English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This paper proposed a power network line damage identification method based on image feature analysis. By extracting and analyzing outline features, shape features and statistical characteristics of electric power network images, the classification results of all the sub images of all the to-be-matched vein images are fused, whether this image matches the power network line breakage characteristics is judged, so as to realize the power network lines' damage identification, solve the problem of the traditional line identification method as a result of the kinds of line breakage it can analyze is limited and it can't complete lines' damage identification problem effectively.The simulation results show that the proposed method has high identification accuracy.

Study of power network line damage identification based on image feature analysis