The aim of the presented investigation is to explore time gap between an anomaly appearance in continuously measured parameters device and a failure, related end remaining resource device-critical component. In this investigation, we propose recurrent neural network model series healthy detect anomalies by comparing predicted values with ones actually measured. An experimental was performed on SCADA estimates received from different wind turbines failures. A used predict temperature gearbox....

In this article, the authors conducted electromagnetic radiation research on telecommunication base stations using Unmanned Aerial Vehicles (UAVs). Until now, UAVs have only been capable of performing visual inspections, without investigating electrical parameters. The suggest a method that involves spectrum analyzer and an automated flight with predefined trajectory around to conduct research, which is used by regulatory organizations. Two different types were in work: drone fixed-wing...

The technologies of Unmanned Aerial Vehicles (UAVs) have seen extremely rapid development in recent years. UAV are being developed much faster than the means their legislation. There been many detection and neutralization proposed research; nonetheless, all them serious disadvantages. essential problems UAVs is small size UAVs, weak radio wave reflection, signal, sound emitting. main problem conventional countermeasures short range. authors propose concept airborne counter-UAV platform...

Digital twins (DTs) have been implemented in various applications, including wind turbine generators (WTGs). They are used to create virtual replicas of physical turbines, which can be monitor and optimize their performance. By simulating the behavior turbines real time, DTs enable operators predict potential failures maintenance schedules, resulting increased reliability, safety, efficiency. WTGs rely on accurate speed measurements for safe efficient operation. However, sensors prone...

Keywords: Electrical power systems, Support vector machines, Random Forest, Machine learning, Wavelet transform, Transmission lines fault, quality, Short circuit, Classification of faults, Localization Decision trees, Ensemble K-nearest neighbors.

The development of unmanned aerial vehicle (UAV) technologies provides not only benefits but also threats. UAV are developing faster than means detecting and neutralizing them. Radar technology is one the detection which longest range. Today’s market low-cost solid-state marine radar working on FMCW pulse-compression principles operation. Despite such radars having attractive features, they were designed for detection. Although optimal, could be used possibility UAVs by was investigated...

The reliable operation of power transmission networks depends on the timely detection and localization faults. Fault classification in electricity can be challenging because complicated dynamic nature system. In recent years, a variety machine learning (ML) deep algorithms (DL) have found applications enhancement fault identification within networks. Yet, efficacy these ML architectures is profoundly dependent upon abundance quality training data. This intellectual explanation introduces an...

To monitor and handle big data obtained from electrical, electronic, electro-mechanical, other equipment linked to the power grid effectively efficiently, it is important them continually gather information on line integrity. We propose that transmission analysis collection tools like digital meters may be used undertake predictive maintenance lines without need for specialized hardware modems synthetic streams. Neural network models such as deep learning integrity systems effectively,...

Electrolytic capacitor is a very common element used in modern power electronics. Besides the undoubtable advantages as high capacity per volume and low price unit, they are relatively reliability limited lifetime. This paper describes aging mechanisms, change of parameters over time process artificial ageing electrolytic capacitors. The accelerated these elements helps to discover boundaries ESR growth degradation capacitance comparison initial values, how changes bode diagram impedance...

Diagnostics and prognostics of electrical energy conversion systems are moving forward with the rapid development IT artificial intelligence possibilities. This also broadens horizons for classical advanced condition operation monitoring techniques, resulting in more accurate fault detection, degradation prognosis calculation remaining life systems, utilized every aspect field industry today. paper gives an overview necessity diagnostics mentioned explaining techniques diagnostics....

Presented parallel algorithm for the quasi-static microstrip multiconductor lines (MMCL) analysis, with optional conductor number, width and spaces between conductors. To apply MMCL as a physical model various devises design, example, meander delay lines, it is sufficient to study only parameters of inducing c- or -normal waves. As analysis method in proposed any numerical approach may be used. Authors have implemented an five computer cluster using finite difference method. For calculation...

Some models of marine radars are light-weight enough and thus attractive for potential applications when arranged on UAVs. Elevating a radar to high altitudes provides much wider field view, however, this could lead higher radio interference level. The practical estimation the interferences affecting solid-state FMCW at up 120 m was main objective contribution. A rotary-wing octocopter UAV developed built experiments. Two different kinds were observed altitudes. Ray-like caused by signals,...

This paper discusses the acceleration techniques for analysis of microstrip structures. Accurate calculation parameters such structures with numerical requires solution dense matrix equations involving thousands unknowns. Solution this large problem takes long time. In we present three computations acceleration: parallel algorithm implemented in computer cluster, sparse bound-matrix technique, and graphic processing unit conjunction CUDA technology. The execution time speed-up proposed are...

An algorithm to improve the resolution of frequency spectrum by detecting number complete cycles, removing any fractional components signal, signal discontinuities, and interpolating for fault diagnostics electrical machines using low-power data acquisition cards is proposed in this paper. Smart sensor-based processing devices such as Arduino are becoming common due growing trend Internet Things (IoT), cloud computation, other Industry 4.0 standards. For predictive maintenance, representing...

The topology of the static synchronous compensator reactive power for a low-voltage three-phase utility grid capable asymmetric compensation in phases has been proposed and analysed. It is implemented using separate, independent cascaded H-bridge multilevel inverters each phase. Every inverter includes two cascades. first cascade operating at frequency thyristors, second one—operating high based on high-speed MOSFET transistors. investigation shows that able to compensate when are loaded by...

Power electronic reliability is an important topic for modern industrial electronics. Each component of a power converter has its lifespan, which affected by many factors like ambient temperature, humidity, load, and thermal cycles the system. This study focuses on modeling identifying state-space model under degradation passive components, namely capacitor inductor. A buck estimated within framework dynamic mode decomposition. The algorithm requires 10 to 16 long historical samples state...

The modern power electronics is indistinctive to questions on a reliability. electrolytic capacitors despites their excessive properties in terms of affordability, density volume and weight, remains an element that can cause device fail. paper dedicated solution diagnostics, monitoring prediction remain lifetime capacitors. main idea ESR (Equivalent Series Resistance) capacitor grows while getting the end lifespan. combination with capacitance forming Left Half-Plane zero thus change listed...

This research introduces an innovative converter system which has been developed to seamlessly incorporate multiple sources of renewable energy into both DC and AC grids. The integration is made possible through the utilization a unique that combines multiport topology with multilevel inverter topology, while maintaining low component count hence increased overall power density efficiency for proposed system. Unlike previous literature, where each source needs separate two-level used...

Identifying and isolating open circuit faults in inverters is essential as it greatly enhances reliability, durability, operational efficiency. This paper presents a data-driven fault diagnosis scheme that combines multiple classifiers to improve the classification accuracy of different three-level inverters. Statistical features are used train two supervised machine learning models. Subsequently, majority voting technique combine decisions made by these classifiers, selecting one with...

This study presents calculation of dispersion characteristics in the frequency range 1–100 GHz as well electric field distributions an open cylindrical waveguide with a central channel. The is made glass material. channel can be either empty or filled blood plasma cells. We investigated two kinds electromagnetic (ЕМ) waves, “tube” and “core” modes, each having different structure their fields. In current study, analysis focused on fundamental first higher hybrid magnetic modes. mode that...

Unmanned aerial vehicles (UAV), like other complex mechatronics systems, use servomechanisms for the accurate positioning of construction elements. Servomechanisms are stable, reliable and easy to control. However, occasionally they fail cause issues electrical system. In this paper, authors present a full analysis system operations after specific fault consequences it. The propose test bench show experimentation results that contain servo motor parameters at loaded idle states, relations...

The paper proposes a controller that consists of combination Proportional-Integral (PI) and Integral (I) controllers to increase the resistance feedback control system electromagnetic interferences. Such allows achieve better noise signal induced by interferences compared conventional PI controller, without deteriorating dynamic parameters system. advantages proposed PI/I are demonstrated investigating with plant dynamics typical for plants based on frequency converters implemented automatic...

This article describes the digital twin of wind generator. The model turbine provides a valuable tool for monitoring, controlling, and predicting generator's behavior. type algorithm allows reducing cost electricity. Also, it to develop new types turbines optimize existing ones. concept generator is shown in article. Here presented description test bench components. modeling various conditions helps check its states. combines weather sensor, servo motor, drive,

This study aims to comprehensively analyze five weather forecasting models obtained from the Open-Meteo historical data repository, with a specific emphasis on evaluating their impact in predicting wind power generation. Given increasing focus renewable energy, namely, power, accurate plays crucial role optimizing energy generation and ensuring stability of system. The analysis conducted this incorporates range models, ICOsahedral Nonhydrostatic (ICON), Global Environmental Multiscale Model...