Early detection of fatigue damage using escort distributions of ultrasonic data sequences

Dheeraj Sharan Singh, Shalabh Gupta, Subhadeep Chakraborthy, Asok Ray

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


This paper presents real-time detection of fatigue damage in mechanical structures using ultrasonic sensing methodology. The data-driven pattern identification method for anomaly detection is based on the tools derived from Statistical Mechanics and Symbolic Dynamics. The concept of Escort Distributions has been used to identify the behavioral patterns changes in complex systems due to gradual evolution of anomalies. The real-time information of evolving fatigue damage provides early warnings of forthcoming catastrophic failures. The anomaly detection method has been experimentally validated on poly-crystalline alloys using ultrasonic data generated from a fatigue damage testing apparatus.

Original languageEnglish (US)
Title of host publication2008 American Control Conference, ACC
Number of pages6
StatePublished - 2008
Event2008 American Control Conference, ACC - Seattle, WA, United States
Duration: Jun 11 2008Jun 13 2008

Publication series

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


Other2008 American Control Conference, ACC
Country/TerritoryUnited States
CitySeattle, WA

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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