• CN: 11-2187/TH
  • ISSN: 0577-6686

›› 1996, Vol. 32 ›› Issue (6): 56-60.

• Article • Previous Articles     Next Articles

STUDY ON ON-LINE PROGNOSIS OF FATIGUE DAMAGE

Ha Qiao;Chai Tianyou;Xu Hao   

  1. Northeastern University
  • Published:1996-11-01

Abstract: To ensure the safety and reliability of machine system, it is rather important to predict tile fatigue damage of the main components. Based on the neural networks theory and local strain approach, a fatigue damage on-line prognosis method is presented. This method can calculate the fatigue damage in real time according to the sevice loading and predict the fatigue failure. Thus, the local strain approach is used net only in the design stage but also for fatigue prognosis.

Key words: Fatigue, Local strain approach, Neural networks, On-line prognosis