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Functional risk-oriented health prognosis approach for intelligent manufacturing systems

Author

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  • He, Yihai
  • Zhao, Yixiao
  • Han, Xiao
  • Zhou, Di
  • Wang, Wenzhuo

Abstract

The quality and reliability level of the produced product is the key performance and health state indicator of the running manufacturing system. Hence, the workpiece quality centered operational data originated from the production process should be considered to predict the health state of the intelligent manufacturing system. However, studies of system health prognosis based on the performance of manufacturing function is not gotten the attention it deserved. Therefore, a novel fault detection strategy for intelligent manufacturing systems referring to its functional state is proposed. First, the influencing factors of functional output are explored, and the connotation of functional risk and functional fault is proposed based on system modular hierarchical and output monitoring. Second, the quantitative models of explicit and implicit risks are established as the subsequent functional risk indicators. Third, the Time-between-event control chart is adopted to detect the occurrence of machine functional faults at each step. Finally, the availability and advancement of the proposed fault detection are verified on a cylinder head manufacturing system.

Suggested Citation

  • He, Yihai & Zhao, Yixiao & Han, Xiao & Zhou, Di & Wang, Wenzhuo, 2020. "Functional risk-oriented health prognosis approach for intelligent manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
  • Handle: RePEc:eee:reensy:v:203:y:2020:i:c:s0951832020305913
    DOI: 10.1016/j.ress.2020.107090
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    References listed on IDEAS

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    Cited by:

    1. 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).
    2. Sabri-Laghaie, Kamyar & Fathi, Mahdi & Zio, Enrico & Mazhar, Maryam, 2022. "A novel reliability monitoring scheme based on the monitoring of manufacturing quality error rates," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    3. Song, Zhiting & Zhu, Jianhua & Chen, Kun, 2025. "Robustness analysis of smart manufacturing systems against resource failures: A two-layered network perspective," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    4. Wang, Wenzhuo & He, Yihai & Liao, Ruoyu & Cai, Yuqi & Zheng, Xin & Zhao, Yu, 2022. "Mission reliability driven functional healthy state modeling approach considering production rhythm and workpiece quality for manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    5. Yang, Xiuzhen & He, Yihai & Liao, Ruoyu & Cai, Yuqi & Ai, Jun, 2022. "Integrated mission reliability modeling based on extended quality state task network for intelligent multistate manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    6. Vrignat, Pascal & Kratz, Frédéric & Avila, Manuel, 2022. "Sustainable manufacturing, maintenance policies, prognostics and health management: A literature review," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    7. Han, Xiao & Wang, Zili & Xie, Min & He, Yihai & Li, Yao & Wang, Wenzhuo, 2021. "Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    8. Yang, Xiuzhen & He, Yihai & Liao, Ruoyu & Cai, Yuqi & Dai, Wei, 2024. "Mission reliability-centered opportunistic maintenance approach for multistate manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    9. Sarvari, Hadi & Baghbaderani, Alireza Babaie & Chan, Daniel W.M. & Beer, Michael, 2024. "Determining the significant contributing factors to the occurrence of human errors in the urban construction projects: A Delphi-SWARA study approach," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    10. Azimpoor, Samareh & Taghipour, Sharareh, 2021. "Joint inspection and product quality optimization for a system with delayed failure," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    11. 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).

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