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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

. In order to improve the efficiency of identifyingparameters using the maximum likelihood method and to avoid the sensitivity of initialvalues, a proposed method that combines the micro-genetic algorithm with the advance andretreat method is presented in order to identify the eccentricity of the spindle-toolsystem with random input and output parameters, which obey acertain probability distribution. Eccentricity without prior informationis determined through an iterative procedure. The initial value starts fromzero, and the interval is determined by the advance andretreat method. Then, the optimal value is searched in the corresponding interval,utilizing the micro-genetic algorithm. The initial value and interval at each ofiterations are changed to ensure a fast and stable convergence. Eventually, anumerical example with three kinds of random deviations verifies thefeasibility and validity of the proposed method.

Identification of eccentricity of a motorized spindle-tool system with random parameters