Fatigue Life Prediction of Wire Rope Based on Grey Particle Filter
Method under Small Sample Condition
Abstract
As the fatigue life prediction of wire rope has the defects of large
samples and many interference factors, this paper takes the 6×31WS+FC
type wire rope as research carrier. Based on small samples, the grey
particle filter method has been creatively proposed to realize the wire
rope fatigue life prediction under various load conditions. First,
combining the reliability life data prediction with the equivalent
alternating stress of the dangerous part during the fatigue test, the
reliability stress-life curve was determined. Subsequently, the particle
filter method has been used to modify the curve to obtain the modified
P-S-N curve. Finally, with theory of fatigue damage accumulation, the
fatigue life prediction model was established, and compared with the
test results. The results show that based on small sample conditions,
the proposed method can predict the fatigue life of wire ropes under
various loading conditions with high precision, which proves the general
applicability.