Title :
Fuzzy regression analysis for fatigue crack growth
Author :
Wu, Xin ; Hu, Jun Ming ; Pecht, Michael
Author_Institution :
Maryland Univ., College Park, MD, USA
Abstract :
The paper presents a method based on fuzzy regression to analyze fatigue crack growth data, were the variations of the parameters are not only due to measurement errors but also system errors. A membership function is used to describe the system errors. Crack growth data under constant and random amplitude stress are analyzed and the results are compared with conventional least-squares regression methods
Keywords :
fatigue cracks; fuzzy set theory; fatigue crack growth; fuzzy regression; membership function; stress; system errors; Fatigue; Fuzzy set theory; Fuzzy sets; Measurement errors; Probability; Regression analysis; Stress; Testing; Uncertainty; Vectors;
Conference_Titel :
Uncertainty Modeling and Analysis, 1990. Proceedings., First International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-2107-9
DOI :
10.1109/ISUMA.1990.151292
