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

The synthetical symptoms of bevel gear is concluded. Using wavelet and mixed data merge does the intelligence diagnosis to the defect of bevel gear , which is integrated with data , characteristic, decision grate and nerve network . A model of wavelet neural network is constructed. In order to reduce no confirm of defect analysis , the excellent diagnosis way is studied with the information of many sources fill and redundant. The result is given that using mixed data merge may raise tolerate character with the help of many sources fill and redundant,and using wavelet and mixed data merge does the effective diagnosis of bevel gear.

The Diagnosis of Forging Bevel Gears on the Information Merge of Wavelet Neural Network