Please wait, while we are loading the content...
Please wait, while we are loading the content...
| Content Provider | frontiers |
|---|---|
| Author | Ding, Jian Cao, Haonan Ding, Xulin An, Chenghui |
| Abstract | Insulator string is a special insulation component, which plays an important role in overhead transmission lines. However, working outdoors for a long time, insulators often have defects because of various environment and weather conditions, which affect the normal operation of transmission lines and even cause huge economic losses. Therefore, insulator defect recognition is a crucial issue. Traditional insulator defect identification relies on manual work, which is time consuming and inefficient. Therefore, the use of artificial intelligence to detect the defect location and recognize the class of it has become a key research field. By improving the classical YOLOv5 (you only look once) model, this paper proposes a new method to enable high accuracy and real-time detection. Our method has three advantages: (1) Efficient-IoU (EIoU) replaces intersection over union (IoU) to calculate the loss of box regression, which overcomes that the detection is sensitive to various scales insulators in aerial images. (2) Since YOLOv5 itself detect some natural scene in real word, some anchors setting by default are not suitable for defect detection, this paper introduces Assumption-free K-MC2 (AFK-MC2) algorithm into YOLOv5 to modify K-means algorithm to improve accuracy and speed. (3) The cluster non-maximum suppression (Cluster-NMS) algorithm is introduced to avoid missing detection of insulators because of mutual occlusion in images and improve the computation speed at the same time. The experiments results show that this model can improve detection accuracy compared with YOLOv5 and realize real time detection. |
| ISSN | 2296598X |
| DOI | 10.3389/fenrg.2022.928164 |
| Volume Number | 10 |
| Journal | Frontiers in Energy Research |
| Language | English |
| Publisher Date | 2022-07-08 |
| Access Restriction | Open |
| Subject Keyword | Cluster-NMS Deep learning EIoU loss Detection of insulators YOLOv5 algorithm |
| Content Type | Text |
| Resource Type | Article |
| Subject | Economics and Econometrics Renewable Energy, Sustainability and the Environment Fuel Technology Energy Engineering and Power Technology |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
Sanctioning Authority | https://www.education.gov.in/ict-initiatives |
| 2 | Indian Institute of Technology Kharagpur | Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project | https://www.iitkgp.ac.in |
| 3 | National Digital Library of India Office, Indian Institute of Technology Kharagpur | The administrative and infrastructural headquarters of the project | Dr. B. Sutradhar bsutra@ndl.gov.in |
| 4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
| 5 | Website/Portal (Helpdesk) | Queries regarding NDLI and its services | support@ndl.gov.in |
| 6 | Contents and Copyright Issues | Queries related to content curation and copyright issues | content@ndl.gov.in |
| 7 | National Digital Library of India Club (NDLI Club) | Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach | clubsupport@ndl.gov.in |
| 8 | Digital Preservation Centre (DPC) | Assistance with digitizing and archiving copyright-free printed books | dpc@ndl.gov.in |
| 9 | IDR Setup or Support | Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops | idr@ndl.gov.in |
|
Loading...
|