Research on Monitoring Fatigue Life of Mechanical Parts Based on Danger Theory

Abstract:

Currently, there are less online monitoring forecast methods about running condition and fatigue life of mechanical parts, and the current methods have higher false alarm rate. To solve this problem, danger theory of artificial immune system were introduced into condition monitoring methods. An algorithm to predicting the using state or fatigue life of mechanical part was proposed. In this algorithm, the definition and the generation of danger signals are proposed combined with fatigue life and reliability of mechanical parts. According to the results of simulation and experiment, the theoretically residual fatigue life and reliability calculated from simulation analysis kept accordance with the actual residual fatigue life and the real reliability. This verified the validity of this algorithm proposed in this paper.

• Periodical: Applied Mechanics and Materials (Volume 697)
• Pages: 156-160
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.697.156
• Online since: November 2014
• Authors: Qing Hua Meng*, Shu Chen Huang, Hui Feng Zheng, Si Chen Guo
• Keywords: Danger Theory, False Alarm Rate, Fatigue Life, Reliability

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