Matches in SemOpenAlex for { <https://semopenalex.org/work/W3138596490> ?p ?o ?g. }
- W3138596490 endingPage "1819" @default.
- W3138596490 startingPage "1799" @default.
- W3138596490 abstract "This paper proposes a SUGPDS model based on Detection and Isolation algorithm and smart sensors, namely micro phasor measurement unit, smart sensing and switching device, phasor data concentrator, and ZigBee technology, etc. for the identification, classification, and isolation of the various fault occurs in the underground power cable in the distribution system. The proposed SUGPDS is a quick and smart tool in supervising, managing, and controlling various faults and issues and maintaining the reliability, stability, and uninterrupted flow of electricity. First, the SUGPDS model is analyzed using a distributed parameter approach. Then, the proper arrangement of the system required for the implantation of SUGPDS is demonstrated using figures. The Phasor data concentrator plays an essential role in developing the detection and classification report for identification and classification. Finally, smart sensing and switching device installed at a different location isolated the faulty phase from a healthy network. This approach helps to decrease power consumption. Hence, SUGPDS has super abilities compared to the underground power distribution system. The effectiveness of the proposed method and model is demonstrated via figures and tables." @default.
- W3138596490 created "2021-03-29" @default.
- W3138596490 creator A5016856410 @default.
- W3138596490 creator A5027719150 @default.
- W3138596490 creator A5045062998 @default.
- W3138596490 creator A5054154744 @default.
- W3138596490 creator A5090428526 @default.
- W3138596490 date "2021-03-17" @default.
- W3138596490 modified "2023-10-14" @default.
- W3138596490 title "A Dynamic-SUGPDS Model for Faults Detection and Isolation of Underground Power Cable Based on Detection and Isolation Algorithm and Smart Sensors" @default.
- W3138596490 cites W135158315 @default.
- W3138596490 cites W1597806619 @default.
- W3138596490 cites W1654016072 @default.
- W3138596490 cites W1994763451 @default.
- W3138596490 cites W2041010714 @default.
- W3138596490 cites W2073887634 @default.
- W3138596490 cites W2262230306 @default.
- W3138596490 cites W2425343555 @default.
- W3138596490 cites W2504157528 @default.
- W3138596490 cites W2519718626 @default.
- W3138596490 cites W2567566086 @default.
- W3138596490 cites W2734556262 @default.
- W3138596490 cites W2740054921 @default.
- W3138596490 cites W2761377305 @default.
- W3138596490 cites W2765089022 @default.
- W3138596490 cites W2783660919 @default.
- W3138596490 cites W2789353113 @default.
- W3138596490 cites W2794390620 @default.
- W3138596490 cites W2795720410 @default.
- W3138596490 cites W2811266418 @default.
- W3138596490 cites W2883204567 @default.
- W3138596490 cites W2884968377 @default.
- W3138596490 cites W2885017419 @default.
- W3138596490 cites W2889316475 @default.
- W3138596490 cites W2891740608 @default.
- W3138596490 cites W2906175627 @default.
- W3138596490 cites W2946712549 @default.
- W3138596490 cites W2949938739 @default.
- W3138596490 cites W2962946100 @default.
- W3138596490 cites W2979765254 @default.
- W3138596490 cites W2986360072 @default.
- W3138596490 cites W2993221663 @default.
- W3138596490 cites W3011998871 @default.
- W3138596490 cites W3013149393 @default.
- W3138596490 cites W3022914786 @default.
- W3138596490 cites W3029400710 @default.
- W3138596490 cites W3032283681 @default.
- W3138596490 cites W3033495745 @default.
- W3138596490 cites W3035855145 @default.
- W3138596490 cites W3039553054 @default.
- W3138596490 cites W3042264487 @default.
- W3138596490 cites W927592489 @default.
- W3138596490 cites W1838513423 @default.
- W3138596490 cites W2765368879 @default.
- W3138596490 doi "https://doi.org/10.1007/s42835-021-00715-7" @default.
- W3138596490 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7968141" @default.
- W3138596490 hasPublicationYear "2021" @default.
- W3138596490 type Work @default.
- W3138596490 sameAs 3138596490 @default.
- W3138596490 citedByCount "7" @default.
- W3138596490 countsByYear W31385964902022 @default.
- W3138596490 countsByYear W31385964902023 @default.
- W3138596490 crossrefType "journal-article" @default.
- W3138596490 hasAuthorship W3138596490A5016856410 @default.
- W3138596490 hasAuthorship W3138596490A5027719150 @default.
- W3138596490 hasAuthorship W3138596490A5045062998 @default.
- W3138596490 hasAuthorship W3138596490A5054154744 @default.
- W3138596490 hasAuthorship W3138596490A5090428526 @default.
- W3138596490 hasBestOaLocation W31385964901 @default.
- W3138596490 hasConcept C116834253 @default.
- W3138596490 hasConcept C119599485 @default.
- W3138596490 hasConcept C121332964 @default.
- W3138596490 hasConcept C127313418 @default.
- W3138596490 hasConcept C127413603 @default.
- W3138596490 hasConcept C152745839 @default.
- W3138596490 hasConcept C15469602 @default.
- W3138596490 hasConcept C163258240 @default.
- W3138596490 hasConcept C165205528 @default.
- W3138596490 hasConcept C172707124 @default.
- W3138596490 hasConcept C175551986 @default.
- W3138596490 hasConcept C176605952 @default.
- W3138596490 hasConcept C24326235 @default.
- W3138596490 hasConcept C2775941552 @default.
- W3138596490 hasConcept C2778229166 @default.
- W3138596490 hasConcept C41008148 @default.
- W3138596490 hasConcept C43214815 @default.
- W3138596490 hasConcept C59822182 @default.
- W3138596490 hasConcept C62520636 @default.
- W3138596490 hasConcept C79403827 @default.
- W3138596490 hasConcept C86803240 @default.
- W3138596490 hasConcept C89227174 @default.
- W3138596490 hasConcept C89423630 @default.
- W3138596490 hasConceptScore W3138596490C116834253 @default.
- W3138596490 hasConceptScore W3138596490C119599485 @default.
- W3138596490 hasConceptScore W3138596490C121332964 @default.
- W3138596490 hasConceptScore W3138596490C127313418 @default.
- W3138596490 hasConceptScore W3138596490C127413603 @default.
- W3138596490 hasConceptScore W3138596490C152745839 @default.