Complexity: A New Axiom for Structural Health Monitoring?

Abstract

The basic purpose of the paper is simple; having proposed a set of axioms or "basic truths" regarding Structural Health Monitoring (SHM) in a previous paper, the authors would like to extend the set by the proposal for a new axiom. This axiom relates to an observation that the presence of damage in a structure or system usually results in increased complexity of measured responses or features. It is argued that this observation could lead to principled means of selecting effective features for SHM.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2010
Accession Number
ADA544175

Entities

People

  • Charles Farrar
  • Gyuhae Park
  • Keith Worden

Organizations

  • Los Alamos National Laboratory

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Abstracts
  • Data Science
  • Dimensionality Reduction
  • Distribution Functions
  • Engineering
  • Feature Extraction
  • Feature Selection
  • Information Theory
  • Monitoring
  • New Mexico
  • Power Spectra
  • Probability
  • Probability Distribution Functions
  • Probability Distributions
  • Signal Processing
  • Structural Health Monitoring
  • Wave Propagation

Readers

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