TY - GEN
T1 - Fatigue prognosis integrating usage monitoring system
AU - He, Jingjing
AU - Liu, Yongming
N1 - Funding Information:
The research reported in this paper was supported in part by the NASA ARMD/AvSP IVHM project under NRA NNX09AY54A and in part by NSF (Award No. CMMI-0900111, Project Manager: Dr. Mahendra Singh). The support is gratefully acknowledged.
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.
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U2 - 10.2514/6.2011-1937
DO - 10.2514/6.2011-1937
M3 - Conference contribution
AN - SCOPUS:84872460761
SN - 9781600869518
T3 - Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
BT - 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
T2 - 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
Y2 - 4 April 2011 through 7 April 2011
ER -