Vol.20, Special Issue, 2020, pp. S5–S9
UDC:

The present work is based on the development of a fault detection method for moving load dynamics problem in the domain of statistical process control (SPC) analysis. The proposed work is aimed to find out the probable existence of cracks and its locations on structure subjected to moving load. In the present analysis, a multi-cracked cantilever beam subjected to a moving load has been considered. The feasible existences and positions of cracks on the structure are spotted from the calculated dynamic responses of the cracked beam. The dynamic responses of the structure are determined using Runge-Kutta approach followed by finite element analysis (FEA) verifications as forward problem analysis. The control chart mechanism has been initially included to find out the potential existences of cracks in the pattern of SPC analogy. The novel auto regressive (AR) technique in the domain of statistical pattern recognition approach is implemented to locate the feasible positions of cracks in the structure as reverse problem. The SPC technique, the reverse problem, analysis has been conducted in a supervised approach. The results obtained from the numerical and FEA methods congregate well those with SPC approach.

Keywords: crack, control chart, AR (auto regressive) method, SPC (statistical process control), crack location