FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3000301935> ?p ?o ?g. }

• W3000301935 endingPage "5355" @default.
• W3000301935 startingPage "5345" @default.
• W3000301935 abstract "As an onsite condition monitoring method, an infrared inspection can help to discover and analyze abnormal temperature increases in power equipment. For improving the efficiency of the onsite diagnosis of insulators in substations, this article proposes an automatic diagnosis method using instance segmentation and temperature analysis of infrared insulator images. For developing this method, thousands of infrared images from field inspection databases were collected to establish an annotated data set of insulator images. With the aid of the Mask R-convolutional neural network (CNN), it was possible to extract multiple insulators automatically in the infrared images. Transfer learning, as well as the dynamic learning rate algorithm, were then employed to realize the training process of Mask R-CNN with the annotated image data set. The result of the testing experiment showed that the mean Average Precision (mAP) of the model is 0.77, and the frame per second (FPS) is 5.07, which indicated great identification accuracy and computing speed of the proposed model. Next, function fitting was realized to extract the temperature distribution of each insulator. Finally, to evaluate the condition of each insulator, rules, which are based on the related standards, were established using machine language. This is the first time that the machine could independently realize fault analysis of multiple insulators in the infrared images, which is a great attempt to adapt the development of the Internet of Things and the tendency of predictive maintenance. Moreover, because of the universality of the model algorithm used, automatic infrared fault diagnosis for other power equipment could also be performed in a similar manner, which has significant potential applicability in the area of power equipment diagnosis." @default.
• W3000301935 created "2020-01-23" @default.
• W3000301935 creator A5000329436 @default.
• W3000301935 creator A5001173728 @default.
• W3000301935 creator A5025219585 @default.
• W3000301935 creator A5061907305 @default.
• W3000301935 creator A5066874244 @default.
• W3000301935 creator A5072915869 @default.
• W3000301935 creator A5087486355 @default.
• W3000301935 date "2020-08-01" @default.
• W3000301935 modified "2023-10-17" @default.
• W3000301935 title "Automatic Fault Diagnosis of Infrared Insulator Images Based on Image Instance Segmentation and Temperature Analysis" @default.
• W3000301935 cites W1536680647 @default.
• W3000301935 cites W1996388494 @default.
• W3000301935 cites W2058927506 @default.
• W3000301935 cites W2070455027 @default.
• W3000301935 cites W2138024754 @default.
• W3000301935 cites W2161381512 @default.
• W3000301935 cites W2183182206 @default.
• W3000301935 cites W2217490359 @default.
• W3000301935 cites W2231257081 @default.
• W3000301935 cites W2545065926 @default.
• W3000301935 cites W2550512190 @default.
• W3000301935 cites W2605182779 @default.
• W3000301935 cites W2605486153 @default.
• W3000301935 cites W2789759420 @default.
• W3000301935 cites W2800332211 @default.
• W3000301935 cites W2811266402 @default.
• W3000301935 cites W2885605338 @default.
• W3000301935 cites W2890014043 @default.
• W3000301935 cites W2892087253 @default.
• W3000301935 cites W2892127746 @default.
• W3000301935 cites W2904727193 @default.
• W3000301935 cites W2910965832 @default.
• W3000301935 cites W2912420051 @default.
• W3000301935 cites W2918117471 @default.
• W3000301935 cites W2920805604 @default.
• W3000301935 cites W2921736909 @default.
• W3000301935 cites W2946012733 @default.
• W3000301935 cites W2963150697 @default.
• W3000301935 cites W2963361270 @default.
• W3000301935 cites W639708223 @default.
• W3000301935 doi "https://doi.org/10.1109/tim.2020.2965635" @default.
• W3000301935 hasPublicationYear "2020" @default.
• W3000301935 type Work @default.
• W3000301935 sameAs 3000301935 @default.
• W3000301935 citedByCount "84" @default.
• W3000301935 countsByYear W30003019352020 @default.
• W3000301935 countsByYear W30003019352021 @default.
• W3000301935 countsByYear W30003019352022 @default.
• W3000301935 countsByYear W30003019352023 @default.
• W3000301935 crossrefType "journal-article" @default.
• W3000301935 hasAuthorship W3000301935A5000329436 @default.
• W3000301935 hasAuthorship W3000301935A5001173728 @default.
• W3000301935 hasAuthorship W3000301935A5025219585 @default.
• W3000301935 hasAuthorship W3000301935A5061907305 @default.
• W3000301935 hasAuthorship W3000301935A5066874244 @default.
• W3000301935 hasAuthorship W3000301935A5072915869 @default.
• W3000301935 hasAuthorship W3000301935A5087486355 @default.
• W3000301935 hasConcept C120665830 @default.
• W3000301935 hasConcept C121332964 @default.
• W3000301935 hasConcept C124504099 @default.
• W3000301935 hasConcept C153180895 @default.
• W3000301935 hasConcept C154945302 @default.
• W3000301935 hasConcept C158355884 @default.
• W3000301935 hasConcept C192562407 @default.
• W3000301935 hasConcept C212702 @default.
• W3000301935 hasConcept C31972630 @default.
• W3000301935 hasConcept C41008148 @default.
• W3000301935 hasConcept C49040817 @default.
• W3000301935 hasConcept C62520636 @default.
• W3000301935 hasConcept C72293138 @default.
• W3000301935 hasConcept C89600930 @default.
• W3000301935 hasConceptScore W3000301935C120665830 @default.
• W3000301935 hasConceptScore W3000301935C121332964 @default.
• W3000301935 hasConceptScore W3000301935C124504099 @default.
• W3000301935 hasConceptScore W3000301935C153180895 @default.
• W3000301935 hasConceptScore W3000301935C154945302 @default.
• W3000301935 hasConceptScore W3000301935C158355884 @default.
• W3000301935 hasConceptScore W3000301935C192562407 @default.
• W3000301935 hasConceptScore W3000301935C212702 @default.
• W3000301935 hasConceptScore W3000301935C31972630 @default.
• W3000301935 hasConceptScore W3000301935C41008148 @default.
• W3000301935 hasConceptScore W3000301935C49040817 @default.
• W3000301935 hasConceptScore W3000301935C62520636 @default.
• W3000301935 hasConceptScore W3000301935C72293138 @default.
• W3000301935 hasConceptScore W3000301935C89600930 @default.
• W3000301935 hasFunder F4320321001 @default.
• W3000301935 hasFunder F4320335777 @default.
• W3000301935 hasIssue "8" @default.
• W3000301935 hasLocation W30003019351 @default.
• W3000301935 hasOpenAccess W3000301935 @default.
• W3000301935 hasPrimaryLocation W30003019351 @default.
• W3000301935 hasRelatedWork W1507266234 @default.
• W3000301935 hasRelatedWork W1631910785 @default.
• W3000301935 hasRelatedWork W1669643531 @default.
• W3000301935 hasRelatedWork W1721780360 @default.
• W3000301935 hasRelatedWork W2110230079 @default.

• next