Irreversibility-based measure of slowly evolving anomalies

Abhishek Srivastav, Asok Ray, Shalabh Gupta

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

2 Scopus citations

Abstract

This paper presents formulation and experimental validation of a novel real-time analytical tool for detection of slowly evolving anomalies (e.g., incipient faults and their growth) in dynamical systems. The measure of anomaly is built upon the concept of thermodynamic irreversibility (i.e., deviation of the system trajectory from the respective reversible path of equilibrium state transitions) and is derived as the distance of the estimated system states from the respective (ideal) equilibrium states on the evolution trajectory. The proposed anomaly detection method has been applied to track fatigue damage growth in test specimens of polycrystalline (e.g., 707S-T6 Aluminium) alloys subjected to cyclic loading. The results of experimentation on a laboratory test apparatus are presented to validate the theoretical concept in both crack initiation and crack propagation phases.

Original languageEnglish (US)
Title of host publicationProceedings of the 2007 American Control Conference, ACC
Pages3228-3233
Number of pages6
DOIs
StatePublished - Dec 1 2007
Event2007 American Control Conference, ACC - New York, NY, United States
Duration: Jul 9 2007Jul 13 2007

Publication series

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

Other

Other2007 American Control Conference, ACC
CountryUnited States
CityNew York, NY
Period7/9/077/13/07

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Irreversibility-based measure of slowly evolving anomalies'. Together they form a unique fingerprint.

  • Cite this

    Srivastav, A., Ray, A., & Gupta, S. (2007). Irreversibility-based measure of slowly evolving anomalies. In Proceedings of the 2007 American Control Conference, ACC (pp. 3228-3233). [4282880] (Proceedings of the American Control Conference). https://doi.org/10.1109/ACC.2007.4282880