SHMTools: A new embeddable software package for SHM applications

Eric B. Flynn, Samory Kpotufe, Dustin Harvey, Eloi Figueiredo, Stuart Taylor, Denis Dondi, Todor Mollov, Michal D. Todd, Tajana Simunic Rosing, Gyuhae Park, Charles Farrar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

This paper describes a new software package, SHMTools, for prototyping algorithms for various structural health monitoring (SHM) applications. The software includes a set of standardized MATLAB routines covering three main stages of SHM: data acquisition, feature extraction, and feature classification for damage identification. A subset of the software in SHMTools is embeddable, which consists of Matlab functions that can be cross-compiled into generic "C" programs to be run on a target hardware. The software is designed to accommodate multiple sensing modalities, including piezoelectric active-sensing, which have become widely used in SHM practice. The software package, standardized datasets, and detailed documentation are publicly available for use by the SHM community. The details of this software will be discussed, along with several example processes to demonstrate its utility.

Original languageEnglish (US)
Title of host publicationSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010
DOIs
StatePublished - 2010
EventSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010 - San Diego, CA, United States
Duration: Mar 8 2010Mar 11 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7647
ISSN (Print)0277-786X

Other

OtherSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010
Country/TerritoryUnited States
CitySan Diego, CA
Period3/8/103/11/10

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Keywords

  • Embedded software
  • Structural health monitoring

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