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• W4284966409 startingPage "5005" @default.
• W4284966409 abstract "Condition monitoring of high voltage apparatus is of much importance for the maintenance of electric power systems. Whether it is detecting faults or partial discharges that take place in high voltage equipment, or detecting contamination and degradation of outdoor insulators, deep learning which is a branch of machine learning has been extensively investigated. Instead of using hand-crafted manual features as an input for the traditional machine learning algorithms, deep learning algorithms use raw data as the input where the feature extraction stage is integrated in the learning stage, resulting in a more automated process. This is the main advantage of using deep learning instead of traditional machine learning techniques. This paper presents a review of the recent literature on the application of deep learning techniques in monitoring high voltage apparatus such as GIS, transformers, cables, rotating machines, and outdoor insulators." @default.
• W4284966409 created "2022-07-10" @default.
• W4284966409 creator A5003176169 @default.
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• W4284966409 date "2022-07-08" @default.
• W4284966409 modified "2023-10-09" @default.
• W4284966409 title "Deep Learning in High Voltage Engineering: A Literature Review" @default.
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• W4284966409 cites W1840106123 @default.
• W4284966409 cites W1910407586 @default.
• W4284966409 cites W1931803241 @default.
• W4284966409 cites W1973445088 @default.
• W4284966409 cites W2044218026 @default.
• W4284966409 cites W2064675550 @default.
• W4284966409 cites W2084748705 @default.
• W4284966409 cites W2084771828 @default.
• W4284966409 cites W2097810157 @default.
• W4284966409 cites W2100495367 @default.
• W4284966409 cites W2106251780 @default.
• W4284966409 cites W2111548551 @default.
• W4284966409 cites W2122876603 @default.
• W4284966409 cites W2123229046 @default.
• W4284966409 cites W2146954551 @default.
• W4284966409 cites W2544048255 @default.
• W4284966409 cites W2562933879 @default.
• W4284966409 cites W2580012377 @default.
• W4284966409 cites W2593801993 @default.
• W4284966409 cites W2618530766 @default.
• W4284966409 cites W2767049071 @default.
• W4284966409 cites W2768866948 @default.
• W4284966409 cites W2770049107 @default.
• W4284966409 cites W2773832383 @default.
• W4284966409 cites W2786286552 @default.
• W4284966409 cites W2789963629 @default.
• W4284966409 cites W2791694051 @default.
• W4284966409 cites W2798915202 @default.
• W4284966409 cites W2801946776 @default.
• W4284966409 cites W2807530502 @default.
• W4284966409 cites W2888309058 @default.
• W4284966409 cites W2896357121 @default.
• W4284966409 cites W2897772777 @default.
• W4284966409 cites W2909309670 @default.
• W4284966409 cites W2910009410 @default.
• W4284966409 cites W2913489383 @default.
• W4284966409 cites W2921736909 @default.
• W4284966409 cites W2950028306 @default.
• W4284966409 cites W2953928707 @default.
• W4284966409 cites W2962949934 @default.
• W4284966409 cites W2964032056 @default.
• W4284966409 cites W2969109018 @default.
• W4284966409 cites W2970845521 @default.
• W4284966409 cites W2971787802 @default.
• W4284966409 cites W2974094309 @default.
• W4284966409 cites W2977165981 @default.
• W4284966409 cites W2991620669 @default.
• W4284966409 cites W2993535041 @default.
• W4284966409 cites W2994928058 @default.
• W4284966409 cites W2997085728 @default.
• W4284966409 cites W2997773093 @default.
• W4284966409 cites W2999034608 @default.
• W4284966409 cites W3005221154 @default.
• W4284966409 cites W3008024556 @default.
• W4284966409 cites W3011641611 @default.
• W4284966409 cites W3014573778 @default.
• W4284966409 cites W3017520968 @default.
• W4284966409 cites W3017762804 @default.
• W4284966409 cites W3036417819 @default.
• W4284966409 cites W3076565486 @default.
• W4284966409 cites W3080367886 @default.
• W4284966409 cites W3082340350 @default.
• W4284966409 cites W3084720100 @default.
• W4284966409 cites W3088263721 @default.
• W4284966409 cites W3091448810 @default.
• W4284966409 cites W3091450787 @default.
• W4284966409 cites W3093996253 @default.
• W4284966409 cites W3098852188 @default.
• W4284966409 cites W3110754121 @default.
• W4284966409 cites W3112301645 @default.
• W4284966409 cites W3114632476 @default.
• W4284966409 cites W3116100436 @default.
• W4284966409 cites W3121083129 @default.
• W4284966409 cites W3122116365 @default.
• W4284966409 cites W3128946928 @default.
• W4284966409 cites W3130824979 @default.
• W4284966409 cites W3132192521 @default.
• W4284966409 cites W3135354621 @default.
• W4284966409 cites W3135469542 @default.
• W4284966409 cites W3135681771 @default.
• W4284966409 cites W3135733061 @default.
• W4284966409 cites W3137405050 @default.
• W4284966409 cites W3140854437 @default.
• W4284966409 cites W3153044290 @default.
• W4284966409 cites W3155250657 @default.
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