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March 3, 2026SHILAP Revista de lepidopterologíaOpen Access

D-index: an energy-based diagnostic for detecting dynamical transitions in nonstationary time series

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Authors

VKVitaliy KapytinVSV. M. SomsikovAAAlexey Andreyev

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Overview

Observational analysis reveals the D-index effectively detects transitions in nonstationary time series, indicating its potential for predictive analytics.

Key Points

  • The D-index identifies transient regime transitions in nonstationary time series, greatly improving signal analysis accuracy.
  • Experiments demonstrate that the D-index can effectively detect regime shifts in complex systems, even amidst severe noise contamination.
  • Utilizing an energy-based approach, the D-index offers a complementary perspective to traditional probabilistic metrics.
  • This framework enhances operational monitoring capabilities, aiding predictive analytics for complex natural and engineered systems.

Cite This Study

Kapytin et al. (2026) studied this question.

synapsesocial.com/papers/69a75ca4c6e9836116a25ac9https://doi.org/10.1088/2399-6528/ae3ec9
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