Natural and Engineering Systems: A Taxonomy of Failure Modes in Inverse-Problem Diagnostics

This volume collects seven technical notes applying a common inverse-problem framework to different natural and engineering systems: dam seepage, volcanic tremor, network flows, structural health monitoring, chaotic data assimilation, ultrasonic testing of composites, and turbulent intermittency. The results are deliberately mixed: four negative, one positive, two partial. This introduction explains what the seven notes have in common, why their differences matter, and what they jointly say about the limits of inverse-problem diagnostics. The unifying lesson is simple: a diagnostic is a detector, not an oracle. It can tell you where a system is fragile; it cannot tell you when it will break without external physics.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-01
DOI
https://doi.org/10.5281/zenodo.23854761
Primary Topic
Numerical methods in inverse problems
Type
preprint
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Natural and Engineering Systems: A Taxonomy of Failure Modes in Inverse-Problem Diagnostics

Petr Avtonomov
Zenodo (CERN European Organization for Nuclear Research)
Numerical methods in inverse problems
preprint

Natural and Engineering Systems: A Taxonomy of Failure Modes in Inverse-Problem Diagnostics

Petr Avtonomov
preprint en

Abstract

This volume collects seven technical notes applying a common inverse-problem framework to different natural and engineering systems: dam seepage, volcanic tremor, network flows, structural health monitoring, chaotic data assimilation, ultrasonic testing of composites, and turbulent intermittency. The results are deliberately mixed: four negative, one positive, two partial. This introduction explains what the seven notes have in common, why their differences matter, and what they jointly say about the limits of inverse-problem diagnostics. The unifying lesson is simple: a diagnostic is a detector, not an oracle. It can tell you where a system is fragile; it cannot tell you when it will break without external physics.

Zenodo (CERN European Organization for Nuclear Research)
Numerical methods in inverse problems
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