IEEJ Transactions on Electrical and Electronic Engineering最新文献

{"title":"Noise Enhances Excitability of a Neuronal Population with Heterogeneous Excitatory Neurons","authors":"Tianyi Zheng,&nbsp;Bin Li,&nbsp;Yasuhiko Jimbo,&nbsp;Kenta Shimba,&nbsp;Kiyoshi Kotani","doi":"10.1002/tee.24166","DOIUrl":"10.1002/tee.24166","url":null,"abstract":"<p>Cortical excitability is sensitive to noise perturbations despite homeostatic regulation. However, modeling the effect of noise in a heterogeneous neuronal population is a mathematical challenge. Using a mean-field model of a randomly connected excitatory population, we investigated how noise affects excitability at the resting state. Stable equilibrium analysis revealed that increasing noise intensity enhances excitability, indexed by synaptic conductance. Further, this enhancement disappeared when excitability is sufficiently high due to strong mean input current, but not influenced by the connection probability of the population. Finally, the mechanism of noise-induced enhancement was explained by eigenvalues moving toward the imaginary axis. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.</p>","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 12","pages":"2085-2087"},"PeriodicalIF":1.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141642219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on Transformer Fault Diagnosis by WOA-SVM Based on Feature Selection and Data Balancing","authors":"Can Ding,&nbsp;Donghai Yu,&nbsp;Xiangdong Liu,&nbsp;Qiankun Sun,&nbsp;Qingzhou Zhu,&nbsp;Yiji Shi","doi":"10.1002/tee.24171","DOIUrl":"10.1002/tee.24171","url":null,"abstract":"<p>Oil-immersed transformers as one of the most important equipment in the power system, the fault prediction of it in advance can effectively reduce the subsequent harm. Aiming at the selection of input features and data sample imbalance in the transformer fault diagnosis model, this paper adopts the recursive feature elimination (RFE) method combined with SMOTETomek comprehensive sampling method to optimize the above problems. First, RFE is used to traverse all the features and filter the optimal combination of them as input features, then SMOTETomek is used to perform balancing operation on the samples of the train set, and finally, whale optimization algorithm (WOA) is used to find the best hyperparameters for support vector machine (SVM), and the results are compared with the diagnostic models operated without processing and after single processing operation, respectively. After several sets of experiments, it is proved that the optimized comprehensive fault diagnosis model performs better on the test set than both the untreated and the singly processed models, which proves the effectiveness of the methodology used in this paper. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.</p>","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 1","pages":"41-49"},"PeriodicalIF":1.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141646308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive Optimal Resonance Fault Feature Enhancement for Wind Turbine Based on Frequency Search and Uncertainty Analysis","authors":"Jian Dang,&nbsp;Yile Wang,&nbsp;Haolin Yin,&nbsp;Ji Li,&nbsp;Rong Jia,&nbsp;Peihang Li","doi":"10.1002/tee.24168","DOIUrl":"10.1002/tee.24168","url":null,"abstract":"<p>The wind turbine fault feature has strong uncertainty due to various factors such as wind speed and equipment parameters. Based on the analysis of the vibration characteristics of wind turbines with unknown prior conditions, this paper conducts research on the enhancement method of fault features. First, analyzing the change in fault features caused by the change in operating conditions to lay the foundation for subsequent research; Second, for the uncertainty of wind turbine fault feature frequency, searching for fault features by constructing the energy in each spectral interval, then use signal noise optimal resonance to transfer noise energy to low frequency fault features to achieve the purpose of adaptive optimal resonance enhancement of fault feature; Finally, validation of the proposed method by simulation experiments and fault signals of actual wind turbine rolling bearings. The case shows that the proposed algorithm can effectively realize the uncertain fault feature of wind turbines search and enhancement. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.</p>","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 12","pages":"2044-2061"},"PeriodicalIF":1.0,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141650185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Partial Discharge Behavior Prior to Breakdown in Epoxy Resin","authors":"Swe Zin Linn Htet,&nbsp;Takuya Kondo,&nbsp;Takuma Miyake,&nbsp;Tatsuya Sakoda,&nbsp;Takeshi Nishimura","doi":"10.1002/tee.24160","DOIUrl":"10.1002/tee.24160","url":null,"abstract":"<p>To evaluate the deterioration degree of insulation material by monitoring partial discharges (PDs), it is necessary to fully understand the PD behavior prior to breakdown. We performed measurements of temporal variations in the number and magnitude of PDs in a void of epoxy resin. It was found that the number of PDs with larger magnitude is less before breakdown and that there is a decreased tendency of the number and magnitude of PDs with the elapsed time. The tendency is remarkable as the applied electric field is small. Additionally, the time to breakdown becomes short when the scattering of the number of PDs per unit time decreases. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.</p>","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 12","pages":"1927-1935"},"PeriodicalIF":1.0,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141649607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Short-Circuit Point Estimation Method for Distribution Lines Using Smart-Meters","authors":"Yasuhiro Kodama,&nbsp;Kenji Otani","doi":"10.1002/tee.24162","DOIUrl":"10.1002/tee.24162","url":null,"abstract":"<p>The presence of a substantial short-circuit current generates a large electromagnetic repulsive force. The energy of such a short-circuit current increases the likelihood of equipment damage. Furthermore, the occurrence of short-circuits disrupts the stable supply of electric power. When a short-circuit occurs in a distribution line, short-circuit point identification is realized based on information such as overcurrent indicators and equipment damage caused by the short-circuit. However, there is no established method for promptly pinpointing the short-circuit location. Therefore, this study proposes a short-circuit point estimation method for distribution lines using smart-meters; whose performance is anticipated to improve in the future. The proposed method involved using smart-meter voltage measurements to measure and determine the changes in the voltage drop slope, caused by the distribution-substation short-circuit currents and load currents, from the short-circuit location to the end point. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.</p>","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 12","pages":"1976-1986"},"PeriodicalIF":1.0,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141610264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ant Lion Optimizer Based on Spatial Information","authors":"Nian-Feng Weng,&nbsp;Yi Liu,&nbsp;Qi-Bin Zheng,&nbsp;Geng-Song Li,&nbsp;Hong-Mei Li","doi":"10.1002/tee.24165","DOIUrl":"10.1002/tee.24165","url":null,"abstract":"<p>Optimization problems widely exist in different real-world applications. Ant lion optimizer (ALO) is an effective optimization algorithm that simulates the hunting behavior of antlions, but it will easily fall into local optima. To address this issue, this paper proposes a modified version of ALO called spatial ant lion optimizer (SALO). SALO makes full use of spatial informations of solutions to promote its searchability. It utilizes a distance-based indicator instead of objective fitness to choose ant lions for updating solutions. Besides, it maintains a candidate enhanced archive by a distance-based updating approach and implements a hybrid-enhanced strategy in the archive to search for better solutions. Exhaust experiments are carried out through six classic benchmark functions and seven state-of-the-art compared algorithms, and the results validate the superior performance of SALO. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.</p>","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 12","pages":"2081-2084"},"PeriodicalIF":1.0,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141614592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"First-Principles Calculations of Material Properties of CuCrZr Alloy Contacts","authors":"Can Ding,&nbsp;Qinuo Liu,&nbsp;Qiankun Sun,&nbsp;Lu Feng","doi":"10.1002/tee.24154","DOIUrl":"10.1002/tee.24154","url":null,"abstract":"<p>CuCrZr alloy is widely used in vacuum circuit breaker contact materials and high-speed railroad contact wires, etc. The study of the effect of different Cr and Zr contents on the performance of CuCrZr alloy is of great significance for the improvement of circuit breaker's breaking capacity, as well as the load and structural stability under harsh working conditions. In this paper, the mechanical properties, electronic density of states and thermodynamic properties of CuCrZr solid solution alloys randomly doped by different concentrations of Cr and Zr are comparatively analyzed using first-principles calculations based on density functional theory. The results show that the alloys with different doping compositions have strong mechanical stability, electrical conductivity, and thermomechanical stability, and the reduction of the Cr/Zr doping concentration ratio can improve the toughness and ductility of the alloys, and the solid solution alloy with the composition of CuCr_0.06Zr_0.19 has the best machinability. The doping of Cr and Zr can improve the thermal stability of the alloy, Cr and Zr can be used as high-temperature toughening elements for Cu. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.</p>","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 12","pages":"1916-1926"},"PeriodicalIF":1.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141566586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transient Quenching Properties of Vapor Arc Formed in Silica Sand: Contribution of Vaporized SiO2 Mixture to DC Arc Extinction Performance","authors":"Naoto Kodama,&nbsp;Yasunobu Yokomizu,&nbsp;Waku Takenaka,&nbsp;Koya Nakamura","doi":"10.1002/tee.24156","DOIUrl":"10.1002/tee.24156","url":null,"abstract":"&lt;p&gt;The current-limiting fuse uses silica (SiO&lt;sub&gt;2&lt;/sub&gt;)-sand as arc quenching medium to increase a current-limiting performance during the DC arc quenching process. In order to increase the current-limiting performance of the fuse, a detailed understanding of an arc resistance &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;r&lt;/mi&gt;\u0000 &lt;mi&gt;arc&lt;/mi&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ {r}_{mathrm{arc}} $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; rise process is necessary. This paper first carried out a 1000 A DC Cu arc quenching experiment using the silica-sand to obtain transient change in &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;r&lt;/mi&gt;\u0000 &lt;mi&gt;arc&lt;/mi&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ {r}_{mathrm{arc}} $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;, morphology of the arc, and arc temperature &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;T&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ T $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; during the arc quenching process. As a result, a current decaying increased &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;r&lt;/mi&gt;\u0000 &lt;mi&gt;arc&lt;/mi&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ {r}_{mathrm{arc}} $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;. The arc was maintained in the cavity surrounded by the fulgurite during the current decaying process. The temperature of Cu/SiO&lt;sub&gt;2&lt;/sub&gt; arc was 25–8 kK at a current region of 950–400 A during the arc quenching process. Second, we theoretically calculated an electrical resistivity &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;ρ&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ rho $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt;, and a thermal diffusivity &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;α&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ alpha $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; as vapor properties for the Cu/SiO&lt;sub&gt;2&lt;/sub&gt; vapor mixture. As typical results, the admixing of the SiO&lt;sub&gt;2&lt;/sub&gt; vapor into the Cu arc less increased &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;ρ&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ rho $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; of the Cu/SiO&lt;sub&gt;2&lt;/sub&gt; vapor mixture at &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;T&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$$ T $$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; between 25 and 5 kK. The &lt;span&gt;&lt;/spa","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 12","pages":"1965-1975"},"PeriodicalIF":1.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141566585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Road Target Detection in Different Weather Conditions Based on Deep Learning","authors":"Zhendong Yang,&nbsp;Yibing Zhao,&nbsp;Bin Li,&nbsp;Lie Guo","doi":"10.1002/tee.24153","DOIUrl":"10.1002/tee.24153","url":null,"abstract":"<p>Addressing the challenge of ensuring robustness in vision-based target recognition algorithms under adverse weather conditions, such as rain, snow, and fog, is crucial. In this paper, we introduce a novel approach for road target detection that can effectively operate under various weather conditions. Our method is based on the cascade task framework of target detection, complemented by image restoration techniques. Specifically, we have developed a denoising network tailored to meet the demands of de-raining and snow removal tasks. This network leverages prior knowledge about the mask, enhancing its effectiveness. In real-world scenarios featuring fog, wet conditions, and snow-covered roads, our proposed method demonstrates a significant improvement in both recall rate and accuracy compared to conventional single-object detection algorithms. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.</p>","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 11","pages":"1817-1827"},"PeriodicalIF":1.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141547133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Attention Similarity Outlier Suppression with Hierarchical Feature Integration for Defect Segmentation","authors":"Jiamin Wang,&nbsp;Jiawei Yu,&nbsp;Hongbin Shi,&nbsp;Ying Wang","doi":"10.1002/tee.24158","DOIUrl":"10.1002/tee.24158","url":null,"abstract":"<p>Defect segmentation holds significant importance in industrial applications. However, most existing algorithms are tailored to specific scenarios, lacking a unified defect segmentation algorithm for defect segmentation. Based on the analysis of the characteristics of defects, we aim to propose a unified transformer-based defect segmentation algorithm. On the one hand, the defect foreground exhibits significant differences from the normal background. Nevertheless, the attention mechanism in the transformer involves all feature nodes in the feature map to the similarity score of one patch with all other patches. This approach may compromise the features of potential defect areas where the defect foreground significantly contrasts with the background. We introduce the Attention Similarity Outlier Suppression (ASOS) strategy to address this challenge. Our method is designed to select valid attention scores and filter out outlier scores for appropriate attention fusion, in which the feature of potential defect areas is not easily affected by background. On the other hand, the defect regions often have relatively small areas. We incorporate a Hierarchical Feature Integration (HFI) module in our framework to facilitate defect recognition at different scales. By progressively up-sampling, features can achieve better integration to generate the final segmentation result. Extensive experiments have verified the effectiveness of our proposed method in defect segmentation tasks. Moreover, thorough ablation studies have demonstrated the efficacy of our algorithm, reinforcing its robust performance. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.</p>","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 12","pages":"2024-2032"},"PeriodicalIF":1.0,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141522060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}