Dielectric Substrate ◽  
Side Lobe ◽  
Side Lobe Level ◽  
Dual Polarization ◽  
Full Wave ◽  
Wave Technique ◽  
And Performance

A design formulation of microstrip reflectarrays is presented in this paper. Previous published articles, referring to this subject, present results for reflectarrays on a uniform dielectric substrate. In this work microstrip reflectarrays with offset feed, dual polarization, and side-lobe level under control, fabricated on a uniaxial substrate were studied. The method of moments, combined with the full-wave technique, and the corresponding dyadic Green's function is used for the specification of the electromagnetic field scattered by the array. PACS No.: 84.40B

Computer Vision-Based Non-Magnetic Object Detection on Moving Conveyors in Steel Industry through Differential Techniques and Performance Evaluation

2014 ◽  
pp. 247-261
Author(s):  
K. C. Manjunatha ◽  
H. S. Mohana ◽  
P. A. Vijaya
Keyword(s):  
Object Detection ◽  
Steel Industry ◽  
Material Handling ◽  
Raw Materials ◽  
Industrial Applications ◽  
Raw Material ◽  
Smart Control ◽  
Image Pixels ◽  
And Performance ◽  
Video Input

Intelligent process control technology in various manufacturing industries is important. Vision-based non-magnetic object detection on moving conveyor in the steel industry will play a vital role for intelligent processes and raw material handling. This chapter presents an approach for a vision-based system that performs the detection of non-magnetic objects on raw material moving conveyor in a secondary steel-making industry. At single camera level, a vision-based differential algorithm is applied to recognize an object. Image pixels-based differential techniques, optical flow, and motion-based segmentations are used for traffic parameters extraction; the proposed approach extends those futures into industrial applications. The authors implement a smart control system, since they can save the energy and control unnecessary breakdowns in a robust manner. The technique developed for non-magnetic object detection has a single static background. Establishing background and background subtraction from continuous video input frames forms the basis. Detection of non-magnetic materials, which are moving with raw materials, and taking immediate action at the same stage as the material handling system will avoid the breakdowns or power wastage. The authors achieve accuracy up to 95% with the computational time of not more than 1.5 seconds for complete system execution.

Computer Vision-Based Non-Magnetic Object Detection on Moving Conveyors in Steel Industry Through Differential Techniques and Performance Evaluation

2018 ◽  
pp. 1820-1837
Author(s):  
K. C. Manjunatha ◽  
H. S. Mohana ◽  
P. A. Vijaya
Keyword(s):  
Object Detection ◽  
Steel Industry ◽  
Material Handling ◽  
Raw Materials ◽  
Industrial Applications ◽  
Raw Material ◽  
Smart Control ◽  
Image Pixels ◽  
And Performance ◽  
Video Input

Intelligent process control technology in various manufacturing industries is important. Vision-based non-magnetic object detection on moving conveyor in the steel industry will play a vital role for intelligent processes and raw material handling. This chapter presents an approach for a vision-based system that performs the detection of non-magnetic objects on raw material moving conveyor in a secondary steel-making industry. At single camera level, a vision-based differential algorithm is applied to recognize an object. Image pixels-based differential techniques, optical flow, and motion-based segmentations are used for traffic parameters extraction; the proposed approach extends those futures into industrial applications. The authors implement a smart control system, since they can save the energy and control unnecessary breakdowns in a robust manner. The technique developed for non-magnetic object detection has a single static background. Establishing background and background subtraction from continuous video input frames forms the basis. Detection of non-magnetic materials, which are moving with raw materials, and taking immediate action at the same stage as the material handling system will avoid the breakdowns or power wastage. The authors achieve accuracy up to 95% with the computational time of not more than 1.5 seconds for complete system execution.

Design of symmetrical half-bridge converter with a series coupling capacitor

2020 ◽  
Vol 17 (5) ◽  
pp. 609-620
Author(s):  
Ruchi Rashmi ◽  
Shweta Jagtap
Keyword(s):  
Low Cost ◽  
Control Mode ◽  
Variable Load ◽  
Content Type ◽  
Symmetrical Mode ◽  
Coupling Capacitor ◽  
Switched Mode Power Supply ◽  
And Performance ◽  
Asymmetrical Mode ◽  
Voltage Control Mode

Purpose With the advancement of technology, size, cost, and losses of the switched mode power supply (SMPS) have been decreasing. However, due to the high frequency switching, design of magnetic drives and isolation circuits are becoming a crucial factor in SMPS. This paper presents design criteria, procedure and implementation of AC-DC half bridge (HB) converter with lower cost, smaller size and lower voltage stress on the power switch. Design/Methodology/approach The HB converter is designed in a symmetrical mode with a series coupling capacitor. Isolated power supplies are used for the converter and control circuit. Further, a transformer based isolated gate driver is used to drive both MOSFETs. The control IC works in voltage control mode to regulate voltage by controlling the duty cycle of the MOSFETs. Findings Control characteristics and performance of the HB converter is simulated using the MATLAB software and prototype of 170 W HB converter is built to validate the analytical results under variable load current and source voltage. The power quality and variation of load voltage at 2 A, 5 A, 7 A are reported. Originality/value This paper presents the design of a low-cost HB converter in a symmetrical mode which saves the additional cost of symmetric correction circuit normally required in asymmetrical mode design. This paper also focuses on the selection of primary and secondary side switch, series coupling capacitor, commuting diode, isolated drive and charge equalizer resistor.

scholarly journals Paving the Way to Eco-Friendly IoT Antennas: Tencel-Based Ultra-Thin Compact Monopole and Its Applications to ZigBee

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3658
Author(s):  
María Elena de Cos Gómez ◽  
Humberto Fernández Álvarez ◽  
Alicia Flórez Berdasco ◽  
Fernando Las-Heras Andrés
Keyword(s):  
Dielectric Permittivity ◽  
Frequency Band ◽  
Loss Tangent ◽  
Relative Dielectric Permittivity ◽  
Iot Applications ◽  
Half Wave ◽  
And Performance ◽  
Dielectric Permittivity And Loss ◽  
Range Test ◽  
The Way

An ultrathin, compact ecofriendly antenna suitable for IoT applications around 2.45 GHz is achieved as a result of exploring the use of Tencel fabric for the antenna’s design. The botanical ecofriendly Tencel is electromagnetically characterized, in terms of relative dielectric permittivity and loss tangent, in the target IoT frequency band. To explore the suitability of the Tencel, a comparison is conducted with conventionally used RO3003, with similar relative dielectric permittivity, regarding the antenna dimensions and performance. In addition, the antenna robustness under bent conditions is also analyzed by measurement. To assess the relevance of this contribution, the ultrathin ecofriendly Tencel-based antenna is compared with recently published antennas for IoT in the same band and also, with commercial half-wave dipole by performing a range test on a ZigBee-based IoT testbed.

Sign in / Sign up

Export Citation Format

Share Document