Research on a Lamb Wave and Particle Filter-Based On-Line Crack Propagation Prognosis Method
AbstractPrognostics and health management techniques have drawn widespread attention due to their ability to facilitate maintenance activities based on need. On-line prognosis of fatigue crack propagation can offer information for optimizing operation and maintenance strategies in real-time. This paper proposes a Lamb wave-particle filter (LW-PF)-based method for on-line prognosis of fatigue crack propagation which takes advantages of the possibility of on-line monitoring to evaluate the actual crack length and uses a particle filter to deal with the crack evolution and monitoring uncertainties. The piezoelectric transducers (PZTs)-based active Lamb wave method is adopted for on-line crack monitoring. The state space model relating to crack propagation is established by the data-driven and finite element methods. Fatigue experiments performed on hole-edge crack specimens have validated the advantages of the proposed method. View Full-Text
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Chen, J.; Yuan, S.; Qiu, L.; Cai, J.; Yang, W. Research on a Lamb Wave and Particle Filter-Based On-Line Crack Propagation Prognosis Method. Sensors 2016, 16, 320.
Chen J, Yuan S, Qiu L, Cai J, Yang W. Research on a Lamb Wave and Particle Filter-Based On-Line Crack Propagation Prognosis Method. Sensors. 2016; 16(3):320.Chicago/Turabian Style
Chen, Jian; Yuan, Shenfang; Qiu, Lei; Cai, Jian; Yang, Weibo. 2016. "Research on a Lamb Wave and Particle Filter-Based On-Line Crack Propagation Prognosis Method." Sensors 16, no. 3: 320.
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