Article
Computer Science, Artificial Intelligence
Nathakhun Wiroonsri
Summary: There are various cluster validity indices used for evaluating clustering results. However, a shared weakness of these indices is that they often provide only one optimal number of clusters. In this article, the authors propose a new cluster validity index based on the correlation between actual distances between data points and centroid distances of clusters. The proposed index overcomes the previously stated weakness and consistently produces multiple local peaks.
PATTERN RECOGNITION
(2024)
Article
Energy & Fuels
Ondrej Kozak, Josef Pihera
Summary: This paper discusses the evaluation method of PD DC stress-pulse sequence analysis (PSA) and demonstrates simulations and PD analyses performed under typical PD test conditions. It shows a good match between simulations and data obtained from measurements, indicating potential for PD source recognition in DC.
Article
Computer Science, Artificial Intelligence
Paul Augustine Ejegwa, Idoko Charles Onyeke, Nasreen Kausar, Parameshwari Kattel
Summary: Computation of correlation coefficient among attributes of ordinary database is important especially in the classification and analysis of data. To achieve a dependable correlation, the construct of partial correlation coefficient based on IFD has been considered. In this study, a novel approach of finding PCCIFSs by incorporating the three parameters of IFD based on a modified CCIFSs approach is proposed, compared to the existing approach.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2023)
Article
Environmental Sciences
Le Thanh Ha
Summary: This study explores the interrelations between green and renewable energy and carbon risk. The research examines these relationships and frequency dimensions using novel multivariate wavelet analysis approaches. The findings suggest significant coherencies between different indicators in low and high frequency bands, as well as phase differences between S&P global clean energy index and carbon emission futures.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
George V. R. Xavier, Rodrigo de A. Coelho, Hugerles S. Silva, Alexandre J. R. Serres, Edson G. da Costa, Arnaldo S. R. Oliveira
Summary: The study introduces a method for measuring PD signals in high-voltage equipment insulation systems using bio-inspired printed monopole antennas, applying SDWT for signal filtering, and improving the efficiency of PD detection.
IEEE SENSORS JOURNAL
(2021)
Article
Green & Sustainable Science & Technology
Songkang Wen, Yanting Li, Yan Su
Summary: This paper introduces a new hybrid forecasting model that improves the accuracy of short-term predictions by considering the spatial and temporal correlations of weather factors and power outputs from wind turbines.
Article
Chemistry, Analytical
Nerya Ashush, Shlomo Greenberg, Erez Manor, Yehuda Ben-Shimol
Summary: Autonomous unmanned aerial vehicles (UAVs) have attracted increased attention, but also raised concerns about malicious usage. This research introduces a new method for detecting drone swarms using RF signals analysis and machine learning. By extracting different RF features from the drone's transmitters and utilizing unsupervised classifiers, a classification accuracy of about 95% has been achieved under different levels of SNR.
Article
Engineering, Electrical & Electronic
Zhenning Yang, Kye Yak See, Muhammad Faeyz Karim, Arjuna Weerasinghe
Summary: The vialess passive metamaterial-based QPSK modulated chipless RFID tag integrated with a partial discharge sensor allows for monitoring electrical assets, detecting PD events, and tracing them back to specific assets for prompt corrective action to prevent further degradation and premature failure of the assets.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Changjie Xia, Ming Ren, Rongfa Chen, Jiahe Yu, Chen Li, Yue Chen, Kai Wang, Siyun Wang, Ming Dong
Summary: This article presents the development of a hypersensitive multispectral partial discharge (PD) optical sensor array that can acquire optical pulses in seven independent bands simultaneously. The multispectral pulses of three typical PDs in a gas insulated system were experimentally obtained and analyzed using phase-based and nonphase-based multispectral characteristics. The study shows that the multispectral characteristics produced by a specific discharge defect have unique spectral signatures in discharge mode and stage evolution. By applying classification algorithms and spectral-ratio-reserved multispectral characteristics, pattern recognition and assessment of the three typical PDs were successfully achieved, with hit ratios exceeding 91%. In principle, this detection approach also supports phase-independent PD diagnosis, especially for DC power equipment.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Construction & Building Technology
Indrashish Saha, R. Vidya Sagar
Summary: This study characterized the acoustic emission generated during tensile fracture in Steel fibre reinforced concrete (SFRC) using Wavelet Packet Decomposition (WPD) and pattern recognition techniques, revealing the impact of steel fibres on AE energy and its significance in understanding damage development in concrete.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Energy & Fuels
Michal Koziol, Lukasz Nagi, Tomasz Boczar, Zbigniew Nadolny
Summary: In high voltage insulation systems, detecting and characterizing partial discharge (PD) activity is crucial to prevent equipment failures and safety hazards. This research focuses on analyzing signals emitted by surface PD in the radio frequency and ultraviolet radiation emission ranges, aiming to provide directions for further basic research and improve measurement methods. The analysis validates that radio frequency and ultraviolet signal analysis can provide important information about PD activity and location, enhancing diagnostic techniques for monitoring insulation systems in high-voltage equipment.
Article
Computer Science, Information Systems
Muhammad Riaz, Anam Habib, Muhammad Jabir Khan, Poom Kumam
Summary: This article introduces basic concepts of cubic bipolar fuzzy set and discusses the definitions, properties, as well as applications of correlation coefficients in pattern recognition and clustering analysis.
Article
Green & Sustainable Science & Technology
Thanh Ha Le
Summary: This study examines the inter-relations between non-renewable energy consumption, renewable energy consumption, GDP, and CO2 emission in Vietnam using innovative multivariate wavelet analysis tools. The findings suggest that there are correlations between these variables in different time and frequency dimensions, indicating certain cyclical patterns.
Article
Engineering, Electrical & Electronic
Yufeng Li, Jinchun Han, Yufeng Du, Haiyun Jin
Summary: This letter proposes improved time-frequency maps for separating multiple partial discharge (PD) sources in cable terminations. PD signals are acquired through a digital measurement system and a high frequency current transformer. The waveform of each pulse is analyzed by synchrosqueezed wavelet transform, and six representative feature parameters are proposed to form time-frequency maps. The results show that the proposed algorithm is effective for discriminating mixed PD sources in cable terminations and pulses from power electronic devices detected simultaneously by the PD measurement system.
IEEE TRANSACTIONS ON POWER DELIVERY
(2023)
Article
Engineering, Electrical & Electronic
Anitha Bhukya, Chiranjib Koley
Summary: This paper presents a Radio Frequency-based partial discharge monitoring system that can detect and locate discharge sources in electrical substations. By automatically labeling the arrival time of RF signals and augmenting the training dataset, the performance of the system is improved.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Engineering, Electrical & Electronic
Antonio Andrea Maria Laudani, Lisa Carloni, Ole Thybo Thomsen, Paul Lewin, Igor O. Golosnoy
IET SCIENCE MEASUREMENT & TECHNOLOGY
(2020)
Article
Materials Science, Composites
Orestis Vryonis, Thomas Andritsch, Alun S. Vaughan, Paul L. Lewin
POLYMER COMPOSITES
(2020)
Article
Engineering, Electrical & Electronic
M. A. Hamdan, J. A. Pilgrim, P. L. Lewin
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
(2020)
Article
Engineering, Electrical & Electronic
Mohd Shahril Ahmad Khiar, Sergio Garcia, Paul L. Lewin, Richard C. D. Brown, James A. Pilgrim, G. John Langley, Gordon Wilson
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
(2020)
Article
Engineering, Electrical & Electronic
G. Callender, K. F. Goddard, P. L. Lewin
Summary: This paper introduces the significance of surface charge dynamics, focusing on surface divergence and surface currents in AC and DC insulation systems. The model implementation is discussed in detail and validated against an analytical solution, showing the capability of surface currents to significantly alter electric field distributions in voids over short timescales.
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
(2021)
Article
Engineering, Electrical & Electronic
Antonio Andrea Maria Laudani, Evangelos C. Senis, Paul L. Lewin, Igor O. Golosnoy, Jochen Kremer, Hendrik Klein, Ole T. Thomsen
Summary: This article aims to characterize the contact resistivity of various equipotential bonding joints used in wind turbine blades. The proposed methodology involves measuring the total resistance of samples, computing the bulk resistance of conductive elements, and calculating the contact resistance to assess contact quality. The results show that expanded copper foil and biaxial CFRP displayed superior contact quality compared to unidirectional CFRP.
IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY
(2021)
Article
Engineering, Manufacturing
A. A. M. Laudani, O. Vryonis, P. L. Lewin, I. O. Golosnoy, J. Kremer, H. Klein, O. T. Thomsen
Summary: This paper presents a novel numerical approach to simulate lightning strike damage to equipotential bonding interfaces of wind turbine blades and validates the model based on high-current testing. The results show an excellent correlation between numerical predictions and test results in terms of current and temperature distributions, indicating that the damage is thermally activated. High temperatures were predicted at sparking areas observed in tests, suggesting a thermal activation mechanism in lightning-induced damage.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
(2022)
Article
Engineering, Electrical & Electronic
George Callender, Kevin F. Goddard, Justin K. Dix, Paul L. Lewin
Summary: This paper proposes an alternative approach to calculate the ampacity of buried cables using conformal maps. By expanding the temperature as a Fourier series, the circumferential dependence of temperature is captured, and the radial temperature components are determined using a finite difference solver. The method is characterized by high accuracy, flexibility, and low computational cost, making it suitable for large parameter sweeps.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Engineering, Electrical & Electronic
Valeria Teppati, Francesco Agostini, Philipp Ganter, Leon-Sijun Wu, Paul L. Lewin
Summary: This article presents a comparison of the dielectric properties of three different refrigerant fluids, highlighting the significantly lower global warming potential of HFO-1336mzz(E) compared to the other two fluids.
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
(2022)
Article
Engineering, Electrical & Electronic
Atip Doolgindachbaporn, George Callender, Paul Lewin, Edward Simonson, Gordon Wilson
Summary: This paper investigates the condition monitoring of power transformers and proposes a machine learning-based approach for modeling their thermal behavior. The results demonstrate the superiority of the proposed model over traditional thermal models and present an algorithm for identifying incipient thermal faults, which enables timely alerts and interventions.
IEEE TRANSACTIONS ON POWER DELIVERY
(2022)
Article
Engineering, Electrical & Electronic
Ian L. Hosier, Paul L. Lewin, Gordon Wilson
Summary: Thermal aging and UV irradiation are used to prepare kraft paper samples in a high-voltage transformer, representing its full lifecycle. The mechanical properties deteriorate progressively with aging, as indicated by the decrease in mechanical break strain correlated with degree of polymerization (DP). Testing shows that even aged paper exposed to high rates of flow does not erode, confirming the validity of using this approach to extend the lifespan of plant equipment.
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
(2022)
Article
Engineering, Electrical & Electronic
Laurie Kirkcaldy, Gareth Lees, Rosalie Rogers, Paul Lewin
Summary: Distributed acoustic sensing (DAS) is a well-established technology but has not been previously used for partial discharge (PD) detection. However, this publication demonstrates that DAS can effectively detect PD above 120 pC, supported by comparisons with other measurement systems. Additionally, phase-resolved PD (PRPD) analysis shows similarities between DAS and electrical methods.
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Ian L. Hosier, Paul L. Lewin, Gordon Wilson
Summary: Thermal aging combined with oil flow testing showed that Kraft paper insulation components are unlikely to be significantly damaged by normal reclamation activities, even in aged assets, despite surface roughening. Further testing at higher oil temperatures is needed to confirm these findings.
2021 IEEE ELECTRICAL INSULATION CONFERENCE (EIC)
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Ian L. Hosier, Paul L. Lewin, Gordon Wilson
Summary: The study found that the DP value at the surface layer is more critical than the average DP in determining the extent of oil flow related damage. Surface roughening was observed under high rates of oil flow due to the presence of a surface layer of low DP, but no significant erosion was observed.
2021 IEEE ELECTRICAL INSULATION CONFERENCE (EIC)
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Laurie Kirkcaldy, Paul Lewin, Gareth Lees, Rosalie Rogers
Summary: This study conducted novel experiments on detecting and analyzing partial discharge at the oil-pressboard interface using a continuous fiber-optic-based distributed acoustic sensing (DAS) system. Despite a lower sample rate, discharge as low as 223 pC was successfully detected. DAS offers advantages over traditional partial discharge techniques, including inherent localization, immunity to electrical and magnetic noise, and greater detection distances.
2021 IEEE SENSORS APPLICATIONS SYMPOSIUM (SAS 2021)
(2021)