Improved FMEA based on IVF and fuzzy VIKOR method: A case study of workpiece box system of CNC gear milling machine

Yang, Haiji; Li, Guofa; He, Jialong; Wang, Liding; Zhou, Xinda

doi:10.1002/qre.2870

Cited by 14 publications

(1 citation statement)

References 39 publications

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“…Yazdi (2019) introduced a Bayesian update mechanism to address the dynamic structure of fault tree analysis (FTA) and proved its effectiveness and feasibility. Yang et al (2021) used interval triangular fuzzy numbers to improve failure mode effects analysis (FMEA) and compared them with other methods to verify the effectiveness and rationality of the proposed method. Shafiee et al (2019) proposed an integrated FTA and FMEA model for failure risk analysis.…”

Section: Introductionmentioning

confidence: 99%

Reliability modeling and analysis of cycloid gear grinding machines based on the bootstrap-bayes method

Wang

Fu³

et al. 2023

JAMDSM

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To increase the reliability of cycloidal wheel grinding machines, reduce the failure rate of machine tools, and shorten maintenance times, a reliability modeling method for small-sample fault data is proposed based on the Bootstrap-Bayes method. The mean time between failures (MTBF) of a machine tool generally conforms to a Weibull distribution. Based on the historical fault information and similar fault information, the distribution function for the mean time between failures of a machine tool is determined. The fault information is expanded by the self-help method, and the two-parameter distribution interval of the distribution function is calculated by the Bayesian formula. An example reliability calculation for a cycloid gear grinding machine is given, including the failure analysis and maintenance methods of the gear grinding machine. This approach can also be used to simulate and analyze the reliability of other computer numerical control (CNC) machine tools.

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Section: Introductionmentioning

confidence: 99%

Reliability modeling and analysis of cycloid gear grinding machines based on the bootstrap-bayes method

Wang

Fu³

et al. 2023

JAMDSM

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Dual hesitant Z‐ number (DHZN), correlated distance, and risk quantification

et al. 2021

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Information reliability and uncertainty are two important characteristics that need to be taken care of in any kind of decision-making process. The hesitancy of the human mind is one of the major factors that introduce uncertainty in decision-making. To include the reliability and to resolve the issue of hesitancy in a single framework, in this study, two novel concepts, namely, dual hesitant Z-number (DHZN) and correlated distance measure between two DHZNs (CD-DHZN) are proposed. DHZN = (A h , B h ), is a judicious integration of hesitant fuzzy sets and Z-number. Here, A h is the expert's opinion and B h is the reliability of the expert's opinion. Further, the randomness of the information brings uncertainty to the decision-making process. To circumvent this issue, DHZN is quantified with Cloud model theory and fuzzy envelope. To enhance the information utilization and to reduce the information loss problem while quantifying CD-DHZN, the correlation and the underlying hidden probabilistic relationship between the two parts of a DHZN are captured using the Pearson correlation coefficient, the maximum entropy principle, and Hellinger distance. Then, the extended failure mode and effect analysis (E-FMEA) is proposed with the help of DHZN, CD-DHZN, and VlseKriterijuska Optimizacija IKomoromisno Resenje technique for prioritization of risks. Similarly, extended bow-tie (E-BT) is also proposed for the quantification of basic events (BEs), top event, and accident scenarios. Two case studies with systematic experimental investigations are presented and results are compared with other existing techniques. The results show that the proposed models are able to effectively prioritize the failure modes in E-FMEA and quantify the BEs in E-BT. The results confirm the feasibility and applicability of the proposed models. Sensitivity analysis is also performed to ensure the plausibility and robustness of the proposed model.

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A risk assessment model with dependent failure modes for the manufacturing and design processes of medical equipment

Lo,

Gul,

Yucesan

et al. 2024

Int J Interact Des Manuf

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Improved FMEA based on IVF and fuzzy VIKOR method: A case study of workpiece box system of CNC gear milling machine

Cited by 14 publications

References 39 publications

Reliability modeling and analysis of cycloid gear grinding machines based on the bootstrap-bayes method

Reliability modeling and analysis of cycloid gear grinding machines based on the bootstrap-bayes method

Dual hesitant Z‐ number (DHZN), correlated distance, and risk quantification

A risk assessment model with dependent failure modes for the manufacturing and design processes of medical equipment

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