Research on a Lamb Wave and Particle Filter Based On Line Crack Propagation Prognosis Method
Prognostics 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.
Sensors