Detection of fatigue crack anomaly: A symbolic dynamics approach

Amol Khatkhate, Asok Ray, Shin Chin, Venkatesh Rajagopalan, Eric Keller

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

6 Scopus citations

Abstract

This paper presents a novel method for early detection of fatigue crack anomaly in complex mechanical structures, which is built upon the concepts of Symbolic Dynamics and Finite State Machines. The experimental apparatus, on which the crack detection method is tested, is a multi-degree of freedom mass-beam structure excited by oscillatory motion of two vibrators. The evolution of fatigue crack at one or more of the three failure sites causes slow variations in the natural frequencies of the mechanical structure, which are detected at an early stage from the time series data of displacement sensor signals. The proposed anomaly detection method has been validated by comparison with existing pattern recognition techniques.

Original languageEnglish (US)
Title of host publicationProceedings of the 2004 American Control Conference (AAC)
Pages3741-3746
Number of pages6
DOIs
StatePublished - Nov 29 2004
EventProceedings of the 2004 American Control Conference (AAC) - Boston, MA, United States
Duration: Jun 30 2004Jul 2 2004

Publication series

NameProceedings of the American Control Conference
Volume4
ISSN (Print)0743-1619

Other

OtherProceedings of the 2004 American Control Conference (AAC)
CountryUnited States
CityBoston, MA
Period6/30/047/2/04

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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