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ZENODO
Report . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2026
License: CC BY
Data sources: Datacite
ZENODO
Report . 2026
License: CC BY
Data sources: Datacite
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Eormen: A Deterministic, Non-Interfering System for Observational Sensitivity in Complex Dynamics

Authors: Palmer, Leroy A.;

Eormen: A Deterministic, Non-Interfering System for Observational Sensitivity in Complex Dynamics

Abstract

This work presents Eormen, a deterministic, non-interfering observational system designed to evaluate structural sensitivity in complex dynamical traces under strict architectural constraints. Eormen separates frozen reality generation from observer replay, ensuring that observational channels cannot alter the underlying generative process. This architectural separation enables explicit determinism, non-interference verification, and reproducible replay under fixed runtime and coefficient artefacts. The study proceeds in two stages. First, integrity is established at scale using publicly available NASA C-MAPSS datasets. Across 609 completed runs spanning FD002, FD003, and FD004 subsets, strict theorem-gated execution passed without failure, demonstrating deterministic stability and non-interference under locked configuration. Second, an observational sensitivity phase (v2-OBS) evaluates system response to structured, theorem-legal perturbations. An initial pre-excitation phase demonstrated suppressed observer response despite measurable reality perturbation. A subsequent theorem-preserving, one-way observer excitation mechanism restored non-trivial observer dynamics without introducing feedback into the generative trace. Dual acceptance regimes are explicitly retained: v1 (legacy monotone calibration criterion): not satisfied. v2 (control-to-high sensitivity criterion): satisfied and designated as the primary acceptance regime for this phase. The work establishes reproducible observational sensitivity under deterministic and non-interfering constraints. It does not claim monotone calibration, predictive performance, remaining useful life estimation, optimisation capability, or policy recommendation. All results are traceable to fixed artefact roots and recorded provenance metadata.

Keywords

EORMEN, Reproducible computation, Complex systems analysis, Deterministic systems, Observational sensitivity, System diagnostics, Complex Systems, Condition monitoring, Dynamical systems, Non-interference architecture, Engineering systems, Structural dynamics, Signal structure analysis, NASA, Computational integrity, Observer-based systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average