BASIC ALGORITHM FOR INDUCTION MOTORS ROTOR FAULTS PRE-DETERMINATION

Due to importance of squirrel cage induction motor in today’s industry, the fault detection on that type of motors has become a highly developed area of interest for researchers. The electrical machine is designed for stable operations with minimum noise and vibrations under the normal conditions. When the fault emerges, some additional distortions appear. The necessity to detect the fault in an early stage, to prevent further damage of the equipment due to fault propagation, is one of the most important features of any condition monitoring or diagnostic techniques for electrical machines nowadays. In this paper possible induction motors faults classified and basic algorithm for rotor faults pre-determination is presented

Design and Prototyping of Directly Driven Outer Rotor Permanent Magnet Generator for Small Scale Wind Turbines

The paper is about the design and prototyping of directly driven outer rotor permanent magnet generator for small scale wind turbine. In the paper, the initial design of the generator is given. Main issues and phenomena affecting the generator design, such as cogging torque and its reduction possibilities, selection and demagnetization risk assessment of permanent magnets, machine losses and thermal analysis, are described. Test results of prototype generator construction and final parameters are also presented. The necessity of further study is pointed out

Flood prevention through condition monitoring of pumping stations

This paper investigates the possibility of fault detection of Centrifugal Pump System (CPS). Nowadays, river floods are one of the major challenges for modern society. Despite the significant achievements in the river flood forecasting and early warning systems, there is still a need of effective tools and measures either to prevent the floods or at least to decrease its negative impact on the agricultural and urban areas. This information can be used by storm-water and flood pumping stations to avoid the damage that can occur after the flood. One of the main issues is the condition monitoring of these pumping stations. In some cases, these stations are not ready for an instant response to natural disasters like floods. In order to prevent unexpected failures of the electric drives or the pumps themselves, it is necessary to monitor the state of the equipment. The proposed method is aimed to create a smart monitoring system for fault diagnosis of pumping stations. It can be helpful to avoid floods especially near the border of Estonia and Russia because floods generally occur in border areas like Tartu town and county, Lake Peipus, Pskov town and county, mining areas in North-East Estonia

Intelligent functions development on autonomous electric vehicle platform

Autonomous driving is no longer just an idea of technology vision instead a real technical trend all over the world. The continuing development to a further level of autonomy requires more on mobile robots safety while bringing more challenges to human-vehicle interaction. A robot autonomous vehicle (AV) as a research platform operates an experimental study on human-AV-interaction (HAVI) and performs a novel method for mobile robot safety assurance. Not only autonomous driving technology itself but human cognition also performs an essential role in how to ensure better autonomous mobile robot safety. A Wizard-of-Oz experiment in the university combing a survey-based study indicates public attitudes towards driverless robot vehicles. HAVI experiment have been carried through light patterns designed for experiment. This paper presents an attempt to investigate humans’ acceptance and emotions as well as a validation to bring the mobile robot vehicle to a high-level autonomy

Library of Samples for E-Vehicle Propulsion Drive Tuning

The majority of testing cycles for the vehicle comparison is the long-term cycles and could not be used for the short-term transient mode imitations. Also, all the used nowadays testing cycles were designed for internal combustion engine vehicles and take into account not only energy and mechanical aspects, but also pollution and internal combustion engine characteristics. The paper presents a collection of sample signals developed to explore and simulate multiple system impacts to emulate different reference and load conditions. The study describes the major driving modes, such as the constant-speed cruising, speeding up and braking, typical parking regimes, uphill and downhill motion, and taking a turn. The developed testing equipment and software are described. Responses of the battery vehicle drives to the changeable controls and disturbances were studied in the laboratory test bench. The set of test cycles prepared in the frame of the ABB control arrangement was applied to the system evaluation and assessment. The developed methodology can be recommended to adjust the electric drives for different kinds of testing equipment. Experimental validation of the described approach has demonstrated the broad possibilities for the steady-state and transient modes of vehicle quality evaluation. It suits for recommendations that can be made with regard to the tuning of the drive regulators, control looping, sensor allocation, and feedback arrangements

Hilbert transform, an effective replacement of park's vector modulus for the detection of rotor faults

The rotor-associated faults in electrical machines make the biggest most proportion of overall faults. Most of these faults particularly broken rotor bars, modulate all three phases of the stator in a symmetrical way. This fact makes Park's vector an effective tool to detect them at the incipient stage. As compared to other diagnostic algorithms, Park's vector is gaining more popularity for its noninvasive nature and comparatively simple mathematical model and a wide range of usage. In this paper, the broken rotor bars of a three-phase squirrel cage induction motor is detected using Park's vector modulus and Hilbert transform. It is shown that the Hilbert transform can be used to get the same kind of results as of Park's vector modulus but with a considerable decrease in data size required for analysis. The fault is first simulated using finite-element-based software for the study of its impact on various performance parameters and then Park's vector modulus and Hilbert transform are used to compare their required number of sensors and data size.Peer reviewe

Determination of natural convection heat transfer coefficient over the fin side of a coil system

This paper presents a thermal study to define the appropriate correlations allowing the determination of the convective heat transfer coefficient over large parallel rectangular fins for a permanent magnet synchronous generator coil. For this purpose, an experimental setup is developed for both horizontal and vertical orientations and different input currents. The experimental results are compared with the analytical method, based on correlations proposed in the literature, which are generally limited for a small range of heat sinks. The results show that the analytical calculation based on Jone's correlation for the horizontal case and Tari's correlation for the vertical case, have good agreement with the experimental data. These correlations are experimentally validated for the calculation of the natural convection coefficients of large rectangular fins arrangement too.Peer reviewe

IoT Based Tools for Data Acquisition in Electrical Machines and Robotics

Funding Information: This research has been supported by the Estonian Research Council under grant PSG453 “Digital twin for propulsion drive of autonomous electric vehicle”. The research leading to these results has received funding from the [EEA]/ [Norway] Grants 2014-2021, “Industrial Internet methods for electrical energy conversion systems monitoring and diagnostics”. Publisher Copyright: © 2021 IEEE.Internet of Things (IoT) has seen rapid growth along with the recent advancement in information and communication area. With the introduction of new technologies, it has become easier to interact with machines and communicate with them. IoT cannot only be used to communicate and control these machines but it can be used further in diagnostics related to the detection or prediction of faults. As the infrastructure is advancing at a rapid speed, it has also become a need of the hour to update the way diagnostics and maintenance are carried out over them, to not only save cost but also time. This paper is a work in progress, where these opportunities will be explored in the context of IoT industrial applications.Peer reviewe

Steady-state thermal model of a synchronous reluctance motor

This paper presents an analytical thermal model of a synchronous reluctance motor (SynRMs) to predict the temperature of its different parts. For the analytical calculation, a lumped parameter thermal network (LPTN) is developed and analyzed. To validate the developed model, measurements are carried out on an experimental setup including the analyzed machine. Finally, the test results are compared with the analytical results to assess the accuracy of the model.Peer reviewe