Fatigue prognosis integrating usage monitoring system

Jingjing He, Yongming Liu

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

Abstract

In this paper, a novel fatigue prognosis methodology integrating sensor data from usage monitoring system is proposed. The key concept is to reconstruct the dynamic responses for the critical spots where the direct sensor measurement is unavailable. The sensor data at limited locations measured from usage monitoring system are used as the basis of the reconstruction. Fatigue prognosis for the critical spot is performed using the reconstructed dynamic responses. The Empirical Mode Decomposition (EMD) method with certain intermittency criteria is employed to decompose the sensor measurements into a series of Intrinsic Mode Functions which represent the dynamic responses under mode coordinates. An extrapolation procedure based on the finite element analysis is used to reconstruct the dynamic responses for the critical spot after the decomposition. The extrapolated dynamic responses for the critical spot is then integrated with a physics-based fatigue crack growth model for fatigue damage prognosis. The proposed methodology is demonstrated using a multiple degree-of-freedom cantilever beam problem.

Original languageEnglish (US)
Title of host publicationCollection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
DOIs
StatePublished - 2011
Externally publishedYes
Event52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference - Denver, CO, United States
Duration: Apr 4 2011Apr 7 2011

Other

Other52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
CountryUnited States
CityDenver, CO
Period4/4/114/7/11

Fingerprint

Dynamic response
Fatigue of materials
Monitoring
Sensors
Decomposition
Cantilever beams
Fatigue damage
Fatigue crack propagation
Extrapolation
Physics
Finite element method

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering
  • Materials Science(all)
  • Aerospace Engineering
  • Architecture

Cite this

He, J., & Liu, Y. (2011). Fatigue prognosis integrating usage monitoring system. In Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference [AIAA 2011-1937] https://doi.org/10.2514/6.2011-1937

Fatigue prognosis integrating usage monitoring system. / He, Jingjing; Liu, Yongming.

Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. 2011. AIAA 2011-1937.

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

He, J & Liu, Y 2011, Fatigue prognosis integrating usage monitoring system. in Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference., AIAA 2011-1937, 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Denver, CO, United States, 4/4/11. https://doi.org/10.2514/6.2011-1937
He J, Liu Y. Fatigue prognosis integrating usage monitoring system. In Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. 2011. AIAA 2011-1937 https://doi.org/10.2514/6.2011-1937
He, Jingjing ; Liu, Yongming. / Fatigue prognosis integrating usage monitoring system. Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. 2011.
@inproceedings{1f26a7ba5c1049adb4f4431f342c6f68,
title = "Fatigue prognosis integrating usage monitoring system",
abstract = "In this paper, a novel fatigue prognosis methodology integrating sensor data from usage monitoring system is proposed. The key concept is to reconstruct the dynamic responses for the critical spots where the direct sensor measurement is unavailable. The sensor data at limited locations measured from usage monitoring system are used as the basis of the reconstruction. Fatigue prognosis for the critical spot is performed using the reconstructed dynamic responses. The Empirical Mode Decomposition (EMD) method with certain intermittency criteria is employed to decompose the sensor measurements into a series of Intrinsic Mode Functions which represent the dynamic responses under mode coordinates. An extrapolation procedure based on the finite element analysis is used to reconstruct the dynamic responses for the critical spot after the decomposition. The extrapolated dynamic responses for the critical spot is then integrated with a physics-based fatigue crack growth model for fatigue damage prognosis. The proposed methodology is demonstrated using a multiple degree-of-freedom cantilever beam problem.",
author = "Jingjing He and Yongming Liu",
year = "2011",
doi = "10.2514/6.2011-1937",
language = "English (US)",
isbn = "9781600869518",
booktitle = "Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference",

}

TY - GEN

T1 - Fatigue prognosis integrating usage monitoring system

AU - He, Jingjing

AU - Liu, Yongming

PY - 2011

Y1 - 2011

N2 - In this paper, a novel fatigue prognosis methodology integrating sensor data from usage monitoring system is proposed. The key concept is to reconstruct the dynamic responses for the critical spots where the direct sensor measurement is unavailable. The sensor data at limited locations measured from usage monitoring system are used as the basis of the reconstruction. Fatigue prognosis for the critical spot is performed using the reconstructed dynamic responses. The Empirical Mode Decomposition (EMD) method with certain intermittency criteria is employed to decompose the sensor measurements into a series of Intrinsic Mode Functions which represent the dynamic responses under mode coordinates. An extrapolation procedure based on the finite element analysis is used to reconstruct the dynamic responses for the critical spot after the decomposition. The extrapolated dynamic responses for the critical spot is then integrated with a physics-based fatigue crack growth model for fatigue damage prognosis. The proposed methodology is demonstrated using a multiple degree-of-freedom cantilever beam problem.

AB - In this paper, a novel fatigue prognosis methodology integrating sensor data from usage monitoring system is proposed. The key concept is to reconstruct the dynamic responses for the critical spots where the direct sensor measurement is unavailable. The sensor data at limited locations measured from usage monitoring system are used as the basis of the reconstruction. Fatigue prognosis for the critical spot is performed using the reconstructed dynamic responses. The Empirical Mode Decomposition (EMD) method with certain intermittency criteria is employed to decompose the sensor measurements into a series of Intrinsic Mode Functions which represent the dynamic responses under mode coordinates. An extrapolation procedure based on the finite element analysis is used to reconstruct the dynamic responses for the critical spot after the decomposition. The extrapolated dynamic responses for the critical spot is then integrated with a physics-based fatigue crack growth model for fatigue damage prognosis. The proposed methodology is demonstrated using a multiple degree-of-freedom cantilever beam problem.

UR - http://www.scopus.com/inward/record.url?scp=84872460761&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84872460761&partnerID=8YFLogxK

U2 - 10.2514/6.2011-1937

DO - 10.2514/6.2011-1937

M3 - Conference contribution

AN - SCOPUS:84872460761

SN - 9781600869518

BT - Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference

ER -