Laboratory Virtual Instrument Engineering Workbench Research Articles

Real-Time Monitoring of Cable Sag and Overhead Power Line Parameters Based on a Distributed Sensor Network and Implementation in a Web Server and IoT.

Based on the need for real-time sag monitoring of Overhead Power Lines (OPL) for electricity transmission, this article presents the implementation of a hardware and software system for online monitoring of OPL cables. The mathematical model based on differential equations and the methods of algorithmic calculation of OPL cable sag are presented. Considering that, based on the mathematical model presented, the calculation of cable sag can be done in different ways depending on the sensors used, and the presented application uses a variety of sensors. Therefore, a direct calculation is made using one of the different methods. Subsequently, the verification relations are highlighted directly, and in return, the calculation by the alternative method, which uses another group of sensors, generates both a verification of the calculation and the functionality of the sensors, thus obtaining a defect observer of the sensors. The hardware architecture of the OPL cable online monitoring application is presented, together with the main characteristics of the sensors and communication equipment used. The configurations required to transmit data using the ModBUS and ZigBee protocols are also presented. The main software modules of the OPL cable condition monitoring application are described, which ensure the monitoring of the main parameters of the power line and the visualisation of the results both on the electricity provider's intranet using a web server and MySQL database, and on the Internet using an Internet of Things (IoT) server. This categorisation of the data visualisation mode is done in such a way as to ensure a high level of cyber security. Also, the global accuracy of the entire OPL cable sag calculus system is estimated at 0.1%. Starting from the mathematical model of the OPL cable sag calculation, it goes through the stages of creating such a monitoring system, from the numerical simulations carried out using Matlab to the real-time implementation of this monitoring application using Laboratory Virtual Instrument Engineering Workbench (LabVIEW).

A Prioritised Automatic Switching Algorithm for Load Shedding Using Labview

Load shedding is employed at the Ghana Grid Company (GRIDCo) Tarkwa power substation to ensure a balance between power demand and available power. This involves taking off loads from the power transmission network when demand exceeds available power. Such loads are later reintroduced when available power is adequate to supply applied loads. The traditional technique of load shedding employed at the GRIDCo power substation in Tarkwa requires dropping electrical loads based on frequency variations. This may lead to dropping load of entire sections without consideration of essential loads. Research into prioritised load shedding algorithm using semi adaptive load shedding approach can continuously monitor and switch loads at the study area which is a transmission substation located in the Western Region of Ghana. Electrical Transient Analysis Program (ETAP) software version 2019 was used to simulate the single line system of the GRIDCo substation to determine the rate of change of frequency against varying loads. The implementation of the proposed technique was achieved with Laboratory Virtual Instrument Engineering Workbench (LabVIEW) software version 2019. Using typical load shedding data from the GRIDCo Tarkwa power substation, the proposed design was tested and found to be effective in carrying out load shedding.

Piezoelectric actuation combined with ultrasound for enhancing drug delivery in gastric mucosa phantom in vitro

In recent years, treatments for gastrointestinal malignant tumors have attracted a lot of attention. However, due to size limitations and the working environment of gastrointestinal peristalsis, traditional treatment methods have poor efficacy. Herein, we proposed a novel drug release method of piezoelectric actuation combined with ultrasound in the endoscope biopsy channel. A bidirectional piezoelectric actuator was manufactured and inserted into the endoscope with an ultrasonic transducer, adjusting the distance between the transducer and the lesion. A gastric mucosa phantom was fabricated and a finite element (FE) model was established for ultrasound thermal calculation. For enhancing the drug release rate, a pulse-echo method was conducted using a Laboratory Virtual Instrument Engineering Workbench (LabVIEW) program for real-time monitoring and feedback. The results of FEM calculations show that the temperature in the phantom can reach the melting-phase transition temperature of the TSL (41 ± 1 °C). The drug release rate can increase from 2.2 × 10−4 mg min−1 to 39.2 × 10−4 mg min−1 with our actuator, the latter is nearly 18 times the former. Furthermore, the drug release rate can be increased to a maximum value of 45.8 × 10−4 mg min−1 by optimizing the driving parameter of our actuator. Therefore, our method has a bright application in targeted drug delivery of major gastrointestinal diseases in the future.

Hardware-Based Novel Applications to Locate Faults in Branched Distribution Systems

The investigations on short-circuit fault protection applications have shown that the majority of research are toward transmission networks. In the case of distribution networks, however, most studies have been focused on identifying the fault and its type or detecting the faulty bus, rather than locating the fault directly. This study presents two hardware-based applications, the first known prototype device attempts to directly predict fault location in branched distribution networks, which operate in real-time and off-line respectively. In the real-time application, a circuit is designed in Laboratory Virtual Instrument Engineering Workbench (LabVIEW) to transform 3 phase current-voltage modeling data into analog signals. The signals are then processed by a digital signal processor and the fault location is determined by the embedded algorithm in real time. The off-line application obtains results using the MATLAB Gui-based interface, which is integrated into the LattePanda development board. The algorithms inside both applications use Random Forest (RF) along with Fast Walsh Hadamard Transform (FWHT) feature to estimate the fault location. The performance of both systems is validated on a real 111-bus distribution feeder located in Turkey.

Automatic Power Transformer Tester

An essential step in the production of transformers is the quality testing of the devices. Transformers with normal operation have a lower failure rate and longer lifespan. When done manually, checking the transformer in its whole is a time-consuming and laborious task. Using the software platform LabVIEW (Laboratory Virtual Instrumentation Engineering Workbench), the testing method is automated and can save the time .The test platform is made to conduct tests with high voltage and zero load voltage test. A comprehensive design, simulation, and visualisation environment is provided by the LABVIEW software platform. The programme is built on cutting-edge. computing techniques making it possible to calculate the ideal transformer active and mechanical part configuration.

Brain signals analysis for sleep stages detection using virtual instrumentation platform

This paper discusses the use of the Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW) software tool for analyzing brain waveforms (i.e EEG: electroencephalogram) to study sleep stages such as deep sleep, light sleep and so on. The used EEG signals are generated in order to span all sleeping phases. Indeed, a mandatory step of signal processing has been performed, such as sampling, filtering and features extraction. This analysis is carried out with the LabVIEW program, which is a popular virtual instrumentation platform. The EEG signals used in the analysis were obtained from an open-source database and went through several steps, including noise removal, classification and feature extraction. To extract the feature, different filters are employed and the outputs of all filters are compared, leading to a sleep level detection. The simulation results show clearly the performances of this analysis.

Compact surface plasmon resonance sensor using the digital versatile disc grating as a coupler and a disperser

Compact surface plasmon resonance (SPR) sensors are highly demanded due to their small size, low cost, and wide application scenarios compared with benchtop sensors. To realize high-precision spectral or angular analysis, most compact SPR sensors need spectrometers or rotation stages, which increase the cost of the device. We demonstrate a low-cost and compact SPR sensor by utilizing a single grating as a coupler and a disperser. The polychromatic light emitted from a light-emitting diode was coupled to surface plasmon modes by a grating made from a digital versatile disc-recordable disc. The light was dispersed by the same grating and collected by a linear charge-coupled device. The real-time detection of the SPR spectra and the resonant wavelengths was realized by homemade software based on the laboratory virtual instrument engineering workbench. By measuring different concentrations of glucose solution and sodium chloride solution, we obtain a high refractive index (RI) resolution of 5.52 × 10 − 5 RI unit. This compact SPR sensor can be applied in the areas of food safety, environmental monitoring, medical diagnosis, and so on.

DESIGN AND IMPLEMENTATION OF EFFICIENT DIGITAL FILTERS USING LABVIEW

In digital signal processing, the purpose of a filter is to remove unnecessary components in the signal, such as random noise. An infinite impulse response (IIR) filter is an iteration-type filter. The current pattern resulting from the IIR filter is based on the current input and output patterns. Several methods are available to detect digital IIR filters. Filters are widely used in signal processing and communication device approaches such as in channel equalization; noise reduction; radar systems; audio, speech signal, video, and biomedical signal processing, and economical, electrocardiogram, electroencephalogram, electromyography, and electrical circuit analyses. In this study, we used the Laboratory Virtual Instrument Engineering Workbench (LabVIEW) software program to analyze the design and implementation of an efficient digital filter, the results of which are presented in this paper. The important objective of this task was to design and examine different IIR filters-namely, Chebyshev, Butterworth, and Elliptic filters-using LabVIEW for the simulation processes. LabVIEW is used by graphical programming environmental engineers to implement automated research, certification, and product testing systems. In this work, the LabVIEW graphical programming tool was used because it gives accurate results in real time compared to other available simulation tools.

Fault Recognition of Multilevel Inverter Using Artificial Neural Network Approach

This paper focuses on the development of a diagnostic tool for detecting insulated gate bipolar transistor power electronic switch flaws caused by both open and short circuit faults in multi-level inverter time-frequency output voltage specifications. High-resolution laboratory virtual instrument engineering workbench software testing tool with a sample rate data collection system, as well as specialized signal processing and soft computing technologies, are used in this proposed method. On a single-phase cascaded H-bridge multilevel inverter, simulation and experimental investigations of both open and short issues of the insulated gate bipolar transistor components are performed out. In all conceivable switch issues, the output voltage signals are evaluated for different modulation index values. Fast fourier transform and discrete wavelet transform methods are used to investigate the frequency domain properties of output voltage signals. In the artificial neural network, the back propagation training technique was employed, and the generated neural parameter values were used in the Laboratory Virtual Instrumentation Engineering Workbench real-time fault diagnosis model.

Remote Access Greenhouse Automation Application Based On LabVIEW

Various automatic control systems have been established in order to increase the yield of the products to be obtained from the plants grown in the greenhouses. These control systems come into prominence in ensuring the automatic solution of the determined problems by being activated quickly, controlling the temperature and moisture values in the greenhouse and in the stable operation of the system. In this study, remote access greenhouse automation application was performed with the NI MyRIO control card, and system data was monitored and controlled in real time via the Laboratory Virtual Instrument Engineering Workbench (LabVIEW) graphical program. The values of the plants to be grown in the greenhouse such as water, temperature, moisture and appropriate photosynthesis light ratio are measured and determined by the sensors used in the system and shown to the user with the LabVIEW interface program with the NI MyRIO control card.

Measurement of an electroretinogram signal and display waves on graphical user interface by laboratory virtual instrument engineering workbench

The electroretinogram (ERG) is an electrophysiological recording method that measures the retinal electrical potential. The electrical reaction is quantified by electrical interaction of the indicator electrode with the cornea or at various levels inside the retina. However, such ERG systems suffer from certain limitations and challenges, such as high cost, low a/b-wave amplitude, and the outcomes do not provide any information about patients. In this work, we designed and implemented a real-time prototype for an ERG system for measuring eye waves via diode-transistor logic (DTL)- electrode and AD624AD-model. In addition, a graphical user interface (GUI) via virtual instrument engineering workbench (LabVIEW) was used. The developed system achieved high amplitude for ERG a/b-waves of about 100 and 700 mV. In terms of a/b-waves in the system, the findings show that this study has good results for optimizing the measurement of ERG signals. The method showed satisfactory accuracy of about 92.5% for 10 participants aged 20-60 years and comprising both genders

Remote data acquisition with wireless communication for a quad-GEM detector

The advantages of remote data acquisition (DAQ) in experimental setup are manifold. It is useful to store the time series data continuously without human intervention. Moreover, specific modification in the experimental setup for remote DAQ is also beneficial to avoid proximity to the radiation zone in the high energy physics experiments, and thus radiation exposure is minimized. In this article, a novel method of DAQ is explored for Gas Electron Multiplier (GEM) detectors employing HC-12 wireless serial communication module following both SCPI and non-standard protocols. Dedicated Laboratory Virtual Instrument Engineering Workbench (LabVIEW) based software interfacing is also developed for communication and control. As a proof of concept of the feasibility of the proposed method, the typical gain of a quad-GEM detector is estimated. Measuring instruments (a quad-scaler built in-house and a commercially procured picoammeter) are interfaced with the wireless transmission system for this purpose. Data transferred through wireless communication are utilized for estimating the normalized gain of a quad-GEM detector for a given interval of time. The details of the design of the wireless communication system, fabrication procedure, remote DAQ system, experimental arrangement, and results are presented in this article.

Real-Time Monitoring, Analysis and Control of Power Parameters in Residential Houses Using LabVIEW

Electrical energy consumed in residential has an important value in total consumption. For this reason, monitoring and control of the electricity consumed in the residential offers a significant potential for energy saving. In this study, the power parameters of the linear and nonlinear loads used in the residential have measured, analyzed and controlled in real time. Thanks to real-time monitoring, analysis and control of power parameters ensure efficient use of energy. For this, power parameters of the loads used have transferred to the computer thanks to the data acquisition card. A visual interface has been created with the software designed in the Laboratory Virtual Instrument Engineering Workbench (LabVIEW) program so that the data transferred to the computer can be monitored and controlled instantly.

Performance analysis and enhancement of brain emotion-based intelligent controller and its impact on PMBLDC motor drive for electric vehicle applications

ABSTRACT Growing awareness of electric vehicles insists on the necessity of Permanent Magnet Brushless Direct Current Motor (PMBLDCM) worldwide. This paper involves building a simulation model of the complete PMBLDCM drive system using Matlab/Simulink to control the speed and Torque. Using the Simulink model, speed parameters with various controllers of the drive system are studied and analyzed. The conventional PI controller is capable of controlling the speed of the PMBLDC motor. H1owever, it cannot give assurance of the stability of the motor throughout the load variation. In a speed loop, Improved Brain Emotional Learning Based Intelligent Controller (IBELBIC) is proposed in this paper. The proposed IBELBIC-based PMBLDC motor drive system with a rating of 3 phase, 30 V, 400 W, 3000 RPM is implemented using Spartan 3 Field Programmable Gate Array (FPGA) from Xilinx. This paper presents an IBELBIC design for enhancing the speed performance of the drive system at various set speeds and different load conditions of 1.2 Nm load, 0.6 Nm load, and no load. The proposed PMBLDCM drive system is realized with the help of a Very high speed integrated circuit Hardware Description Language (VHDL) programming algorithm of digital Pulse Width Modulation (PWM) generator topology. Various test cases are evaluated under different operating conditions to demonstrate the learning capability and the applicability of the proposed controller. In this paper, simulation validation is done using hardware setup, and experimental results are monitored on a computer using a customized program developed using LabVIEW (Laboratory Virtual Instrumentation Engineering Workbench). Instead of a Data Acquisition (DAQ) card, the Virtual Instrument Software Architecture (VISA) tool of LabVIEW software is used in this work and results in cost minimization of the experimental setup.

Developing the Test Bench Software for the Technical Inspection of Volumetric Hydraulic Drives

Introduction. The article describes the test bench specialized software, developed for technical inspection of domestic and foreign volumetric hydraulic drives in repair enterprises and service centers. The results of bench tests using a hydraulic bench and software are presented. Materials and Methods For the application software development, G graphical programming language of the Laboratory Virtual Instrumentation Engineering Workbench (Lab- View) programming environment developed by the National Instruments Company has been used. The reliability of the results obtained has been confirmed by a series of bench tests of domestic and foreign volumetric hydraulic drives. Results. There has been developed and implemented new test bench software for the technical inspection of hydraulic drives of different models from domestic and foreign manufacturers in repair plants and service centers. The software is used to capture, process and store data from the sensors during testing, to calculate and output measurement data, to conduct nonlaboratory analysis of the testing process in graphical, textual and video formats, to calibrate sensors, and to store the test results in the electronic library system. The specialized software runs under the Microsoft Windows 7 x86 (32-bit) operating system and is installed on a personal computer of the hydraulic bench data processing unit. The developed software is characterized by the ergonomics of the user interface, the ability to control all the parameters of diagnosing the tested volumetric hydraulic drives. Discussion and Conclusion. Specialized software and the test bench permit high accurate monitoring of all technical condition parameters of the most common domestic and foreign volumetric hydraulic drives in accordance with the requirements of the manufacturers in the repair enterprises and service centers.

LI-Care: A LabVIEW and IoT Based eHealth Monitoring System

This paper presents a Laboratory Virtual Instrument Engineering Workbench (LabVIEW) and Internet of Things (IoT)-based eHealth monitoring system called LI-Care to facilitate the diagnosis of the health condition cost-effectively. The system measures the heart rate, body temperature, blood pressure, oxygen level, and breathing rate, and provides an electrocardiogram (ECG). The required sensors are integrated on a web-based application that keeps track of the essential parameters and gives an alarm indication if one or more physiological parameters go beyond the safe level. It also employs a webcam to obtain the patient view at any time. LabVIEW enables the effortless interfacing of various biomedical sensors with the computer and provides high-speed data acquisition and interactive visualizations. It also provides a web publishing tool to access the interactive window remotely through a web browser. The web-based application is accessible to doctors who are experts in that particular field. They can obtain the real-time reading and directly perform a diagnosis. The parameters measured by the proposed system were validated using the traditional measurement systems, and the Root Mean Square (RMS) errors were obtained for the various parameters. The maximum RMS error as a percentage was 0.159%, which was found in the temperature measurement, and its power consumption is 1 Watt/h. The other RMS errors were 0.05% in measurement of systolic pressure, 0.029% in measurement of diastolic pressure, 0.059% in measurement of breathing rate, 0.002% in measurement of heart rate, 0.076% in measurement of oxygen level, and 0.015% in measurement of ECG. The low RMS errors and ease of deployment make it an attractive alternative for traditional monitoring systems. The proposed system has potential applications in hospitals, nursing homes, remote monitoring of the elderly, non-contact monitoring, etc.

Oscillation Frequency Component-Based Protection Scheme for DC Microgrid

A fast and accurate protection scheme for a dc microgrid enhances the service reliability and improves power quality. Thus, the identification of fault should be accurate and speedy. This article proposes a protection scheme for the dc microgrid based on the current components of the oscillation frequencies. Fault at any point in the dc microgrid results in oscillation of current, where oscillation frequency is a function of fault position, type of fault, etc. The proposed method modifies the existing differential protection scheme during high <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">di/dt</i> fault conditions. Furthermore, the maloperation of a relay due to communication delay in the protection method is averted by applying the proposed method. The real-time implementation of the proposed protection method is performed in the National Instruments laboratory virtual instrument engineering workbench (LabVIEW).

Improved control and monitor two different PLC using LabVIEW and NI-OPC server

&lt;span&gt;This paper proposes an improved control and monitors between two different PLCs, the Mitsubishi, and Omron. The main advantage is interoperability and communication between both PLC. The use of NI OPC server as the software interface reached interoperability and communication. There were developed two field applications to test interoperability. Laboratory virtual instrument engineering workbench (LabVIEW) uses as the software application for creating the user interface to control and monitor. This improvement show OPC server technology solves data compatibility issue between different driver controller’s and reducing development cost. Regardless of whether there are more than two different PLCs, it's enough to use the NI OPC server. So the benefit of the NI OPC server is not limited to two types of PLC used right now but can also use the other manufacturers. Besides, the improvement of the previous study is the use of the LabVIEW makes data from the OPC server displayed more realistic. The use of LabVIEW allows additional monitoring functions, one of which is LabVIEW vision. Data utilization becomes more flexible, and so it can use for more complex purposes. It is envisaged that this is very useful for Integrator engineer to implement this method in industrial automation&lt;/span&gt;

Establishing an AI Model on Data Sensing and Prediction for Smart Home Environment Control Based on LabVIEW

In this study, the authors aimed to realize a smart home using an AI model that can be integrated with the Laboratory Virtual Instrument Engineering Workbench (LabVIEW) application to realize environment control. The collected input data were outdoor temperature, indoor temperature, humidity, illumination, and indoor person count. The output control decisions included control of air conditioners, dehumidifiers, power curtains, and lights. An artificial neural network was utilized to process the input data for machine learning for the objective of achieving a comfortable environment. In addition, the control decision predictions made by this AI model were analyzed for model loss and model accuracy. This study implemented the model. Specifically, LabVIEW was used to design the sensing component, data display, and control interface, and Python was used to establish the intelligent model. Moreover, by using the web publishing tool built into LabVIEW, remote sensing and control were fulfilled in this implementation.

Development of virtual instrument model for parameter estimation of fractal antenna array

AbstractThis paper presents the parameter estimation of the fractal antenna array with the virtual instrument model designed in laboratory virtual instrument engineering workbench software. In this work resonant frequency, gain and voltage standing wave ratio have been used as an output parameter with the change in three input parameters such as radius of a circular patch, height of substrate, and dielectric constant of the material. Measured output parameters have been compared with neural network outputs and error has been represented in a graphical way for each output parameter of the antenna array. Along with output parameter estimation, a designing parameter such as radius of the circular patch has also been estimated with virtual instrument model and absolute error for radius has been shown in the display window of the designed model. The proposed antenna array has been fabricated and simulated results have been validated with measured results.