TY - GEN
T1 - Sensor optimization for progressive damage diagnosis in complex structures
AU - Zhou, Wenfan
AU - Kovvali, Narayan
AU - Papandreou-Suppappola, Antonia
AU - Chattopadhyay, Aditi
PY - 2010
Y1 - 2010
N2 - We propose a sequential Monte Carlo (SMC) based progressive structural damage diagnosis framework that tracks damage by integrating information from physics-based damage evolution models and using stochastic relationships between the measurements and the damage. The approach described in this paper adaptively configures the sensors used to collect the measurements using the minimum predicted mean squared error (MSE) as the performance metric. Optimization is performed globally over the entire search space of all available sensors. Results are presented for the diagnosis of fatigue damage in a notched laminate, demonstrating the effectiveness of the proposed method.
AB - We propose a sequential Monte Carlo (SMC) based progressive structural damage diagnosis framework that tracks damage by integrating information from physics-based damage evolution models and using stochastic relationships between the measurements and the damage. The approach described in this paper adaptively configures the sensors used to collect the measurements using the minimum predicted mean squared error (MSE) as the performance metric. Optimization is performed globally over the entire search space of all available sensors. Results are presented for the diagnosis of fatigue damage in a notched laminate, demonstrating the effectiveness of the proposed method.
KW - Hidden Markov model
KW - Particle filter
KW - Progressive damage diagnosis
KW - Sensor optimization
KW - Sequential Monte Carlo
KW - Structural health monitoring
UR - http://www.scopus.com/inward/record.url?scp=77953485021&partnerID=8YFLogxK
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U2 - 10.1117/12.848910
DO - 10.1117/12.848910
M3 - Conference contribution
AN - SCOPUS:77953485021
SN - 9780819480651
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Health Monitoring of Structural and Biological Systems 2010
T2 - Health Monitoring of Structural and Biological Systems 2010
Y2 - 8 March 2010 through 11 March 2010
ER -