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 study presents an optimization method of sliding windows parameters selection in the features extraction procedure in cyber physical systems during data processing of the technical condition of energy and electric infrastructure facilities. The method is based on utilizing genetic algorithm and objective functions related to the quality of the classification of the defects by hazard degree. Proposed method was verified on the experimental data acquired from the technical condition monitoring of the vertical oil tanks. The results obtained from the experiment confirm the proposal that this method can be applied for effectively solving problems related to features extraction in monitoring, risk management and classification of maintenance defects in the power and electrical engineering facilities.

Optimization of the features extraction method in cyber physical systems of monitoring energy infrastructure facilities