Process reliability modeling method considering discrete state and continuous performance

Xiaofeng Bie; Ningning Chen; Changchao Gu

doi:10.1117/12.3012250

21 December 2023 Process reliability modeling method considering discrete state and continuous performance

Xiaofeng Bie, Ningning Chen, Changchao Gu

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 1297018 (2023) https://doi.org/10.1117/12.3012250
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

To realize fine production management and process control, a process reliability modeling method considering discrete state and continuous performance degradation is proposed in this paper. Process reliability is defined by the degree to which a process satisfies customer requirements, and the process elements covered by process reliability are analyzed. A process reliability modeling method based on a general generating function is proposed by integrating the discrete characteristics of stage capacity caused by failures and the continuous dynamic characteristics of long-term capacity caused by performance degradation. A case study is carried out for a part machining process, and the results show that this method can more accurately characterize the process state, and then provide a more accurate basis for production decision-making.

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

Citation Download Citation

Xiaofeng Bie, Ningning Chen, and Changchao Gu "Process reliability modeling method considering discrete state and continuous performance", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 1297018 (21 December 2023); https://doi.org/10.1117/12.3012250

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