No-load Test Research Articles

Innovative Design and Fast Iterative Manufacturing of Micro-Turbojet Engines at Low Cost

The turbojet is the foundation of the gas turbine engine, which combines knowledge of fluid dynamics, thermodynamics, heat transfer, mechanical design, manufacturing, and jet propulsion. This paper describes in detail the inspiration source, design process, fluid dynamics analysis, manufacturing steps, ignition test method and test process of small jet engines. 3D modeling software SolidWorks was used for the preliminary modeling and fluid simulation was performed to optimize the design. Part of the model was produced by 3D resin printing technology, and the turbine engine model was driven by compressed air for no-load testing to verify the feasibility and structural stability of the resin model. Subsequently, some parts were printed with metal materials, combined with traditional machining techniques to complete production and assembly, and finally successfully carried out static ignition tests. The micro turbojet engine designed in this paper has successfully achieved static ignition test and demonstrated the feasibility of efficient development with limited resources and low manufacturing cost. This exploration proves the feasibility of rapid iteration technology route. The market prospect and manufacturing cost of micro turbojet are also analyzed.

Pengaruh Ukuran Kawat dan Jarak Alur Stator Terhadap Nilai Arus Starting Motor Induksi 3 Fasa

<p><strong>The use of electric motors in industry often experiences damage caused by several things, including high <em>starting</em> current surges, overload or full load, loss of one phase in the electric motor, and other causes of damage to the 3-phase motor. The main problem that occurred in this research was damage caused by high <em>starting</em> currents, where in the case study many 3-phase motors were used to drive factory machines. The use of 3-phase motors to drive factory machines is often damaged by unstable currents in the machines. This is because the time and workers for monitoring are very minimal and the materials for repairing machines are inadequate. In this way, the solution for repairing a 3-phase motor is to replace and rewind the damaged motor so that it can be used again. This research aims to find a solution on how to reduce high <em>starting</em> currents in 3-phase motors by utilizing the influence of replacing damaged induction motor components as well as repair methods used in <em>starting</em> when <em>rewinding</em> 3-phase motors. The research results from the groove distance with a wire size of 0.90 mm showed that the groove distance of 9, 9, 8 was 29.3, and at a distance of 10, 10, 10 it had a current of 31 A with no-load testing and recommended groove distances of 10, 10, 10. Next, testing wire sizes of 0.75 mm and 0.90 mm with distances of 10, 10, 10, and 9, 9, 8 without load obtained 26.1 A and 27.4 A while 0.90 mm was 30, 7 A and 28, 1 A. The load was 43.5 A and 43.9 A, while 0.90 mm was 51.3 A and 49.3 A. From the test results, the largest current decrease was at a distance of 10, 10, 10 with a wire size of 0.75 mm. </strong></p><p><strong>Keyword - <em>3 Phase Induction Motor, Groove Spacing, Starting, Wire Size.</em></strong></p>

Effect of gadolinium particle size on the performance of a magnetic refrigeration system

This study investigates the influence of gadolinium particle size on Magnetic Refrigeration (MR) system performance. Understanding how particle size of Magnetocaloric Materials (MCMs) within a fixed Active Magnetic Regenerator (AMR) volume affects cooling capacity and Coefficient of Performance (COP) is crucial for MR system design. However, research on this influence, especially using an experimental approach, has been surprisingly rare. This is despite the importance of considering various factors like total MCM mass, porosity, and pressure drop. The particles were categorized into five cases based on their sizes, which ranged from 0.50 to 2.00 mm opening sizes of the meshes. The magnetic field source produced the maximum 0.815 and 0.069 T for magnetization and demagnetization, respectively. A total four of AMRs were installed in the MR system for each case study. First, the porosity of the AMRs mostly increased as finer particles were filled up. This led to a tendency of lower mass of the MCMs in the same volume of the AMRs with smaller particles. Second, the temperature span showed the most outstanding value of 11.1 K in the 0.20 utilization factor using the finest particles (0.50–0.85 mm) in a no-load test. It also achieved a wider 8.3 K temperature span under 3.8 W of thermal load, outperforming the other sizes despite the least total mass of the MCMs. The major contribution to these results was the larger heat transfer area between the MCMs and heat transfer fluid inside the AMRs with the smaller particles. Nevertheless, the case with the second-finest particles (0.80–1.18 mm) exhibited the highest COP of 2.6, due to their favorable combination of moderately significant cooling capacity, reasonably small particle size, and elevated porosity that reduced pumping power demand and magnetic force.

A method to develop a high-fidelity gearbox thermal model based on limited temperature measurements

This paper presents a method to create a high-fidelity gearbox thermal model. A hybrid analytical-empirical model is presented, it is based on the thermal network approach and experiments are used to determine some unknown parameters of the model. A test campaign was led on a four stages helical gear unit and consisted of cooling measurements, no-load tests and loaded tests. These experiments were performed under different rotational speeds and loads. The results show that the developed thermal model provides an accurate prediction of the thermal behavior of different components of the gearbox (namely rolling element bearings and oil) by only using few thermal sensors. These results are corroborated by power losses measurements which demonstrate that the model can estimate the gear unit efficiency.

Numerical investigation in an indirect concentrated solar thermal dryer incorporated with discrete mirrors

The objective of this study is to promote the production for small scale drying industries by reducing the drying time of agricultural products. Discrete mirrors are arranged in a parabolic fashion and used as reflectors to concentrate the incoming solar radiation. The available solar flux is doubled by using this discrete arrangement of mirrors. Optical simulations are performed using Monte Carlo Ray tracing algorithm and various effects were studied to select the best arrangement of mirrors. The concentrated type dryer has been numerically simulated and no-load testing is performed using ANSYS Fluent. Simulation is carried out for various inlet velocities from 0.1 to 1 m s−1. The concentrated setup operates between 0.4 and 1 m s−1 of velocity to obtain temperature in the range of 40–70 °C. The maximum and minimum increase in outlet temperature is 23.52% and 2.87%, and the Nusselt number enhancement is 18.94% and 4.15%, respectively.

Condition Monitoring of a Three-Phase AC Asynchronous Motor Based on the Analysis of the Instantaneous Active Electrical Power in No-Load Tests

This paper experimentally reveals some of the resources offered by the instantaneous active electric power in describing the state of three-phase AC induction asynchronous electric motors (with a squirrel-cage rotor) operating under no-load conditions. A mechanical power is required to rotate the rotor with no load, and this mechanical power is satisfactorily reflected in the constant and variable part of instantaneous active electric power. The variable part of this electrical power should necessarily have a periodic component with the same period as the period of rotation of the rotor. This paper proposes a procedure for extracting this periodic component description (as a pattern by means of a selective averaging of instantaneous active electrical power) and analysis. The time origin of this pattern is defined by the time of a selected first passage through the origin of an angular marker placed on the rotor, detectable by a proximity sensor (e.g., a laser sensor). The usefulness of the pattern in describing the state of the motor rotor has been demonstrated by several simple experiments, which show that a slight change in the no-load running conditions of the motor (e.g., by placing a dynamically unbalanced mass on the rotor) has clear effects in changing the shape of the pattern.

Improving cross-axis wind turbine performance: A Lab-scale investigation of rotor size and blades number

Horizontal and vertical-axis wind turbines have long been used to generate electricity in open areas by utilizing horizontal wind flow. Under certain conditions, for example in multi-storey building areas, wind flows not only from horizontal but also vertical directions. Therefore, this research aims to develop a new turbine model known as a cross-axis to capture wind flow from horizontal and vertical directions around multi-storey buildings. Design, production, testing, and performance analysis are carried out in this project. The model is designed with a rotor diameter of 700 mm which has 5 vertical blades and 10 horizontal blades with a total height of 600 mm which is divided into two configurations, upper and lower. Performance analysis was carried out using a wind tunnel in a conditioned laboratory both in loaded and unloaded conditions. The output power of the wind turbine is measured using an electric dynamometer. The no-load test was applied to determine the time required to move from non-rotating to constant rotation at different speeds and horizontal blade angles. Meanwhile, the load test is used to determine the power coefficient at various speeds, horizontal blade pitch angles, and loads. The research results show that the time required to move from a non-rotating speed to a constant speed is influenced by the wind speed and the blade pitch angle. The power coefficient was also observed to be influenced by wind speed, blade pitch angle, and load. Furthermore, the shortest time to reach a constant rotation speed is around 20 seconds at a wind speed of 7.6 m/s and a blade pitch angle of 25°. The maximum power coefficient of the wind turbine was obtained at 5.2% at a wind speed of 7.6 m/s, blade pitch angle of 25°, and tip speed ratio of 0.5.

Research on electromagnetic torque and fault parameter identification of pumped storage machine under power generation state based on optimized network parameter method

Because of the complex and frequent multi-operation conditions of pumped storage machine and the difficulty of its numerical analysis, an optimized network parameter method (ONPM) is given to identify the second harmonic electromagnetic torque of large salient-pole generators. Different from the former research which only considers the positive and negative sequence components, the second harmonic electromagnetic torque of pumped storage machine under power generation state is identified in neutral point grounded system, which are displayed by the lumped parameters. Then, in order to test the validity of the theoretical analysis among power generation salient-pole generators, the finite element model of 300 MVA pumped storage machine under power generation is established. Through the comparison and analysis of the finite element result data with the actual experimental data in the steady state of no-load test and short-circuit test, the correctness of the finite element model is completely verified. Finally, in the case of small current asymmetry and large current asymmetry, the second harmonic electromagnetic torques obtained by ONPM and finite element method (FEM) are found respectively, and their relative errors are elaborately displayed. The results display that ONPM can accurately identify the electromagnetic torque parameters which indicate the specific operation and fault state of pumped storage machine under power generation state. This fault parameter identification has practical significance for monitoring and improving the operation state and stability of large salient-pole generator.

Estimation of Lithium-Ion Battery Health in Electric Bicycles Using Internal Resistance Measurement Method

This study evaluates the performance of a 36 Volt 10 Ah battery in an electric bicycle with a 350-Watt Brushless DC (BLDC) motor as an environmentally friendly alternative to overcome the negative impacts of motorized vehicle use in Indonesia. In addition, this study measured the State of Health battery’s value of internal resistance, which is different from other studies that use capacity fading. With a focus on maximum travel distance and travel time, experiments were conducted without load and with a 70kg load. The no-load test was conducted only once, resulting in a travel time of 600 minutes and a distance of 330.1 Km. Although the battery was not discharged, the results were not in line with expectations, so the no-load test was only conducted once. In the 70kg load test, six trials were conducted with variable measurements of distance, battery voltage, and battery resistance. Results showed variations in distance between 50.7 km and 53.1 km, and travel time between 151 and 160 minutes. The battery voltage varied from 31.316 Volts to 31.850 Volts. The resistance in the battery also showed an increase of about 0.0001 ohms from 0.1132 ohms to 0.1139 ohms. Overall, the results from the study showed that as time and usage progressed, the battery voltage and internal resistance values tended to increase, while the distance and travel time tended to decrease. The internal resistance measurement method proved to be effective in assessing battery health as the State of Health value decreased throughout the experiment.

A Novel Application of a Parabolic Trough Collector for Solar Cooking, Thermal Storage and Thermoelectric Energy Harvesting

The work here involves designing a solar solution for safe cooking and low-power generation intended for application in rural communities. A system was developed that combines Concentrated Solar Power (CSP) and Thermoelectric Generator (TEG) technologies. The CSP provides heat for clean cooking, and the excess heat is harvested by the TEG and converted into electrical power. A storage tank was integrated into the system, storing excess energy and serving as the medium for indirect cooking and supplying the heat required by the TEG. The Parabolic Trough Collector, having a resulting average thermal efficiency value of 21%, provided the useful energy to store over 4.25kWh of heat in the tank during the initial testing of the system. The TEG developed has four Peltier modules and attained 23W - over 80% of their rated power and a maximum conversion efficiency of 4.14% at a temperature difference of 220°C between the cold and hot surfaces of the generator. During the experiment, the TEG operation was limited to only four hours before subjecting a no-load test to assess the total energy storable from the system. The initial results from the test carried out here show the potential of the hybrid system in storing energy in the tank for an extended period and simultaneous operation of the TEG. Excess energy stored can be utilised further in providing the heat required for cooking or further electrical power generation.

Experimental performance investigation of a novel movable greenhouse solar dryer for drying potato slices in the arid climate of India

In the present study, the drying of 5 kg potato slices in a small-size movable greenhouse solar dryer is performed experimentally to determine its performance. The study was carried out at Ajmer, India, in May 2022, and the results demonstrated that the dryer could heat the air to a maximum temperature of 59.5°C with a daily average air temperature of 56.2°C under the no-load test for an average ambient temperature and a solar intensity of 39.8°C and 676 W/m2. Under load, the moisture content of potato slices was reduced to 6.3%, 21.1% and 55.9% from an initial moisture content of 85% (w.b.) in the greenhouse solar dryer, open sun and under shade, respectively, in 5 h. However, for complete drying up to 6.3% moisture content, open sun drying and shade drying took 6 and 9.5 h, respectively. Maximum exergy inflow and outflow of 13.2 W and 9.2 W and maximum exergy efficiency of 69.6% were attained during the drying. The payback period for the developed greenhouse solar dryer was 0.35 years for an expected life of 10 years. Also, the efficiency of the developed greenhouse dryer under load was 26.9%.

Kinerja Inverter 500 W untuk PLTS Skala Kecil

At Electrical Engineering Department of Politeknik Negeri Malang, there is an EBT learning module in the form of solar panel with small capacity, namely 80 Watts. The only load that can be supplied is DC load because there isn’t installed inverter. Therefore, it is necessary to determine the inverter specifications to be installed in small-scale solar system. This research aims to determine the specifications and test the performance of a 500 W inverter integrated with a 50 Wp solar system. Also analyze power quality parameters and efficiency when connected to various load. The test method is no-load and load testing with the parameters measured including current, voltage, power, frequency and THD. Analysis was also carried out on the correlation between efficiency and loading and inverter pins with THDV and THDI. In the no-load test, the inverter output voltage waveform was obtained as a pure sine wave with a frequency of 50.10 Hz. In testing the LED and LHE loads, it was found that the inverter was good for use when the load was 50-80% of its capacity. The lowest THDV value is at a Pin value of 26 W, namely a THDV value of 0.009%. The highest THDV on the Pin is 130 W with THDV value of 1.9%. The lowest THDI value is at Pin 9.75 W, namely 27.6%. The highest THDI value on the 130 W Pin is 80.9%. The THD limit is still within the IEEE standard limit, namely 5% - 10%.

Feasibility of Six Metaheuristic Solutions for Estimating Induction Motor Reactance

Industry is the primary application for induction machines. As such, it is essential to calculate the induction devices’ electrical properties accurately. With DC testing, no-load rotor tests, and locked rotor tests, one may empirically evaluate the electrical variables of induction motors. These tests are expensive and difficult to conduct, however. The information supplied by machine makers can also be used to accurately approximate the equivalent variables of the circuits in induction machines. This article has successfully predicted motor reactance (Xm) for both double- and single-cage models using artificial neural networks (ANN). Although ANNs have been investigated in the literature, the ANN structures were trained to use unmemorized training. Besides ANN, six other approaches have been suggested to address this issue: heap-based optimization (HBO), leagues championship algorithm (LCA), multi-verse optimization (MVO), osprey optimization algorithm (OOA), cuckoo optimization algorithm (COA), and sooty tern optimization algorithm (STOA). The efficaciousness of the suggested approaches was compared with each another. Regarding the obtained outcomes, the suggested MVO- multi-layer perceptron (MLP) technique performed better than the other five methods regarding reactance prediction, with R2 of 0.99598 and 0.9962, and RMSE of 20.31492 and 20.80626 in the testing and training phases, respectively. For the projected model, the suggested ANNs have produced great results. The novelty lies in the mentioned methods’ ability to tackle the complexities and challenges associated with induction motor reactance optimization, providing innovative approaches to finding optimal or near-optimal solutions. As researchers continue to explore and refine these techniques, their impact on motor design and efficiency will likely grow, driving advancements in electrical engineering.

Design and Implementation of a Three-phase Asynchronous Motor Intelligent Test System

Background: The locomotive traction motor has gradually shifted from DC motors to AC motors in high-speed railways, and the traction motor needs to be regularly maintained and tested frequently. Objective: The aim of this study was to test the related motor performance by obtaining and analyzing motor data from the test according to the standard "Three-phase Asynchronous Motor Test Method (GB-T 1032-2012)". The performance of the tested motor has been evaluated to meet the relevant requirements of the application. Thus, reasonable and scientific references have been offered for the maintenance and repair of the motor. Methods: A three-phase AC asynchronous motor test system based on LabVIEW and an AC power dynamometer was constructed based on the needs of the factory and type test of a three-phase AC asynchronous motor. Ambient temperature measurement, insulation resistance measurement, DC resistance measurement, no-load characteristics test, overspeed test, blocking characteristics test, load test, and temperature rise test have been carried out. The data on voltage, current, speed, power, and so on, have been collected. A 125 kW three-phase asynchronous motor was tested with the designed system, and the parameters obtained from the system were compared with those from the motor labels. Results: The three-phase AC asynchronous motor test system was designed based on LabVIEW and AC dynamometer operating on an industrial computer with a precision measuring instrument. The most advanced virtual instrument technology was used to combine the powerful data computing and processing ability with the measurement and control ability of instrument hardware. The software proved to be able to acquire data display, control, storage, and analysis simultaneously. In addition, a high degree of intelligence, an automatic motor start and stop control, automatic synchronous acquisition of test data, automatic data processing and calculation, and automatic test report generation and printing function were covered in this system. The simulated results of the system agreed well with the actual performance of the three-phase asynchronous motor, and helped the motor to operate well. Conclusion: The designed testing system exhibited a high automation ability, reliability, and accuracy. It proved to be a time and manpower-saving technical method, improving the actual test efficiency, and helped to reduce labor intensity dramatically.

Numerical and experimental comparison of the no-load losses in the different grain-oriented electrical steel materials

One of the critical pieces of equipment for power transmission and distribution is the transformer. The operation of the transformers is essential for the power supply's continued stability and efficacy. With an increase in rated power, the transformer's manufacturing time, cost, and size all go up. The core loss of the transformer is still a big concern for transformer designers. Minimization of the core loss in the transformer is also important for transformer manufacturers. Accurate evaluation of the core loss is also important for optimizing the magnetic design of the transformer. Evaluating the no-load losses of the new magnetic materials also needs a reliable technique as conventional analytical methods are limited and difficult to implement. In this study, the use of different materials for manufacturing the core of the transformers is used to minimize and compare the no-load losses. In this work, different types of grain-oriented silicon steel and lamination thickness are used for core materials to evaluate and minimize the core losses using numerical analysis. The results of the two different materials are also verified by a no-load experiment test performed on the prototype transformers. Considering the finite element analysis results of the different materials, core losses were calculated as 66.35 % lower in the M-H0 material than in the reference M-6 material. To increase transformer efficiency, a material with low no-load losses can be used. The results of this work will give guidelines to the transformer designers for selecting core materials to improve the efficiency of the transformer.

The Nelder–Mead Method-Based Improved Parameter Estimation of Single-Phase Induction Motors

Abstract This work presents a comprehensive method for precisely determining the equivalent circuit characteristics of single-phase induction motors (SPIM), including both direct and indirect steps. First, a DC test, a no-load test and a locked-rotor test are performed to ascertain the primary electrical characteristics of both the main and auxiliary windings. Next, the indirect phase consists of iteratively modifying the mechanical characteristics, such as the inertial moment and friction factor, in a motor simulation model in Simulink until they match the previously determined electrical parameters. In addition, the motor parameter estimate process can be improved by applying the Nelder–Mead optimisation approach, which eliminates the need to calculate partial derivatives of a cost function. The study also applies the scalar control to the SPIM. Ultimately, the efficacy of the suggested methodology is confirmed through a comparison of simulated and actual outcomes.

Development of an Arduino-Based Monitoring System for Pico-Hydro Power Plants

One of the problems faced by people in remote areas is the unavailability of infrastructure for power distribution. The available rivers can be used to generate electrical energy. The developed systems must be inexpensive, easy to operate and reliable. It should be equipped with a monitoring system to display the output. This study aims to develop a pico-hydro power plant and its monitoring system to meet the power needs in remote areas. The power plant consists of a small turbine, a generator, a battery charger, and a battery while the monitoring system consists of a current sensor, voltage sensor, Arduino Nano, and a display. The system was tested in the laboratory and the river. The test of the DC voltage sensor, AC voltage sensor, and DC current sensor produces errors of 1.88%, 5.24%, and 1.25% respectively. The no-load test shows that the system generates a voltage of 12.77 - 16.6 VDC and 224 - 245 VAC when rotated at 696 - 1363 RPM. When loaded, the system generates voltages of 12 - 12.8 VDC and 225 - 247 VAC when rotated at 1332 - 1564 RPM. The developed system can be used by people in remote areas to meet their power needs.

POTENSI PEMBANGKIT LISTRIK TENAGA MIKROHIDRO DENGAN TURBIN KAPLAN PADA SUNGAI MAMBAL

The Kaplan turbine is a type of reaction turbine that utilizes potential energy to generate motion energy. The Kaplan turbine is very suitable for use in places where the head is low but requires a large discharge. Currently Kaplan turbines are still very little used in Indonesia, especially in Bali. So that it is difficult to obtain specification data relating to Kaplan turbines. Many prototypes are made on a laboratory scale to get maximum results. This study discusses the results of the output voltage, current, power, and efficiency that can be produced by a PLTMH prototype using a Kaplan turbine. This study also discusses the analytical study of the existing hydropower potential, namely, the water flow rate and the height of the water fall (head) of the Mambal River water flow. This prototype test uses a water flow rate of 6 L or 0.006 m^3/s with a guide vane angle of 30 º and a total of 5 runner blades. In the no-load test, the average turbine rotation before being coupled to the generator was 556 rpm, the average turbine rotation after being coupled was 353 rpm. The average result of the largest turbine rotation is 303 rpm, the largest generator rotation result is 499 rpm, the largest generator voltage average result is 5.60 volts, the largest average generator current result is 0.61 Ampere, the result the largest average generator powerKey Words : Prototype of PLTMH, Kaplan Turbine, Water Discharge, Output producedis 1.93 Watt, the largest torque is 0.14 Nm, the largest PLTMH efficiency is 5.1%.

Experimental Study on No-Load Loss Characteristics of an Alternating Current Excitation Motor

An AC excitation power supply will produce a series of harmonic currents in motors compared to the conventional power supply, increase the time harmonic component, and then generate a harmonic magnetic field; harmonics will cause motor vibrations and noise in the motor and will produce a corresponding additional loss, increasing the motor temperature rise; these key technical problems need to be solved in domestic pumped storage AC excitation motor engineering applications. Herein, the no-load loss characteristic test of a 3 MW alternating current excited motor was mainly carried out using a test prototype of the 3 MW alternating current excitation motor. Further, with the aid of the finite element method, the numerical study of the no-load loss characteristics of a 3 MW alternating current excited motor was performed. The relationship between the key factors such as the no-load characteristics, no-load loss characteristics, and constant loss and voltage per unit value is analyzed, and the variation law of the no-load core loss of motors under different loads is explored. The results demonstrate that, under no-load conditions, when the applied voltage was less than the rated voltage, the voltage was proportional to the current. When the applied voltage was more significant than the rated voltage, the current increased as the voltage increased, but the relationship between the two was no longer proportional. The constant loss of the motor maintained a linear relationship with the square of the unit value of the voltage scale. When the square of the unit value of the voltage scale was zero, the loss was equivalent to the wind friction loss under no load. The core loss increased with the increase in load, and the greater the load, the faster the increase rate of the motor iron loss. The comparison deviation between the test and simulation results was less than 10%. The simulation and experimental results verified the effectiveness of finite element modeling and the finite element calculation method.

MULTILEVEL INVERTER SIMULATION 9 LEVEL H-BRIDGE TOPOLOGY WITH HYSTERESIS CONTROL

Inverter is an electronic circuit to convert DC power source into AC. In general, the inverter will produce a relatively large Total Harmonic Distortion (THD) value so that it will result in damage to electronic devices, to minimize this, a multilevel inverter is made which can reduce the THD value by increasing the level using the switching method. In this research a 9-level cascaded H-Bridge topology cascaded H-Bridge topology simulation is designed to identify the output of this multilevel inverter. The addition of R, RL, RC, RLC, and induction motor loads affects the THD value. To calculate THD, we use Fast Fourier Transfer (FFT) on MATLAB Simulink. The no-load test results produced a THDv of 13.90%. In the R load test the resulting THDv and THDi values were 13.91%. In the RL load test it produces a THDv value of 13.91%, and a THDi of 0.2% to 0.12%. In the RC load test it produces a THDv value of 13.91% to 13.85%, and a THDi of 15.55% to 70.53%. The RLC load test produced a THDv value of 13.91% and the lowest THDi was 0.06%. In the load test, the induction motor produces a THDv value of 13.91% to 13.92%, and a THDi of 0.88% to 0.25%.