scholarly journals REAL-TIME MONITORING SYSTEM OF POWER TRANSFORMER USING IoT AND GSM

2021 ◽  
Vol 16 (9) ◽  
Author(s):  
Jehan Parvez
Keyword(s):  
Power System ◽  
Monitoring System ◽  
Power Transformer ◽  
Low Cost ◽  
Research Work ◽  
Economic Loss ◽  
Open Circuit ◽  
Power Outage ◽  
And Performance ◽  
User Friendly

The power transformer is the most important and expensive element in the power system. It is used to change the voltage levels at different stages in a power system. The foremost responsibility of the utility grid is to ensure smooth and reliable availability of power through the transformer. But there are different abnormal conditions that can occur in the transformer such as overheating, overexcitation, abnormal frequency, overload, abnormal voltage, open circuit, and breaker failure. These abnormal conditions reduce the life, efficiency, and performance of the transformer, as a result, the overall reliability of the power system gets decreased. Moreover, in case of any failure of the power transformer, the consumers will suffer a severe power outage and consequently, a massive economic loss will occur. During abnormal conditions, the health of a transformer is deteriorating, and it is very important, that the operator should act quickly and accurately in terms of any abnormality occurred. For this purpose, need a proper health monitoring system that should properly monitor the health of the transformer and take proper action to prevent it from greater damages. The proposed system is user-friendly, flexible, reliable, and presenting more functionalities with almost 10 times lower cost than the existing system. This research work has developed a low-cost GSM and internet of things (IoT) based indigenous prototype for transformer monitoring that will be able to early inform the relevant staff through SMS and web data for the different abnormal conditions.

Experimental Investigation of Microfluidic Feature Manufacturing by Digital Light Processing Stereolithography

2020 ◽  
Author(s):  
Lara Rebaioli ◽  
Irene Fassi
Keyword(s):  
Process Parameters ◽  
Low Cost ◽  
Dimensional Accuracy ◽  
Machine Building ◽  
Single Step ◽  
Main Process ◽  
Single Chip ◽  
Digital Light Processing ◽  
And Performance ◽  
User Friendly

Abstract Lab on Chips (LOCs) are devices, mostly based on microfluidics, that allow to perform one or several chemical, biochemical or biological analysis in a miniaturized format on a single chip. The Additive Manufacturing processes, and in particular the Digital Light Processing stereolithography (DLP-SLA), could quickly produce a complete LOC with high resolution 3D features in a single step, i.e. without the need for assembly processes, and using low cost and user-friendly desktop machines. However, the potential of DLP-SLA to produce non-planar channels or channels with complex sections has not been fully investigated yet. This study proposes a benchmark artifact (including also some channels with their axis lying in a plane parallel to the machine building platform) aiming at assessing the capability and performance of DLP-SLA for manufacturing microfeatures for microfluidic devices. A proper experimental campaign was performed to evaluate the effect of the main process parameters (namely, layer thickness and exposure time) on the process performance. The results pointed out that both the process parameters influence the quality and dimensional accuracy of the analyzed features.

scholarly journals Early Detection of Atrial Fibrillation Based on ECG Signals

2020 ◽  
Vol 7 (1) ◽  
pp. 16
Author(s):  
Nuzhat Ahmed ◽  
Yong Zhu
Keyword(s):  
Atrial Fibrillation ◽  
Early Detection ◽  
Real Time ◽  
Monitoring System ◽  
Low Cost ◽  
Research Work ◽  
Threshold Values ◽  
Heart Health ◽  
Ecg Signals ◽  
Normal Heart Rate

Atrial fibrillation, often called AF is considered to be the most common type of cardiac arrhythmia, which is a major healthcare challenge. Early detection of AF and the appropriate treatment is crucial if the symptoms seem to be consistent and persistent. This research work focused on the development of a heart monitoring system which could be considered as a feasible solution in early detection of potential AF in real time. The objective was to bridge the gap in the market for a low-cost, at home use, noninvasive heart health monitoring system specifically designed to periodically monitor heart health in subjects with AF disorder concerns. The main characteristic of AF disorder is the considerably higher heartbeat and the varying period between observed R waves in electrocardiogram (ECG) signals. This proposed research was conducted to develop a low cost and easy to use device that measures and analyzes the heartbeat variations, varying time period between successive R peaks of the ECG signal and compares the result with the normal heart rate and RR intervals. Upon exceeding the threshold values, this device creates an alert to notify about the possible AF detection. The prototype for this research consisted of a Bitalino ECG sensor and electrodes, an Arduino microcontroller, and a simple circuit. The data was acquired and analyzed using the Arduino software in real time. The prototype was used to analyze healthy ECG data and using the MIT-BIH database the real AF patient data was analyzed, and reasonable threshold values were found, which yielded a reasonable success rate of AF detection.

scholarly journals Sensor Based Automatic Neonate Respiration Monitoring System

2019 ◽  
Vol 9 (2) ◽  
pp. 1296-1299
Keyword(s):  
Heart Rate ◽  
Internet Of Things ◽  
Monitoring System ◽  
Respiratory System ◽  
Medical Information ◽  
Low Cost ◽  
Research Work ◽  
Breathing Rate ◽  
Flow Sensors ◽  
Respiration Monitoring

This research work aims to create awareness and monitor the breath rate of a neonate using the air flow sensors and to reduce the number of infants’ death. It is designed based on the Arduino which is open-source electronics platform for hardware and software use. This prototype is developed for reliable and efficient baby monitoring system and play as infant care and monitoring system.A cardio respiratory system is used to monitor the infant’s heart rate, rhythm, breathing rate and other relevant and useful medical information using Electro Cardio Graph (ECG) and other IoT (Internet of Things) devices.This research work proved that the respiration monitoring system for infants can be implemented at low cost and also can prevent the respiration failure deaths.

scholarly journals Microcontroller Based Portable Anemometer for Wind Monitoring System

2019 ◽  
Vol 8 (4) ◽  
pp. 6262-6267
Keyword(s):  
Wind Speed ◽  
Monitoring System ◽  
Wind Direction ◽  
Liquid Crystal Display ◽  
Low Cost ◽  
Mechanical Energy ◽  
Research Work ◽  
Electrical Energy ◽  
Electrical Signal ◽  
Military Operations

Weather monitoring and forecasting system plays an important role nowadays in all the aspect of science, trade and other fields not limited to the field of cultivation, farming, fishery, naval trade, shipping, military operations, air navigation etc. Wind speed and wind direction is one of the most vital weather variables like moisture, pressure, temperature, density, rain forecast, solar radiation, clouds, air masses, fronts and storms. In this paper, a low cost PIC16F887 microcontroller based portable wind speed and wind direction monitoring system called an anemometer is designed & experimented. The designed anemometer is divided into two parts namely mechanical and electrical parts. Both parts are developed, designed and tested in this research work. Wind turns the cup of Anemometer and produced mechanical energy that converted to electrical energy or signal. The electrical signal or pulse intervals determine by the microcontroller and generate consequence pulses to find out the wind speed. The programming codes inside the microcontroller helps to extract the voltage drops measured from a potentiometer connected to the mechanical part of Anemometer and intellect the wind direction precisely. A lucrative 16x2 liquid crystal display (LCD) is used to display the wind speed and direction.

Design Procedure and Performance Analysis of a Microturbine Combustor Working on Biogas for Power Generation

2019 ◽  
Author(s):  
Bahamin Bazooyar ◽  
Hamidreza Gohari Darabkhani
Keyword(s):  
Performance Analysis ◽  
Fossil Fuels ◽  
Low Cost ◽  
Research Work ◽  
Design Procedure ◽  
Gaseous Emissions ◽  
Cfd Modelling ◽  
Gas Combustion ◽  
Natural Gas Combustion ◽  
And Performance

Abstract Design of the combustor is of high priority in microturbine generators (MTG) due to the small and compact configuration of these type of generators and high range of the shaft revolution (normally over 100k rpm). Design process of the MTG components including the micro combustor and turbomachinery also require accurate description of the combustion phenomena, heat transfer, emission level and performance analysis of the system. Design of combustors for renewable fuels such as biogas has several complications including overcoming the lower heating value of the biogas (normally 1/3 of the natural gas), combustion instabilities and corrosion effects of burning these types of fuels. The main benefit of burning a carbon neutral fuel (e.g., biogas), however will be in reducing the carbon emission by avoiding fossil fuels and achieving the environmental targets (e.g., Paris Agreement). The tubular combustors are in the centre of attention in design and operations of the microturbines due to their low cost and the level of emission. This research work presents the design procedure and CFD modelling of a tubular combustor for a biogas burnt microturbine engine assembly. The biogas is generated from anaerobic digestions of agriculture waste and include a 57% and 43% mixture of methane and CO2 respectively. All the combustor parts are designed with empirical and practical equations and dimensions are optimised by CFD simulations. Operation of the combustor is then analysed in terms of its gaseous emissions. Finally, the operation of the new combustor in a closed heat and power cycle was verified and compared with conventional combustor of the microturbine burning diesel fuel, and as a result all the benefits and considerations for the application of biogas in microturbine assembly are carefully remarked and discussed.

Optimal Design of MPPT Controllers for Grid Connected Photovoltaic Array System

2016 ◽  
Vol 17 (5) ◽  
pp. 511-517 ◽  
Author(s):  
M. A. Ebrahim ◽  
H. A. AbdelHadi ◽  
H. M. Mahmoud ◽  
E. M. Saied ◽  
M. M. Salama
Keyword(s):  
Optimal Design ◽  
Power System ◽  
Short Circuit ◽  
Dynamic Performance ◽  
Research Work ◽  
Open Circuit ◽  
Electric Power System ◽  
Maximum Power ◽  
System Dynamic ◽  
Photovoltaic Array

Abstract Integrating photovoltaic (PV) plants into electric power system exhibits challenges to power system dynamic performance. These challenges stem primarily from the natural characteristics of PV plants, which differ in some respects from the conventional plants. The most significant challenge is how to extract and regulate the maximum power from the sun. This paper presents the optimal design for the most commonly used Maximum Power Point Tracking (MPPT) techniques based on Proportional Integral tuned by Particle Swarm Optimization (PI-PSO). These suggested techniques are, (1) the incremental conductance, (2) perturb and observe, (3) fractional short circuit current and (4) fractional open circuit voltage techniques. This research work provides a comprehensive comparative study with the energy availability ratio from photovoltaic panels. The simulation results proved that the proposed controllers have an impressive tracking response. The system dynamic performance improved greatly using the proposed controllers.

scholarly journals Machine-Learning-Based Elderly Stroke Monitoring System Using Electroencephalography Vital Signals

2021 ◽  
Vol 11 (4) ◽  
pp. 1761
Author(s):  
Yoon-A Choi ◽  
Sejin Park ◽  
Jong-Arm Jun ◽  
Chee Meng Benjamin Ho ◽  
Cheol-Sig Pyo ◽  
...  
Keyword(s):  
Heart Disease ◽  
Real Time ◽  
Monitoring System ◽  
Imaging Techniques ◽  
Low Cost ◽  
The Elderly ◽  
Healthcare Services ◽  
Early Disease Detection ◽  
Magnetic Resonance Imaging Mri ◽  
And Performance

Stroke is the third highest cause of death worldwide after cancer and heart disease, and the number of stroke diseases due to aging is set to at least triple by 2030. As the top three causes of death worldwide are all related to chronic disease, the importance of healthcare is increasing even more. Models that can predict real-time health conditions and diseases using various healthcare services are attracting increasing attention. Most diagnosis and prediction methods of stroke for the elderly involve imaging techniques such as magnetic resonance imaging (MRI). It is difficult to rapidly and accurately diagnose and predict stroke diseases due to the long testing times and high costs associated with MRI. Thus, in this paper, we design and implement a health monitoring system that can predict the precursors of stroke diseases in the elderly in real time during daily walking. First, raw electroencephalography (EEG) data from six channels were preprocessed via Fast Fourier Transform (FFT). The raw EEG power values were then extracted from the raw spectra: alpha (α), beta (β), gamma (γ), delta (δ), and theta (θ) as well as the low β, high β, and θ to β ratio, respectively. The experiments in this paper confirm that the important features of EEG biometric signals alone during walking can accurately determine stroke precursors and occurrence in the elderly with more than 90% accuracy. Further, the Random Forest algorithm with quartiles and Z-score normalization validates the clinical significance and performance of the system proposed in this paper with a 92.51% stroke prediction accuracy. The proposed system can be implemented at a low cost, and it can be applied for early disease detection and prediction using the precursor symptoms of real-time stroke. Furthermore, it is expected that it will be able to detect other diseases such as cancer and heart disease in the future.

Interactive Cycle Analysis

1986 ◽  
Author(s):  
B. A. Anderson ◽  
P. J. Trenkamp
Keyword(s):  
Performance Optimization ◽  
Low Cost ◽  
Aircraft Engine ◽  
User Input ◽  
Cycle System ◽  
Time Logic ◽  
And Performance ◽  
Analysis System ◽  
Component Map ◽  
User Friendly

A new Interactive Cycle System has been developed by General Electric’s Aircraft Engine Business Group for the cycle analysis and performance optimization of conceptual and preliminary engine designs. This paper will explore some of the considerations in moving from a large, well-known, batch, detailed design, modeling system to a low-cost, flexible, responsive, user-friendly, interactive cycle analysis system. The resulting system utilizes menu screens for user input and data review, a modular program structure with stacking of modules to achieve the desired engine configuration, a library of component characteristics augmented by parametric component map generators, and an interpretive reader to permit real-time logic creation without the need for compiling.

Virtual Stability Estimator Model for Three Phase Power System Network

2016 ◽  
Vol 4 (3) ◽  
pp. 520 ◽  
Author(s):  
K. Nithiyananthan ◽  
Simson Samson Raja ◽  
R Sundar ◽  
A Amudha
Keyword(s):  
Power Systems ◽  
Power System ◽  
Virtual Instrument ◽  
Electrical Power ◽  
Research Work ◽  
Electrical Power Systems ◽  
Proposed Model ◽  
Three Phase ◽  
User Friendly ◽  
Steady State Stability

<p><em>The main objective of this research work is to develop a simple power systems steady state stability estimator in LabView for three phase power system network. LabVIEW based power systems stability estimator has been chosen as the main platform because it is a user friendly and easy to apply in power systems. This research work is intended to simultaneously acclimate the power system engineers with the utilization of LabVIEW with electrical power systems. This proposed work will discuss about the configuration and the improvement of the intelligent instructional VI (virtual instrument) modules in power systems for power systems stability solutions. In the proposed model power systems stability has been carried out and model has been developed such that it can accommodate the latest versions of power systems stability algorithms.</em></p>

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