RESEARCH PAPER
Research on Dynamic Weighted FMECA for Reliability of CNC Machine Tools Based on Spherical Fuzzy Sets
1
Jilin University, China
2
Qingluan Fuxing Industrial Technology Group Co., Ltd, China
3
Harbin Engineering University, China
Submission date: 2024-11-28
Final revision date: 2025-02-10
Acceptance date: 2025-03-29
Online publication date: 2025-04-07
Publication date: 2025-04-07
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(4):203500
HIGHLIGHTS
- This study performs FMECA based on SFS, providing results with higher rationality.
- This study integrates SFS-based entropy weight method and AHP to assign dynamic weights.
- SF-WASPAS is used to provide failure mode ranking for CNC machine tools in different ages.
KEYWORDS
TOPICS
ABSTRACT
In this study, a novel dynamic FMECA method based on Spherical Fuzzy Sets (SFSs) is proposed to address the limitations of traditional FMECA in the reliability analysis of CNC machine tools, particularly the issue of neglecting the dynamic changes of CNC machine tools due to service age. The proposed method integrates objective and subjective weighting by combining an SFS-based entropy weighting method with SFS-AHP, allowing for the management of expert fuzzy evaluations and a multi-perspective weighting of risk factors. SFS-based WASPAS is used to generate dynamic rankings at expert-suggested time points (1,000 hours and 10,000 hours), incorporating service age to provide age-specific failure mode rankings. The effectiveness of the method is validated through a case study on T-model CNC machine tools. The results show that failure mode rankings change with service age, demonstrating that this method provides more valuable insights for reliability-related decision-making, such as design improvements and maintenance planning.
ACKNOWLEDGEMENTS
This work was supported by the National Science and Technology Major Project.
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