LabVIEW Software Research Articles

Fault detection and identification in three phase transformer using AI based FSA and PVR analysis

The objective of this paper is to identify the winding faults in three phase transformer. A prototype model of the transformer has been designed and simulated using finite element method (FEM) based CAD package called Infolitica MagNet 6.11.2 in transient 2D solver. From the simulated results the peak variation response in flux linkage signature, flux density magnitude has been captured to identify the transformer winding faults. Then the faulty transformer result has been compared with simulated healthy transformer result. The design incorporated with external taps to create winding short circuit faults. The flux linkage simulation results are verified and validated with an experimental setup by the help of LabVIEW software.

Machine learning-based system for vacuum leakage detection in EAST fusion device

In order to achieve real-time monitoring of partial pressures of residual gases and timely detection of vacuum leakage in fusion devices, a machine learning-based system was successfully developed on the LabVIEW software platform for its first-time application in the EAST fusion device. This system acquires partial pressure data from the quadrupole mass spectrometer (QMS) in both histogram and P&T scanning modes to identify the nature of vacuum leakage. The backpropagation (BP) neural network algorithm is employed for leakage detection. To train the BP neural network model, historical data from normal and leakage scenarios on the EAST device are utilized as inputs. Subsequently, the trained model is integrated into the system. The BP neural network model exhibited an identification accuracy of 95.27 % on the test set, effectively detecting water and gas leakage on EAST. Consequently, this system enables rapid detection of vacuum leakage in fusion devices, facilitating prompt mitigation of their impact on plasma experiments and ensuring the device's safety and stability.

Fault Detection Of 3 Phase Induction Motor Using Vibration Analysis

The induction motor is a critical component extensively employed in industrial applications. It is susceptible to various fault conditions during operation. These faults, which can arise due to multiple external factors, include overloading, single-phasing, unbalanced supply voltage, locked rotor, phase reversal, ground fault, under voltage, and overvoltage. To prevent damage and ensure worker safety, it is essential to promptly shut down the machine upon detecting a fault. Numerous types of faults can occur in induction motors, and identifying them often necessitates the utilization of vibration analysis techniques. These techniques require advanced signal processing methods to achieve rapid and dependable fault detection. Leveraging LabVIEW, a versatile and powerful software system for measurement and automation, can facilitate the creation of graphical interfaces for vibration detection.

Experimental Study on the Simulated Defects Detection in Submerged Transmission Pipeline

Abstract The transport of oil, natural gas, water, and other petrochemical substances is extensively supported by pipelines over long distances. However, long-term use without maintenance causes the residue in the pipeline to gradually settle in the pipeline due to physical or chemical action, and the pipeline becomes an accident. This leads to overpressure and leakages in the pipeline, which in turn affects the safety of the industry and people's lives. This study aims to develop a nondestructive inspection to measure defects in a water pipeline using an ultrasonic technique. An SCH80 carbon steel pipe with a standard thickness of about 11 mm was used for the experiments, and various sets of defects inside and outside of the pipe were simulated, such as holes and grooves. A submerged ultrasonic transducer was used to evaluate the simulated pipeline defects and then acquire the defect data in an imaging system using LabVIEW and origin software. In this way, the thickness and location of the defects were clearly located. In addition, the ultrasonic detection error was calculated to be less than 6.5%. It helps to use this technique and equipment for the inspection of underground fluid pipelines.

Automatic batch weighing and discharge system using NI LabVIEW and auger mechanism

In the fields of metallurgy, mining, coking, rubber, ceramics, cement, grain, friction materials, and other industries, the batching process is crucial. It's sometimes referred to as the "throat" of industrial firms' manufacturing processes. It eloquently contrasts its significance throughout the entire production process. The first objective of the paper is to explain the workings of a dynamic control system for the process of automatic batch weighing and ingredient discharge. The control system is designed to provide maximum flexibility. It incorporates dual sensory mechanisms to more accurately monitor the density and amount of ingredients in a particular container and aid in the precise mixing of different ingredients as per the formula. Innumerable formulas can be added to the system. The second object of the paper is to compare the effects of incorporating NI LabVIEW in designing the control system. We have reviewed NI LabVIEW software with SCADA software on variables such as load handling capacity, computational ability, processing speed, flexibility of programming, and ease of use for the system and the users. The PLCs and process control systems (PCSs) are used to automate the production process. There are integrated system solutions available today for the automation hardware of PLCs and process control systems. It has been demonstrated that the system is inexpensive, highly reliable, and simple to use. It significantly reduces labour intensity and eliminates health risks from dust in the production line for friction materials. It is worthwhile to encourage use across relevant industries. The Auger mechanism is used for the precise discharge of ingredients.

Development of Image Based Model for Basic Standing Yoga Poses that Control Type-2 Diabetes

Yoga is one of the ancient practices originated in India that helps in balancing mind and body of human. For the past few decades it has got wide spread throughout the world. Many are practicing it in the presence of yoga tutor or following some online modes. But improper practice may cause major harm to muscles and ligaments of the human body. There are different asanas proposed in the Patanjali Yoga Sutra that can cure different diseases. This paper, proposes a mathematical model for a set of yoga asanas that can help cure Type -2 Diabetes. A noninvasive analysis has been implemented using Kinect Sensor and LabVIEW software to analyze the performance of the practitioner. The joints are subjected to the flexibility of the practitioner without any overstress.

Manufacturing Process Optimization and Tool Condition Monitoring in Mechanical Engineering

The optimization of manufacturing and production processes with various computer software is essential these days. Solutions on the market allow us to optimize and improve our manufacturing and production processes; one of the most popular software is called Tecnomatrix, which is described in this paper. Tool condition monitoring is a vital part of the manufacturing process in the industry. It requires continuous measurement of the wear of the cutting tool edges to improve the surface quality of the work piece and maintain productivity. Multiple methods are available for the determination of the actual condition of the cutting tool. Vibration diagnostics and acoustic methods are included in this paper. These methods are simple, it requires only high sensitive sensors, microphones, and data acquisition unit to gather the vibration signal and make signal improvement. Extended Taylor equation is applied for tool edge wear ratio. Labview and Matlab software are applied for the measurement and the digital signal processing. Machine learning method with artificial neural network is for the detection and prediction of the edge wear to estimate the remaining useful lifetime (RUL) of the tool.

LabVIEW based ECG simulator and automatic detection system for cardiac disorders

In the present age, most cardiac arrhythmias are emerging due to irregular rhythmic conditions of the heart. Diagnosis of cardiac arrhythmias plays an essential role in the survival of the human race. If rhythms of nature are distorted for any reason, it leads to several variations or abnormalities known as heart arrhythmias. Irregular heartbeats lead to anomalous P, QRS, and T values, which the patient’s ECG can follow. The growing well-being concerns, especially for cardiac arrhythmias, reflect the requirement of creating a cheap and convenient ECG detection system. The most common heart conditions are tachycardia, bradycardia, atrial fibrillation, myocardial infarction and many other cardiac disorders. These diseases are one of the most significant causes of death worldwide. There is much research for recognizable proof of cardiovascular diseases utilizing ECG diagnostic toolbox and different software. So, in this project, the idea is to design an Automatic Disease Detection System on LabVIEW to detect various cardiac abnormalities such as Atrial Flutter (AF), Supraventricular Tachycardia (SVT), Left Bundle Branch Block (LBBB), Ventricular Fibrillation (VF), Myocardial Infarction (MI), Hyperkalaemia and Digoxin by comparing it to the normal ECG signal. So for this, NI LABVIEW (2018) software has been used for designing. This Automated Disease Detection System, hopefully, gives the best accurate and fast results which are low cost, effective, efficient, easy handled and high accuracy rate detection system which can be used in hospitals for medical professionals.

Design and Verification of an Automated Pressure Mapping System and Modulating Air Cells for Pressure Ulcer Prevention

This research focuses on developing an intelligent air mattress prototype based on commercially available alternating pressure air mattresses to prevent pressure ulcers. Force-sensitive resistors (FSRs) are installed under each air cell to measure interface pressure values occurring at different parts of the body. These collected values are then used to create pressure maps, indicating areas of high overpressure. The prototype incorporates a smart pneumatic control system divided into seven functional areas: head, back, waist, buttocks, thighs, calves, and heels. All operations are performed using LabVIEW software.

Nonlinear Multi-Object Differential Game Simulation Model in LabVIEW

This article presents the synthesis of a nonlinear multi-object differential game model in relation to the process of safe ship control in collision situations at sea. Nonlinear dynamic equations of a target ship and linear kinematic equations of passing ships were used to formulate the game state equations. The model of such a differential game was developed using LabVIEW 2022 version software. This was then subjected to simulation tests using the example of a navigational situation in which the target ship passed three encountered ships at a safe distance under the conditions of non-cooperation of ships, their cooperation, and optimal non-game control. The results of the computer simulation are presented in the form of ship trajectories and time courses of individual game control variables. The distinguishing feature of the model built in LabVIEW software is the ability to conduct research in online mode, where the user has the opportunity to track the impact of changes in the model parameters on the course of the differential game simulation on an ongoing basis. Further refinements of the simulation model should concern the larger number of ships and test the sensitivity of the game control quality to inaccuracies in the measured state variables and to changes in the parameters of the ship’s dynamics.

Buckwheat Plant Height Estimation Based on Stereo Vision and a Regression Convolutional Neural Network under Field Conditions

Buckwheat plant height is an important indicator for producers. Due to the decline in agricultural labor, the automatic and real-time acquisition of crop growth information will become a prominent issue for farms in the future. To address this problem, we focused on stereo vision and a regression convolutional neural network (CNN) in order to estimate buckwheat plant height. MobileNet V3 Small, NasNet Mobile, RegNet Y002, EfficientNet V2 B0, MobileNet V3 Large, NasNet Large, RegNet Y008, and EfficientNet V2 L were modified into regression CNNs. Through a five-fold cross-validation of the modeling data, the modified RegNet Y008 was selected as the optimal estimation model. Based on the depth and contour information of buckwheat depth image, the mean absolute error (MAE), root mean square error (RMSE), mean square error (MSE), and mean relative error (MRE) when estimating plant height were 0.56 cm, 0.73 cm, 0.54 cm, and 1.7%, respectively. The coefficient of determination (R2) value between the estimated and measured results was 0.9994. Combined with the LabVIEW software development platform, this method can estimate buckwheat accurately, quickly, and automatically. This work contributes to the automatic management of farms.

Development of intelligent automatic water intake system for open-pit mine

In order to solve the problem that the automation level of water intake system in open-pit mine is relatively low and the phenomenon of fault shutdown occurs from time to time, this paper innovatively develops an intelligent automatic water intake system based on LabVIEW suitable for open-pit mine. On the basis of extensive investigation of field conditions and in-depth analysis of domestic and foreign open-pit mine water intake system, the overall design scheme of this system was put forward. The selection of electric gate valve, ball valve, various sensors and Siemens 1200 series PLC was completed. The system software which integrates system initialization subroutine, pump rotation start-stop subroutine, sensor polling subroutine, fault protection and alarm subroutine was compiled. The monitoring software of Upper machine was developed based on LabVIEW software platform. The field debugging and operation results show that the system realizes the real-time monitoring of the operation state of the water intake unit, the on-demand start and stop and the intelligent rotation control of the water pump, which greatly reduces the labor intensity of the workers, prolongs the service life of the equipment, greatly improves the intelligent operation and maintenance level of pumping units of open-pit mine, and lays a solid foundation for green mining.

Predicting Elderly Falls Using the Roll Factor in the "Smart Walk Trainer" Equipment for Body Weight-Balance Analysis

The imbalanced posture of the body is a potential risk of accidents in all ages that can be caused by a variety of reasons, including muscle weakness, aging-related deterioration in balance, or neurological problems, possibly see more problem for the elderly. Knowing the weight-bearing condition would be helpful to improve balance of the body to prevent the risk. The “Smart Walk Trainer” equipment has been developed for analyzing the imbalance weight-bearing conditions of both standing and walking manner. It consists of "Force Sensitive Resistor" (FSR) sensors to measure the weight-bearing of the foot, the controlling and processing system of the NI USB-6009 multifunction I/O hardware, and LabVIEW software. The study using this equipment aims to examine the differences between young and elderly subjects in terms of weight-bearing and balance assessment. The result showed the roll_factor of the elderly deviated greatly from the balance point (Right: Mean = -0.72, SD = 1.4; Left: Mean=0.78, SD=1.41) when compared to the young subjects (Right: Mean = 0.01, SD = 0.56; Left: Mean=-0.19, SD = 0.49) which corresponded to the risk of falling in the elderly. The equipment also provides specialists with enhanced clarity regarding weight distribution patterns, enabling them to identify any abnormalities and then provide targeted exercise recommendations to strengthen specific muscles and promote improved balance for fall prevention.

Develop an ECU for Controlling Fuel Injectors Using Arduino and LabVIEW for Training Purposes

The technology of electronic motor control is now advancing rapidly. Many studies and applications have been done on automatic system control in vehicles. The automatic fuel injection control system for automobile engines is a unique area of study and instruction in universities. The engine will run more efficiently, use less fuel, and emit fewer emissions when the fuel injection system is precisely controlled. It is challenging for student research to evaluate improvements to engine performance on real engine controller units (ECUs). Since their ECUs are already set for specific automotive duties, it is challenging to run tests by modifying the ECU's input parameters. In this study, a programmable ECU was created to explore the characteristics of the fuel injection system using the open-source, low-cost Arduino microcontroller. Using LabVIEW software, the algorithmic program computes and graphically simulates the injector characteristics. This study determines the injector opening time and fuel volume injected using the data from the intake manifold pressure sensor, lambda signal, engine temperature, throttle position, engine speed, and exhaust gas sensor. The primary objective of this study was not to replace a real ECU. It was more beneficial for students to be able to equip themselves with tools and apply methodologies to perform many experiments at home rather than utilizing commercially available ECUs at exorbitant rates, thanks to the development of a low-cost ECU based on Arduino and LabVIEW in this study.

PRESSURE SENSORS WITH METROLOGICAL SELF-CONTROL FUNCTION

The paper considers the advantages of using smart pressure sensors in systems for measuring and controlling technological objects. Modern intelligent sensors that, in addition to the measurement process, convert the measured signals into typical analog and digital values, perform self-diagnosis of their work, remotely adjust the measurement range, pre-process measurement information, and sometimes a number of fairly simple, typical control and management algorithms. They have interfaces to standard / typical field digital networks, which makes them compatible with almost any modern automation equipment, and allows you to communicate with these tools and receive power from the power supplies of these tools. The technical features of the use of modern intelligent pressure sensors are considered. The functions implemented by intelligent sensors, their structural features and characteristics of the main data transfer protocols used in automation systems where these sensors are used are analyzed. The correction of temperature errors of the pressure sensor, which works according to the scheme of the tensor-resistive bridge, with the use of the capabilities of the LabVIEW software environment, is considered. Keywords: Smart pressure sensors, data transfer protocols, sensing element, LabVIEW software.

棉花精量播种机铺膜质量监测系统设计与试验

To realize real-time monitoring of film laying process of cotton precision planter and improve intelligent level of cotton precision planter, based on advanced morphological filtering method and graphical programming of Labview software, a film laying quality monitoring system of cotton precision planter is designed. Using the Vision Assistant visual assistant, the system uses a color extraction function to convert colors to grayscale images. It uses LOOKup Table function and FFT filter function to perform grayscale transformation, binarization and advanced morphological filtering on it respectively. It then uses basic morphology to acquire various components in the plastic film image. It realizes the monitoring of parameters such as the width of the daylighting surface, the side length or seam length of the mechanical damaged part, and the width of the film edge covering soil. The performance test results of the film laying quality monitoring system showed that the system worked stably and reliably, the average monitoring accuracy of the width of the lighting surface and the width of the film edge covering soil reached more than 95%, and the average monitoring accuracy of the side length or the length of the seam at the mechanical damage part reached more than 88%. It solved the problems of difficulty in recognizing the similarity between the plastic film and the background interferer (soil, etc.) and could accurately detect the quality of the cotton film in real time. It effectively improved the operation quality and working efficiency of the cotton precision planter and met the practical requirements of film laying monitoring.

Study on the Influence of Synthesized Nano Ferrite Powder and Micron Ferrite Powder on Damping of a Single Degree of Freedom System

Magneto Rheological Fluid (MRF) damper has been opted as a promising semi active element of advanced suspension system. This work focuses on the damping nature of magnetorheological fluid under the influence of a magnetic field strength, size and shape of the of the iron oxide particles. A reduced scale single degree of freedom quarter car model with two stage magnetorheological damper, viscosity measurement setup, synthesized and commercially available Fe2O3 powders are used for the experimental study. An air cooled electro-dynamic shaker, Data acquisition system, accelerometers and the Lab view software acquires and analyzes the response of the quarter car model. X-ray Diffraction and Scanning electron microscopy characterize the morphology of iron oxide particles. The vertical acceleration, the displacement, the transmissibility ratio and the damping characteristics are analyzed based on the response of the top plate at different frequencies of base excitation. The results show that the magnetorheological fluid made with nano iron oxide powder has better damping characteristics than that of micron sized iron oxide powder

PENGARUH ARUS EKSITASI TERHADAP ARUS STATOR MOTOR SINKRON 3 FASA DENGAN VIRTUAL INSTRUMENT

The three-phase current value of a synchronous motor has a great impact on its long-term reliability and performance under load. Therefore, maintenance and monitoring must be performed to determine the performance of synchronous motors. A virtual instrument and its LabView software can be used as a method to determine the operating current value of a synchronous motor. The device used in the study contains a synchronous motor as a load, and his LabView-equipped controller is used to execute commands during synchronous motor testing. NI MyDAQ is used as an input to the controller prior to using LabView, so it can be customized for use as an input to motors and controllers. Power is supplied by adjusting the motor input voltage to 380 volts and the controller input voltage to 220 volts. The purpose of the research is to develop tools and simulation software for synchronous motors that use voltage regulators to react to variations and determine minimum and maximum voltage values to determine motor performance. As a result of examination, the motor output reached a maximum current value of 0.4A at idle and a maximum controller current value.

Virtual practicum for research of mathematical algorithms using Digital Signal Processing

The article describes an approach to the organisation of a virtual laboratory practicum for research in the Digital Signal Processing (DSP) field. Such an approach may be useful in implementing a part of the educational process in a distant mode. The laboratory setting simulation method based on LabVIEW software was used to solve the research tasks.
 It is advisable to create and implement this integrated educational solution — virtual laboratory practicum — in the educational process of universities that train engineers. It will allow students to have laboratory and practical training to improve specialists’ qualifications and carry out control activities. Using such an environment will allow extension course students, teachers, and trainees to perform assigned tasks without time limit, both in virtual form and in the form of training before working with real equipment. It will also allow students to carry out additional research on their own in the Digital Signal Processing sphere, which will increase their interest.

Development and assessment of a novel servo-controlled spraying system for real time adjustment of the orientation angle of the nozzles of a boom sprayer.

Pesticide spray drift, which is the movement of pesticide by wind to any location other than the intended area, is hazardous to human, animal, food safety and environmental health. It is not possible to completely eliminate spray drift during spraying with field crop sprayers, but spray drift can be reduced by developing new technologies. The most common methods to reduce spray drift are carrying the droplets to the target with air-assisted spraying, electrostatic spraying, preferring air induction nozzles and boom shields. With these methods, it is not possible to make a change on the sprayer depending on the wind intensity during spraying. In this study, a novel servo-controlled spraying system was designed and developed to change the nozzle orientation angle in the reverse direction of the wind current to reduce the ground spray drift in real time and automatically in a wind tunnel. The displacement in the spray pattern (Dc ) was used as a ground drift indicator for each nozzle to evaluate the spray drift. The developed system, operated by LabVIEW software, calculated different nozzle orientation angles depending on nozzle types, wind velocities and spraying pressures. Orientation angles calculated for different test conditions achieved in reduction were up to 49.01% for XR11002 nozzle, 32.82% for AIXR11002 nozzle and 32.31% for TTJ6011002 nozzle at 400 kPa spray pressure and 2.5 m s-1 wind velocity. The developed system, which has a self-decision mechanism, calculated the nozzle orientation angle instantaneously according to the wind velocity. It has been observed that the adjustable spraying nozzle system, sprayed with high precision towards the wind in the wind tunnel, and the developed system have advantages compared to conventional spraying systems. This article is protected by copyright. All rights reserved.