Detection of fatigue crack anomaly: A symbolic dynamics approach

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

doi:10.1109/ACC.2004.182869

Detection of fatigue crack anomaly: A symbolic dynamics approach

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

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 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 language	English (US)
Title of host publication	Proceedings of the 2004 American Control Conference (AAC)
Pages	3741-3746
Number of pages	6
DOIs	https://doi.org/10.1109/ACC.2004.182869
State	Published - 2004
Event	Proceedings of the 2004 American Control Conference (AAC) - Boston, MA, United States Duration: Jun 30 2004 → Jul 2 2004

Publication series

Name	Proceedings of the American Control Conference
Volume	4
ISSN (Print)	0743-1619

Other

Other	Proceedings of the 2004 American Control Conference (AAC)
Country/Territory	United States
City	Boston, MA
Period	6/30/04 → 7/2/04

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/ACC.2004.182869

Cite this

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title = "Detection of fatigue crack anomaly: A symbolic dynamics approach",

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.",

author = "Amol Khatkhate and Asok Ray and Shin Chin and Venkatesh Rajagopalan and Eric Keller",

year = "2004",

doi = "10.1109/ACC.2004.182869",

language = "English (US)",

isbn = "0780383354",

series = "Proceedings of the American Control Conference",

pages = "3741--3746",

booktitle = "Proceedings of the 2004 American Control Conference (AAC)",

note = "Proceedings of the 2004 American Control Conference (AAC) ; Conference date: 30-06-2004 Through 02-07-2004",

}

Khatkhate, A, Ray, A, Chin, S, Rajagopalan, V & Keller, E 2004, Detection of fatigue crack anomaly: A symbolic dynamics approach. in Proceedings of the 2004 American Control Conference (AAC). Proceedings of the American Control Conference, vol. 4, pp. 3741-3746, Proceedings of the 2004 American Control Conference (AAC), Boston, MA, United States, 6/30/04. https://doi.org/10.1109/ACC.2004.182869

TY - GEN

T1 - Detection of fatigue crack anomaly

T2 - Proceedings of the 2004 American Control Conference (AAC)

AU - Khatkhate, Amol

AU - Ray, Asok

AU - Chin, Shin

AU - Rajagopalan, Venkatesh

AU - Keller, Eric

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

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DO - 10.1109/ACC.2004.182869

M3 - Conference contribution

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T3 - Proceedings of the American Control Conference

SP - 3741

EP - 3746

BT - Proceedings of the 2004 American Control Conference (AAC)

Y2 - 30 June 2004 through 2 July 2004

ER -

Detection of fatigue crack anomaly: A symbolic dynamics approach

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