A real time estimation of crack growth rate oc-curring in a high strength low alloy DMR 249A steel in an in-situ acoustic emission monitoring setup for fatigue crack propagation was done. This investigation was carried out for structural health monitoring of ships where compact tension specimen was subjected to real sea state condition with sea state value of 4. The work focuses on building a relationship between crack growth rate and acoustic emission signal acquired from acoustic emission sensors. A methodology which could predict the degradation occurring in ship steel when subjected to fatigue load was developed. In this regard, a phase space reconstruction based methodology has been introduced which could predict the crack growth rate in this material with an accuracy of 95%. © 2022 IEEE.

Amit Acharyya

Department of Electrical Engineering

P. Bhange

D. Kumar Joshi

S.K. Pandu

K. Mankari

S.G. Acharyya

K. Sridhar

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2022 IEEE 13th Latin American Symposium on Circuits and Systems, LASCAS 2022

Phase Space Reconstruction Based Real Time Fatigue Crack Growth Estimation for Structural Health Monitoring Ships

Journal	Data powered by Typeset2022 IEEE 13th Latin American Symposium on Circuits and Systems, LASCAS 2022
Publisher	Data powered by TypesetInstitute of Electrical and Electronics Engineers Inc.