Symbolic encoding of analytic signals for structural monitoring of power systems

Murat Yasar, Subhadeep Chakraborty, Eric Keller, Gaurav Bajpai, Asok Ray

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

Abstract

This work aims to develop a novel non-destructive technique for real-time condition monitoring to enhance reliability and availability of fossil power systems during steady-state and transient operations. We focused on mechanical fatigue in plant components with the specific objectives of detection and identification of failure precursors, and compression of pertinent damage information to enable transmission over a wireless communication network. A symbolic encoding based technique is employed that utilizes analytic representation of ultrasonic signals for monitoring crack formation and propagation. The signal processing tools are implemented in MATLAB/Simulink environment, for which the direct code generation capability enables the algorithms to be executed on the microprocessor in real-time.

Original languageEnglish (US)
Title of host publicationProceedings of the 2011 American Control Conference, ACC 2011
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5157-5162
Number of pages6
ISBN (Print)9781457700804
DOIs
StatePublished - Jan 1 2011

Publication series

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

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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  • Cite this

    Yasar, M., Chakraborty, S., Keller, E., Bajpai, G., & Ray, A. (2011). Symbolic encoding of analytic signals for structural monitoring of power systems. In Proceedings of the 2011 American Control Conference, ACC 2011 (pp. 5157-5162). [5990760] (Proceedings of the American Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/acc.2011.5990760