Article
Energy & Fuels
Linao Li, Xinlao Wei
Summary: This study proposed a partial discharge interference suppression method based on SVD and IEMD, effectively addressing the issues of periodic narrowband and white noise interference. Compared with other methods, this approach more effectively suppresses interference signals in partial discharge.
Article
Engineering, Electrical & Electronic
S. M. Kayser Azam, Mohamadariff Othman, Hazlee Azil Illias, Tarik Abdul Latef, Wan Nor Liza Wan Mahadi, Daniar Fahmi, A. K. M. Zakir Hossain, Mohd Fadzil Ain
Summary: In compliance with next-generation high-voltage substations, ultrahigh-frequency (UHF) planar sensors are becoming more popular for their online features in PD diagnostics. However, UHF sensors still face challenges of PD signals mixing with different noises, especially telecommunication interferences in open substations. This study introduces a novel planar sensor that inherently eliminates telecommunication interferences during PD detection for open substations, without the need for postprocessing filters. The prototype sensor demonstrates improved noise cancellation and signal-to-noise ratio, as well as the potential for classifying PD sources.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Chao Wu, Yiran Gao, Ruoyan Wang, Kai Wang, Siyang Liu, Yongjie Nie, Ping Wang
Summary: This paper proposes a PD detection method based on double-density dual-tree complex wavelet transform (DD-DT CWT) and singular value decomposition (SVD) to solve the problem of submerged PD signals being interfered with. Experimental results show that the proposed method has better performance in removing interferences and retaining features of PD signals, and can accurately detect the presence and appearance time of PD signals.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Jun Zhong, Xiaowen Bi, Qin Shu, Dakun Zhang, Xiaopeng Li
Summary: This article introduces a denoising method that determines the decomposition layers from the spectral kurtogram and denoises the reference signal using a 3 sigma threshold, resulting in a more accurate recovery of PD signals by effectively removing white noise.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Automation & Control Systems
Haihua Wang, Guochun Xiao, Laili Wang, Yunqing Pei, Feifei Yan, Qingshou Yang
Summary: Partial discharge (PD) detection is crucial for ensuring the reliability of insulation in high-voltage power electronics devices. Existing research mainly focuses on traditional electrical methods that do not meet the voltage conditions in power modules, and fail to address electromagnetic interference (EMI) issues. This article proposes a novel approach based on optic theory, utilizing an optic fiber sensing system for PD detection in power modules. Additionally, a PD inception voltage (PDIV) signal processing method based on PD acoustic signals is introduced. The proposed approach successfully captures PD signals and PDIV without EMI interference or new insulation problems.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Huan Yuan, Xiaonan Wang, Aijun Yang, Dingxin Liu, Xiaohua Wang, Mingzhe Rong
Summary: This study investigated the decomposition products of SF6/air gas mixtures under different pulsed discharge voltages, revealing the main products and their yields increasing with the number of discharge pulse. The production rates of SOF2, SO2, and SOF4 were positively correlated with discharge voltage and the proportion of air in the gas mixtures, while SO2F2 was not affected by these factors. These findings provide a basis for determining discharge failures and the discharge degree of power equipment.
Article
Engineering, Multidisciplinary
Amir Abbas Soltani, Ayman El-Hag
Summary: This study introduces a novel PD signal denoising method based on artificial neural networks, treating PD signals as a set of points that can be estimated by a curve. The proposed technique demonstrates superior performance compared to traditional methods and has been proven effective in laboratory experiments.
Article
Engineering, Electrical & Electronic
Shuguang Ning, Yigang He, Ali Farhan, Yuting Wu, Jin Tong
Summary: The paper proposes a PD localization method based on TDOA and TSVD regularization, which improves the accuracy of PD location in transformers by processing PD signals and solving equations.
IEEE SENSORS JOURNAL
(2021)
Review
Engineering, Electrical & Electronic
Ruann Victor de Andrade Lira, Antonio Luiz Pereira de Siqueira Campos, Alfredo Gomes Neto, Isau de Souza Silva Jr, Alexandre Jean Rene Serres, Luiz Augusto Medeiros Martins Nobrega, Allan David da Costa Silva, Itaiara Felix Carvalho
Summary: In this article, simplified geometries for microstrip antennas were evaluated and optimized for partial discharge (PD) detection. The performance of the proposed antenna was improved using cascaded frequency selective surfaces (FSS). The insertion of the FSS did not affect the operational bandwidth of the antenna and increased the sensitivity for PD detection within the proposed frequency range. The proposed UHF sensor for PD detection was successfully tested on three different devices.
SENSORS AND ACTUATORS A-PHYSICAL
(2022)
Article
Engineering, Industrial
Taha J. Alhindi, Jaeseung Baek, Young-Seon Jeong, Myong K. Jeong
Summary: For automobile manufacturers, reducing vehicle interior noise is crucial for improving customer satisfaction. This paper proposes a novel automated windshield wiper fault-detection system that outperforms existing methods in accurately identifying faulty wipers. By utilizing a binarization approach and matrix-factorization technique, meaningful features are extracted from sound signals to classify the wiper's condition.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Chemistry, Analytical
Weixing Fang, Guojin Chen, Wenxin Li, Ming Xu, Wei Xie, Chang Chen, Wanqiang Wang, Yucheng Zhu
Summary: A PRPD-based PD filtering algorithm is proposed to analyze interference and set threshold parameters for noise reduction processing. The algorithm improves the system's sensitivity and the signal's purity by effectively acquiring signals and retaining the characteristics of the PD signals.
Article
Nanoscience & Nanotechnology
Congdong She, Ju Tang, Rijian Cai, Haotian Li, Long Li, Qiang Yao, Fuping Zeng, Chen Li
Summary: The study investigated the compatibility of four rubber materials with C5F10O/N-2 mixtures through thermally accelerated aging experiments, revealing that EPDM and NBR show better compression performance compared to CR and VMQ. The results suggest that EPDM and NBR may be more suitable for use in C5F10O power equipment.
Article
Polymer Science
Wei-Feng Sun, Wen Kwang Chern, John Chok You Chan, Zhong Chen
Summary: In this study, reactive molecular dynamics simulations were used to investigate the decomposition process of crosslinked epoxy resin under high electric field and thermal degradation conditions. The effect of active molecular species, such as nitric acid and ozone, generated by electrical partial discharges on the synergetic thermal-electrical degradation of epoxy resin was analyzed. It was found that these active products oxidize hydroxyl groups and carbon-nitrogen bridge bonds in the epoxy molecular chains, leading to accelerated decomposition and increased decomposition products.
Article
Engineering, Electrical & Electronic
Yuan Yan, Riccardo Trinchero, Igor Simone Stievano, Hongjie Li, Yan-Zhao Xie
Summary: This article introduces a fully automatic tool for de-noising PD signals in electrical power networks using STFT and SVD. The method effectively filters out white noise and discrete spectrum noise, leading to positive impacts on the detection of important parameters in PD signals.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Computer Science, Information Systems
Wansoo Ha, Changsoo Shin
Summary: This study presents a method to attenuate seismic noise in the Laplace domain using singular value decomposition. By transforming seismic wavefields into the Laplace domain and applying various filtering and decomposition techniques, the accuracy of inversions was improved and the errors and uncertainties caused by noise were reduced.
Article
Energy & Fuels
Amir Abbas Soltani, Ayman El-Hag
Article
Engineering, Electrical & Electronic
Satish Polisetty, Ayman El-Hag, Shesha Jayram
Article
Engineering, Electrical & Electronic
Daouda Kone, Refat Atef Ghunem, Ladji Cisse, Yazid Hadjadj, Ayman H. El-Hag
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
(2019)
Article
Engineering, Electrical & Electronic
Amr Ibrahim, Ahmad Dalbah, Ayaat Abualsaud, Usman Tariq, Ayman El-Hag
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2020)
Article
Energy & Fuels
Ahmad Nayyar Hassan, Ayman El-Hag
Article
Energy & Fuels
Suganya Govindarajan, Venkateshwar Ragavan, Ayman El-Hag, Kannan Krithivasan, Jayalalitha Subbaiah
Summary: Different types of classifiers for acoustic partial discharge pattern classification have been extensively discussed, with recent research focusing on the use of features extracted by singular value decomposition (SVD). The algorithm tested for various measurement conditions showed superiority in feature extraction, indicating robustness in noisy PD signals.
Article
Energy & Fuels
Fadi Z. Kamand, Basharat Mehmood, Refat Ghunem, Mohammad K. Hassan, Ayman El-Hag, Leena Al-Sulaiti, Ahmed Abdala
Summary: This paper discusses the current application status of self-healing silicone-based materials for outdoor high-voltage insulation. It reports the intrinsic mechanisms responsible for the self-healing of silicone rubber and the factors defining its efficiency. The paper also emphasizes the importance of considering the self-healing ability in the material development stage and provides indicators for evaluating this ability. It calls for standardizing the testing methods.
Review
Energy & Fuels
Sara Mantach, Abdulla Lutfi, Hamed Moradi Tavasani, Ahmed Ashraf, Ayman El-Hag, Behzad Kordi
Summary: Condition monitoring of high voltage apparatus plays a crucial role in the maintenance of electric power systems. Deep learning techniques, which use raw data as input and integrate feature extraction in the learning stage, have been extensively studied in this field, offering the advantage of automation compared to traditional machine learning.
Article
Engineering, Electrical & Electronic
Refat Atef Ghunem, Edward A. Cherney, Masoud Farzaneh, G. Momen, Hazlee Azil Illias, Gustavo Arturo Mier Malagon, Vidyadhar Peesapati, Fanghui Yin
Summary: This article reviews the development and application of superhydrophobic insulation for outdoor high-voltage applications, including methods of preparing such insulation to mitigate pollution problems. The evaluation techniques and potential modifications are discussed, along with the properties and prospects of superhydrophobic insulators. The need to fully understand the performance of superhydrophobicity under actual outdoor conditions is emphasized.
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
(2022)
Article
Engineering, Electrical & Electronic
Fadi Z. Kamand, Belal Saleh, Mohammad K. Hassan, Refat Atef Ghunem, Ayman H. El-Hag, Ahmed Abdala, Leena Al-Sulaiti
Summary: In this article, the degradation mechanisms of unfilled polydimethylsiloxane with different molecular weights were studied under dry-band arcing. It was found that as the molecular weight increases, carbonaceous residue from radical-based crosslinking becomes more prevalent than erosion. However, at lower molecular weights, erosion due to depolymerization becomes more dominant. This study highlights the potential to control the tracking and erosion tendency of silicone rubber outdoor insulation by manipulating the molecular weight of the organosiloxane base, without relying solely on fillers.
IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION
(2023)
Article
Engineering, Electrical & Electronic
Wasim Al-Masri, Ali Wadi, Mamoun F. F. Abdel-Hafez, Hashim A. A. Hashim, Ayman H. H. El-Hag
Summary: This article proposes a novel invariant extended Kalman filter (IEKF) for estimating the location of partial discharge (PD) in a transformer insulation system model. An acoustic signal measurement is used to localize the PD location. Unlike conventional EKF methods, the proposed algorithm's correction term is independent of the output error, resulting in a fast response with a significant reduction in estimation error. The proposed method successfully captures nonlinear dynamics and reduces measurement noise, even in cases where the measurement model does not fully capture the PD's dynamics.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Hafiz M. Usman, Ramadan Elshatshat, Ayman H. El-Hag
Summary: This study proposes a four-layer framework to assess the real-time and anticipated aging of a distribution transformer and conducts numerical validation.
IEEE TRANSACTIONS ON POWER DELIVERY
(2023)
Article
Engineering, Electrical & Electronic
Danial Waleed, Shayok Mukhopadhyay, Usman Tariq, Ayman H. El-Hag
Summary: This study developed a prototype quadcopter drone-based system for inspecting the health condition of power-line ceramic insulators. The system is capable of performing computer vision routines in both onshore and onboard modes, with testing showing acceptable quality in terms of precision and time.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Proceedings Paper
Automation & Control Systems
Anas Muhammad, Adnan Shahpurwala, Shayok Mukhopadhyay, Ayman H. El-Hag
FOURTH IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, ROBOT 2019, VOL 1
(2020)
Article
Engineering, Electrical & Electronic
Mohammad Avzayesh, Mamoun F. Abdel-Hafez, Wasim M. F. Al-Masri, Mohammad AlShabi, Ayman H. El-Hag
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2020)
