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Functional health prognosis approach of multi-station manufacturing system considering coupling operational factors

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Listed:
  • Li, Yao
  • He, Yihai
  • Ai, Jun
  • Wang, Chengcheng
  • Han, Xiao
  • Liao, Ruoyu
  • Yang, Xiuzhen

Abstract

The core function of the manufacturing system is to ensure the quality and quantity of output products. Therefore, the performance of the manufacturing function can effectively evaluate the health state of the manufacturing system. However, the complex coupling effects caused by the correlation and interaction between multiple operational factors in the running manufacturing system will significantly affect the performance of manufacturing function, which has not been paid due attention. Therefore, a systematic functional health state prognosis approach for the manufacturing system considering coupling operational factors is given in this paper. First, based on functional performance analysis, the relationship among main coupling operational factors including manufacturing machine, production task, and produced workpiece is expounded, and the connotation of the functional health state is defined. Second, three quantitative models of the coupling effect between operational factors are constructed. Third, an integrated functional health prognosis model for the manufacturing system is established. Finally, a prognosis example of a ferrite phase shifting unit manufacturing system is provided to illustrate the effectiveness of the proposed method.

Suggested Citation

  • Li, Yao & He, Yihai & Ai, Jun & Wang, Chengcheng & Han, Xiao & Liao, Ruoyu & Yang, Xiuzhen, 2022. "Functional health prognosis approach of multi-station manufacturing system considering coupling operational factors," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    • Handle: RePEc:eee:reensy:v:219:y:2022:i:c:s0951832021006906
    DOI: 10.1016/j.ress.2021.108211
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    References listed on IDEAS

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    1. Li, Yao & He, Yihai & Liao, Ruoyu & Zheng, Xin & Dai, Wei, 2022. "Integrated predictive maintenance approach for multistate manufacturing system considering geometric and non-geometric defects of products," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    2. Liao, Ruoyu & He, Yihai & Zhang, Jishan & Zheng, Xin & Zhang, Anqi & Zhang, Weifang, 2023. "Reliability proactive control approach based on product key reliability characteristics in manufacturing process," Reliability Engineering and System Safety, Elsevier, vol. 237(C).

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