Pub Date : 2024-11-19DOI: 10.1109/TSMC.2024.3485298
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Pub Date : 2024-11-19DOI: 10.1109/TSMC.2024.3485288
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Pub Date : 2024-11-19DOI: 10.1109/TSMC.2024.3485292
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Pub Date : 2024-11-19DOI: 10.1109/TSMC.2024.3485300
{"title":"TechRxiv: Share Your Preprint Research with the World!","authors":"","doi":"10.1109/TSMC.2024.3485300","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3485300","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"54 12","pages":"7534-7534"},"PeriodicalIF":8.6,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10758271","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-19DOI: 10.1109/TSMC.2024.3485290
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Pub Date : 2024-10-25DOI: 10.1109/TSMC.2024.3480457
Faizal Hafiz;Chirag Naik;Davide La Torre;Akshya Swain
The present study proposes a new index to quantify the severity of nonstationary power quality (PQ) disturbance events. In particular, the severity of PQ events is estimated from their energy distribution in temporal-frequency space. The index essentially measures the $ell _{p}$ -norm between the energy distributions of an event and the nominal voltage signal. The efficacy of the new index is demonstrated considering a wide class of major nonstationary PQ events, including sag, swell, interruptions, oscillatory transients, and simultaneous events. The results of this investigation, with simulated, real and experimental data, convincingly demonstrate that the proposed index is generic, monotonic, easy to interpret, and can accurately quantify the severity of nonstationary events.
{"title":"Quantification of Nonstationary Power Quality Events: A New Index Based on ℓp-Norm of Energy","authors":"Faizal Hafiz;Chirag Naik;Davide La Torre;Akshya Swain","doi":"10.1109/TSMC.2024.3480457","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3480457","url":null,"abstract":"The present study proposes a new index to quantify the severity of nonstationary power quality (PQ) disturbance events. In particular, the severity of PQ events is estimated from their energy distribution in temporal-frequency space. The index essentially measures the \u0000<inline-formula> <tex-math>$ell _{p}$ </tex-math></inline-formula>\u0000-norm between the energy distributions of an event and the nominal voltage signal. The efficacy of the new index is demonstrated considering a wide class of major nonstationary PQ events, including sag, swell, interruptions, oscillatory transients, and simultaneous events. The results of this investigation, with simulated, real and experimental data, convincingly demonstrate that the proposed index is generic, monotonic, easy to interpret, and can accurately quantify the severity of nonstationary events.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"54 12","pages":"7457-7471"},"PeriodicalIF":8.6,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-16DOI: 10.1109/TSMC.2024.3479609
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Pub Date : 2024-10-16DOI: 10.1109/TSMC.2024.3479672
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Pub Date : 2024-10-16DOI: 10.1109/TSMC.2024.3466110
Ying Tang;Yonglin Tian;Yilun Lin;Chen Lv;Maria Pia Fanti
{"title":"Guest Editorial Enabling Technologies and Systems for Industry 5.0: From Foundation Models to Foundation Intelligence","authors":"Ying Tang;Yonglin Tian;Yilun Lin;Chen Lv;Maria Pia Fanti","doi":"10.1109/TSMC.2024.3466110","DOIUrl":"https://doi.org/10.1109/TSMC.2024.3466110","url":null,"abstract":"","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"54 11","pages":"6496-6499"},"PeriodicalIF":8.6,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142443016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-16DOI: 10.1109/TSMC.2024.3479611
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