Electrical Infrastructure Monitoring: Case of NTDCL’s 500kV Network Insulator Detection With YoloV8
<p dir="ltr">High voltage electrical infrastructure inspection requires condition monitoring of transmission line assets to avoid any possible failures or emergency. Detection of insulators in strings is linked with electrical infrastructure monitoring pertaining to the insulator fau...
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2025
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| _version_ | 1864513525559328768 |
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| author | Shafi Muhammad Jiskani (22928323) |
| author2 | Tanweer Hussain (6790679) Anwar Ali Sahito (22928326) Faheemullah Shaikh (20725064) Laveet Kumar (11460088) |
| author2_role | author author author author |
| author_facet | Shafi Muhammad Jiskani (22928323) Tanweer Hussain (6790679) Anwar Ali Sahito (22928326) Faheemullah Shaikh (20725064) Laveet Kumar (11460088) |
| author_role | author |
| dc.creator.none.fl_str_mv | Shafi Muhammad Jiskani (22928323) Tanweer Hussain (6790679) Anwar Ali Sahito (22928326) Faheemullah Shaikh (20725064) Laveet Kumar (11460088) |
| dc.date.none.fl_str_mv | 2025-08-04T06:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/oajpe.2025.3592698 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Electrical_Infrastructure_Monitoring_Case_of_NTDCL_s_500kV_Network_Insulator_Detection_With_YoloV8/30971350 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Electrical engineering Electronics, sensors and digital hardware Information and computing sciences Artificial intelligence Computer vision and multimedia computation Condition monitoring insulator detection indigenous dataset NTDCL Pakistan You Only Look Once (YOLO) Insulators Monitoring Power transmission lines Accuracy Autonomous aerial vehicles Inspection Deep learning Poles and towers |
| dc.title.none.fl_str_mv | Electrical Infrastructure Monitoring: Case of NTDCL’s 500kV Network Insulator Detection With YoloV8 |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">High voltage electrical infrastructure inspection requires condition monitoring of transmission line assets to avoid any possible failures or emergency. Detection of insulators in strings is linked with electrical infrastructure monitoring pertaining to the insulator fault classification. The dataset widely available for insulator monitoring are either synthetic, lab created or publicly not available. In this paper, an indigenous dataset is created using Autonomous Aerial Vehicles (AAV) technology, capturing images in diverse topographical ambience across different transmission lines/circuits managed by National transmission and dispatch company ltd. in Pakistan. For detection of insulators in string, object detector model You Only Look Once-version 8 (YOLOv8n) is trained on created dataset of 3618 images, 603 being original and other augmented, after preprocessing and augmentation techniques were applied. The model’s performance is up to the mark with accuracy of 92%. The precision and recall being 0.95 and 0.90 respectively, whereas F1 score of the model peaked at 0.95 at confidence level of 0.652.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: IEEE Open Access Journal of Power and Energy<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/oajpe.2025.3592698" target="_blank">https://dx.doi.org/10.1109/oajpe.2025.3592698</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_0ddac7874bb02f033c901dd2ddcc4d8a |
| identifier_str_mv | 10.1109/oajpe.2025.3592698 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/30971350 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Electrical Infrastructure Monitoring: Case of NTDCL’s 500kV Network Insulator Detection With YoloV8Shafi Muhammad Jiskani (22928323)Tanweer Hussain (6790679)Anwar Ali Sahito (22928326)Faheemullah Shaikh (20725064)Laveet Kumar (11460088)EngineeringElectrical engineeringElectronics, sensors and digital hardwareInformation and computing sciencesArtificial intelligenceComputer vision and multimedia computationCondition monitoringinsulator detectionindigenous datasetNTDCL PakistanYou Only Look Once (YOLO)InsulatorsMonitoringPower transmission linesAccuracyAutonomous aerial vehiclesInspectionDeep learningPoles and towers<p dir="ltr">High voltage electrical infrastructure inspection requires condition monitoring of transmission line assets to avoid any possible failures or emergency. Detection of insulators in strings is linked with electrical infrastructure monitoring pertaining to the insulator fault classification. The dataset widely available for insulator monitoring are either synthetic, lab created or publicly not available. In this paper, an indigenous dataset is created using Autonomous Aerial Vehicles (AAV) technology, capturing images in diverse topographical ambience across different transmission lines/circuits managed by National transmission and dispatch company ltd. in Pakistan. For detection of insulators in string, object detector model You Only Look Once-version 8 (YOLOv8n) is trained on created dataset of 3618 images, 603 being original and other augmented, after preprocessing and augmentation techniques were applied. The model’s performance is up to the mark with accuracy of 92%. The precision and recall being 0.95 and 0.90 respectively, whereas F1 score of the model peaked at 0.95 at confidence level of 0.652.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: IEEE Open Access Journal of Power and Energy<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/oajpe.2025.3592698" target="_blank">https://dx.doi.org/10.1109/oajpe.2025.3592698</a></p>2025-08-04T06:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/oajpe.2025.3592698https://figshare.com/articles/journal_contribution/Electrical_Infrastructure_Monitoring_Case_of_NTDCL_s_500kV_Network_Insulator_Detection_With_YoloV8/30971350CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/309713502025-08-04T06:00:00Z |
| spellingShingle | Electrical Infrastructure Monitoring: Case of NTDCL’s 500kV Network Insulator Detection With YoloV8 Shafi Muhammad Jiskani (22928323) Engineering Electrical engineering Electronics, sensors and digital hardware Information and computing sciences Artificial intelligence Computer vision and multimedia computation Condition monitoring insulator detection indigenous dataset NTDCL Pakistan You Only Look Once (YOLO) Insulators Monitoring Power transmission lines Accuracy Autonomous aerial vehicles Inspection Deep learning Poles and towers |
| status_str | publishedVersion |
| title | Electrical Infrastructure Monitoring: Case of NTDCL’s 500kV Network Insulator Detection With YoloV8 |
| title_full | Electrical Infrastructure Monitoring: Case of NTDCL’s 500kV Network Insulator Detection With YoloV8 |
| title_fullStr | Electrical Infrastructure Monitoring: Case of NTDCL’s 500kV Network Insulator Detection With YoloV8 |
| title_full_unstemmed | Electrical Infrastructure Monitoring: Case of NTDCL’s 500kV Network Insulator Detection With YoloV8 |
| title_short | Electrical Infrastructure Monitoring: Case of NTDCL’s 500kV Network Insulator Detection With YoloV8 |
| title_sort | Electrical Infrastructure Monitoring: Case of NTDCL’s 500kV Network Insulator Detection With YoloV8 |
| topic | Engineering Electrical engineering Electronics, sensors and digital hardware Information and computing sciences Artificial intelligence Computer vision and multimedia computation Condition monitoring insulator detection indigenous dataset NTDCL Pakistan You Only Look Once (YOLO) Insulators Monitoring Power transmission lines Accuracy Autonomous aerial vehicles Inspection Deep learning Poles and towers |