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 presents the design, analysis, and evaluation of a method for detection of the performance degradation due to component ageing, after-shock change in parameters, or excess in environmental conditions. The major novelty of this method consists of using a statistical based decision process rather than one-off threshold-based switch for detection of deterioration in performance. The method builds upon the previous observer-based method for abrupt (catastrophic) fault detection, and uses a Cumulative Sum algorithm for detection of slow trends in performance. Firstly, a review outlines the rates of change in various parameters due to ageing of components. The design and a comprehensive analysis of the proposed method are performed offline in MATLAB using an average State Space model. Contrary to previously expensive observer-based methods, the implementation is proposed on a low-cost microcontroller, and demonstrated at a 142 kHz sampling and switching rate. Timing diagrams and resources for implementation are also discussed.

A Low-Cost Observer-Based Evaluation of Slow Performance Deterioration Due to Component Ageing in DC—DC Converters