Hybrid Weibull reliability modeling of ATC system based on graphical method and genetic algorithm

Bingkun Chen; Zhiqiong Wang; Yingzhi Zhang

doi:10.1117/12.3011822

7 December 2023 Hybrid Weibull reliability modeling of ATC system based on graphical method and genetic algorithm

Bingkun Chen, Zhiqiong Wang, Yingzhi Zhang

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129410V (2023) https://doi.org/10.1117/12.3011822
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

ATC system is a key functional component of machining center, and its reliability level is very important to the machining center. ATC system has multiple fault modes. In order to construct its reliability model accurately, this paper uses hybrid Weibull model for reliability modeling. In order to estimate the parameters accurately, the initial values of model parameters are calculated by graphical Method. The search space of the genetic algorithm can be determined based on the initial values. Then the optimal model parameters can be iteratively solved by genetic algorithm, and the hybrid Weibull model can be obtained. Finally, by comparing with the single Weibull model, the hybrid Weibull model is more suitable for ATC reliability function. This paper provides a new idea for the reliability modeling of complex systems and provides a theoretical basis for the subsequent reliability evaluation.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Bingkun Chen, Zhiqiong Wang, and Yingzhi Zhang "Hybrid Weibull reliability modeling of ATC system based on graphical method and genetic algorithm", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129410V (7 December 2023); https://doi.org/10.1117/12.3011822

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