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Found 6374 publications

HF Pulse Signal Injection Based Method for Sensorless Control of PMSM with Cogging Torque Compensation

Karol Kyslan Grzegorz Tarchala Karol Wróbel Krisztian Horvath Viktor Petro

Publication Name: Proceedings 2025 IEEE 7th Global Power Energy and Communication Conference Gpecom 2025

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 257-262

Description:

High-frequency (HF) signal injection methods are one of the key techniques for accurately estimating the rotor position of permanent magnet synchronous machines (PMSMs). The rotor position is determined by superimposing HF signals onto the fundamental control signals, producing a combined signal that serves as a reference for the PWM modulator. The rotor position is then extracted from the current response caused by the injected signal. This paper introduces a modification to the HF pulse signal injection method for sensorless control. The proposed approach improves control dynamics by reducing the signal injection period from two control periods to just one, and by adding the cogging torque compensation, thereby minimizing current and speed ripple. Experimental results obtained with a 2.5 kW PMSM and RT-LAB software obtained for the 1% of nominal speed validate the effectiveness of the proposed method.

Open Access: Yes

DOI: 10.1109/GPECOM65896.2025.11061829

Impact of measurement and test parameters on the rpm-sweep test accuracy of e-motors

Balázs Vehovszky Zoltán Gazdagh D. Acs

Publication Name: 54th International Congress and Exposition on Noise Control Engineering Internoise 2025

Publication Date: 2025-01-01

Volume: 4

Issue: Unknown

Page Range: 70-77

Description:

The electrification of the vehicle industry has led to a significant increase in the demand for innovative vibration testing. The RPM-sweep experiments of e-motors and e-drives are considered to be fundamental, as they provide valuable vibration and durability data for further analysis. The aim is to model the behavior of rotating-dynamic systems throughout their life cycles. However, inaccuracies in the definition of measurement and test parameters can result inaccurate transfer functions, ultimately reducing the accuracy and reliability of the test results. This paper focuses on two critical parameters: frequency resolution and RPM-sweep rate. Both of these parameters have a significant impact on the amplitude response of the system and can lead to substantial distortion of the FRFs. In this study, we characterize these distortions and propose a method to ensure that the error introduced by the chosen frequency resolution and RPM-sweep rate remains below a predefined threshold value. In addition to the theoretical derivation, we demonstrate the application of this method using real measurement data. This research aims to address the challenges associated with NVH testing in the context of the electrification of the vehicle industry, providing a valuable contribution to the development of more accurate and reliable testing methodologies.

Open Access: Yes

DOI: 10.3397/IN_2025_1062472

Food Industry 4.0: Principles, technologies, and the emergence of Seafood 4.0

Abdo Hassoun Abderahman Rejeb

Publication Name: Seafood 4 0 Digital Physical and Biological Innovations from Sea to Table

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 3-30

Description:

The global food sector is experiencing a significant transformation through the adoption of Industry 4.0 technologies, including artificial intelligence (AI), blockchain, Internet of Things (IoT), robotics, big data analytics, and smart sensors, among others. These advancements are reshaping food production, processing, and supply chains by enhancing efficiency, transparency, and sustainability. This chapter explores the enabling technologies of Industry 4.0 and introduces the concept of Seafood 4.0, demonstrating how these innovations address challenges in aquaculture, fisheries, and seafood processing by optimizing resource use, enhancing traceability, and ensuring product quality while fostering sustainable practices. Applications such as IoT and smart sensors for aquaculture monitoring, blockchain for fisheries traceability, and robotics for seafood processing automation are transforming the sector. However, adaptation of these applications faces significant challenges, including high costs, infrastructure gaps, and data privacy concerns. Overcoming these obstacles will require collaboration among stakeholders, supportive regulatory frameworks, and strategic investment in innovation. The adoption of these advanced technologies empowers diverse food-related sectors, including seafood, to enhance efficiency, transparency, and sustainability, ensuring food security and promoting environmental stewardship.

Open Access: Yes

DOI: 10.1016/B978-0-443-33750-5.00004-4

Preface and Peer Review Statement: Second Sustainable Mobility and Transportation Symposium (SMTS 2025) †

Ferenc Szauter Gabor Dogossy

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

No description provided

Open Access: Yes

DOI: 10.3390/engproc2025113081

ANALYSIS OF THE CURRENT STATE AND DYNAMICS OF TOURISM INDUSTRY DEVELOPMENT IN AKMOLA REGION, KAZAKHSTAN

Tamara Gajić Aigul Ageleuova Dinara Kadyrbekova Yerlan Issakov Yerkegul Dyussekeyeva Dinara Zhaksybekova

Publication Name: Geojournal of Tourism and Geosites

Publication Date: 2025-01-01

Volume: 60

Issue: Unknown

Page Range: 1348-1361

Description:

Despite Kazakhstan’s unique natural and climatic features, rich recreational potential, and developed sanatorium infrastructure, the country has not yet become a competitive international tourist destination. In particular, the Akmola region, which has notable natural assets, remains underdeveloped in terms of tourism, and its potential is not effectively utilized to attract foreign tourists. This study aims to analyze the current state of tourism in the Akmola region, identify key problems, and propose possible solutions to enhance its development. To assess public perception, a 14-item questionnaire was created based on relevant literature and distributed via social networks. Survey questions were offered in the form of docs.google.com to facilitate distribution. A total of 503 respondents participated in the survey. Results show that Burabai National Park was recognized by 43.1% of respondents as having high tourism potential, followed by Kokshetau National Park (28.2%) and Buiratau (16.5%). At the same time, as for the attractiveness of tourist and recreational facilities in Akmola region, 57.1% of respondents answered that they are unique in nature, and 26.2% believe that ecotourism has great opportunities. Because the unique nature of Akmola region is a diverse landscape that includes: mountains, lakes, rivers, forests and steppes. However, 71% of respondents expressed dissatisfaction with the level of hotel development in the region, and over 50% emphasized the need to improve tourism infrastructure. The findings highlight the necessity of integrated development of the region’s tourist and recreational resources. In particular, it is necessary to repair the main roads, ensure the renewal of public transport and tourist routes. This allows us to provide accommodation in accordance with international standards, provide quality services at an affordable price and attract significant investment. Strengthening these aspects will not only improve the attractiveness of the region to global tourists but also contribute to the socio-economic well-being of the local population and foster the sustainable development of the Akmola region. Ultimately, the proposed strategies for the development of the tourism industry in Akmola region should be aimed at the effective use of local resources and increasing the competitiveness of the region, improving the socio-cultural level of the region by increasing the flow of tourists.

Open Access: Yes

DOI: 10.30892/gtg.602spl30-1506

Notes on the chigger mites (Acari: Parasitengona: Trombiculidae) of Hungary with new records on the avian hosts of Blankaartia acuscutellaris (Walch, 1922)

Károly Erdélyi Jenő Kontschán Péter Molnár Péter Molnár Tibor Hadarics Péter Takács Enikő Horváth József Gyurácz Sándor Hornok

Publication Name: Ecologica Montenegrina

Publication Date: 2025-01-01

Volume: 84

Issue: Unknown

Page Range: 103-107

Description:

No description provided

Open Access: Yes

DOI: 10.37828/em.2025.84.9

Investigation of Silicone Contamination in Tribometer Experiments Using FT-IR and XPS Technology †

Dominika Pintér Márkó Kovács

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

During tribometer experiments, the condition of the applied lubricants plays a crucial role in determining friction and wear properties. Oil degradation can significantly influence measurement outcomes, making it essential to understand the chemical changes that may occur during tribometric experiments. The objective of this study is to systematically investigate the source of silicone contamination and its temperature dependence. Tribometer experiments were conducted at 40, 60, 80, 100, and 120 °C, followed by FT-IR spectroscopy to analyze the lubricant after each measurement. Additionally, wear scars were examined using X-ray photoelectron spectroscopy to determine the presence of silicone within the surface layers. To assess potential alternative contamination sources, a single-drop system was employed, which excludes tubing, thereby providing a controlled environment to verify the origin of the silicone peaks. The results of this study are expected to enhance the reliability of tribometer measurements by identifying contamination sources and optimizing the experimental setup.

Open Access: Yes

DOI: 10.3390/engproc2025113069

On the Impact of Magnetic Saturation on Incipient Itsc Fault Signal Detection in Pmsms Under Ev Transient Conditions

Adrienn Dineva Adam Zsuga

Publication Name: 2025 19th International Conference on Electrical Machines Drives and Power Systems Elma 2025 Proceedings

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Incipient inter-turn short-circuit (ITSC) faults in permanent magnet synchronous machines (PMSMs) pose substantial diagnostic challenges, particularly under transient operating conditions common in electric vehicle (EV) applications. Traditional frequency-domain techniques, such as the Fast Fourier Transform (FFT), exhibit poor time-frequency resolution, making them ineffective for capturing non-stationary fault signatures. This study employs FEM-based numerical simulations combined with Continuous Wavelet Transform (CWT) analysis to accurately detect and localize ITSC fault characteristics under dynamic load conditions. While magnetic saturation is known to influence machine behavior, its quantitative impact on electrical fault signal amplitudes has not been explicitly addressed in previous diagnostic approaches. To fill this gap, a high-fidelity FEM simulation framework was developed, encompassing the full operational envelope of PMSMs. The results demonstrate that magnetic saturation leads to a notable attenuation-approximately 20-30% - of fault-induced current components, significantly complicating onboard detection. To the best of the authors' knowledge, such an integrated, EV-specific onboard diagnostic approach for incipient ITSC faults has not yet been reported in the literature. Although onboard thermal management systems exist, incipient ITSC faults may rapidly escalate into severe winding damage within 10 to 60 minutes under continuous load. This highlights the critical need for early detection methods robust to transient dynamics and magnetic nonlinearities.

Open Access: Yes

DOI: 10.1109/ELMA65795.2025.11083495

THE RISE OF AI IN TOURISM - A SYSTEMATIC LITERATURE REVIEW

Rajermani Thinakaran Ferenc Erdos László Koloszár Bayboboeva Firuza

Publication Name: Geojournal of Tourism and Geosites

Publication Date: 2025-01-01

Volume: 60

Issue: Unknown

Page Range: 1254-1265

Description:

Tourism ranks among the world's largest industries, and its sustained expansion has paralleled swift advancements in technology. Artificial Intelligence (AI) is increasingly recognized as a transformative force in tourism, offering human-like capabilities that enhance decision-making and service automation. Its application across the sector improves operational efficiency and personalizes customer experiences, thereby fostering innovation and competitiveness. However, the rapid integration of AI also presents conceptual, theoretical, and societal challenges that require critical examination. The research aims to synthesize the conceptual and theoretical research on AI in tourism from 2019 onwards. It examines key themes, theoretical perspectives, methodological rigor, and research gaps in the existing literature. Further goal is to identify thematic areas with a specific focus on AI applications. The study followed the PRISMA guidelines to conduct a systematic literature review (SLR). Academic databases, including Scopus and Web of Science, were searched to identify scientific-relevant peer-reviewed articles. From an initial pool of over 400 studies, we identified 45 significant journal articles and selected them for an in-depth analysis, that collectively illuminate how AI is reshaping tourism research and practice. Studies have drawn on innovation diffusion theory to explain adoption patterns, technology acceptance models to gauge user and employee attitudes, and service quality and co-creation theories to understand how AI can add value to the customer experience. It also highlighted the evolution of AI research in tourism, from conceptual discussions to empirical investigations. Gaps and challenges in the research were identified, including a limited focus on human-AI interaction, ethical concerns, and methodological rigor. The review concludes that AI has the potential to transform tourism by enhancing efficiency, personalization, and sustainability. The findings reveal that AI has been envisioned as a catalyst for transformation in the tourism industry, with applications ranging from intelligent forecasting and revenue management to service automation via robots and hyper-personalized travel experiences. AI-driven analytics can improve decision support for revenue management, capacity planning, and marketing strategy. However, realizing this potential requires addressing the improvement of technological competence of human resources, ethical issues, and implementation strategies.

Open Access: Yes

DOI: 10.30892/gtg.602spl22-1498