• DocumentCode
    3612715
  • Title

    Localization of multiple insulators by orientation angle detection and binary shape prior knowledge

  • Author

    Zhenbing Zhao ; Ning Liu ; Le Wang

  • Author_Institution
    Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Baoding, China
  • Volume
    22
  • Issue
    6
  • fYear
    2015
  • fDate
    12/1/2015 12:00:00 AM
  • Firstpage
    3421
  • Lastpage
    3428
  • Abstract
    Failure of insulators leads to failure of transmission system and causes heavy loss to the power sector. This has necessitated helicopter inspection on transmission line. Therefore, localizing insulators in collected aerial image is an essential step for automatic fault detection. This paper proposes a localization method of multiple insulators with different angles in complex aerial image based on Orientation Angle Detection and Binary Shape Prior Knowledge (OAD-BSPK). Detect possible orientation angles of insulators preliminarily. For each possible angle, reserve insulator by its binary shape prior knowledge. Traverse all the possible angles, and multiple insulators can be localized in aerial image finally. This paper uses a large number of real aerial captured images as experimental images. The results show that this method can localize multiple insulators with different orientation angles in complex aerial image, and has higher positioning precision, lower computational complexity and lower time consuming compared with existing methods. This method can meet the requirements of insulators´ real-time and accurate localization.
  • Keywords
    fault diagnosis; insulators; transmission lines; OAD-BSPK; aerial image; automatic fault detection; binary shape prior knowledge; complex aerial image; helicopter inspection; insulator failure; insulators localization; localization method; orientation angle detection; orientation angle detection and binary shape prior knowledge; orientation angles; power sector; reserve insulator; transmission line; transmission system failure; Image edge detection; Image segmentation; Impurities; Insulators; Real-time systems; Shape; Support vector machines; Multiple insulators; aerial image; binary shape prior knowledge; localization; orientation angle;
  • fLanguage
    English
  • Journal_Title
    Dielectrics and Electrical Insulation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1070-9878
  • Type

    jour

  • DOI
    10.1109/TDEI.2015.004741
  • Filename
    7367539