T-S Model Based Fault Tree Analysis on the Hoisting System of Rubber-Tyred Girder Hoister

Yao, Chengyu; Zhang, Yingyi

doi:10.1109/icie.2010.338

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…To solve the subjective error caused by over-dependence [19][20][21][22][23][24][25][26][27][28], this paper constructs a new T-S fuzzy gates based on the importance index of basic events, which would require as little expert knowledge as possible. The importance index of basic events can be solved through Monte Carlo (MC) simulation.…”

Section: Improved T-s Fuzzy Fault Treementioning

confidence: 99%

“…For these reasons, Song et al [19] and Yao et al [20] developed a novel FTA based on the Takagi and Sugeno Finally, the improved T-S FFTA method is constructed according to the above method, and the reliability analysis of the sealing subsystem, which is one of the most important and most faulty components of the numerical control (NC) turret, proves the correctness and provides data for fault diagnosis and preventive maintenance of system.…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy fault tree reliability analysis based on improved T-S model with application to NC turret

Yang

Wang

et al. 2021

Int J Adv Manuf Technol

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In Takagi and Sugeno (T-S) fuzzy fault tree analysis (FFTA), the construction of T-S fuzzy gates relies too much on expert experience, which will result in inevitable subjective errors. In order to overcome this disadvantage, a new method was proposed which combined importance index with T-S fuzzy fault tree model to evaluate reliability of the events. The importance index of components can be solved through Monte Carlo (MC) simulation. The proposed method is suitable for systems where exact information on the fault probabilities of the components and the magnitude of failure and effect on system are not available. The concept and calculation method of T-S probability importance was presented. Finally, the feasibility of the method is verified by analyzing the reliability of the sealing subsystem of the NC turret and the weak links of the system are obtained by the importance analysis, which will provide data for system fault diagnosis and preventive maintenance.

show abstract

Section: Improved T-s Fuzzy Fault Treementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fuzzy fault tree reliability analysis based on improved T-S model with application to NC turret

Yang

Wang

et al. 2021

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…To solve the subjective error caused by over-dependence [19][20][21][22][23][24][25][26][27][28] MC simulation is a method that uses random sampling analysis to estimate the problem and to compute the variance of the estimate. By sampling the random variables in the model enough times and analyzing statistical results of the sampling, one can estimate the problem and the variance of the estimated value.…”

Section: Improved T-s Fuzzy Fault Treementioning

confidence: 99%

Fuzzy Fault Tree Reliability Analysis Based on Improved T–S Model with Application to NC Turret

Yang

Wang

et al. 2021

Preprint

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In Takagi and Sugeno (T–S) fuzzy fault tree analysis (FFTA), the construction of T-S fuzzy gates relies too much on expert experience, which will result in inevitable subjective errors. In order to overcome this disadvantage, a new method was proposed which combined importance index with T-S fuzzy fault tree model to evaluate reliability of the events. The importance index of components can be solved through Monte Carlo (MC) simulation. The proposed method is suitable for systems where exact information on the fault probabilities of the components and the magnitude of failure and effect on system are not available. The concept and calculation method of T-S probability importance was presented. Finally, the feasibility of the method is verified by analyzing the reliability of the sealing subsystem of the NC turret and the weak links of the system are obtained by the importance analysis, which will provide data for system fault diagnosis and preventive maintenance.

show abstract

Fuzzy fault tree analysis: a review of concept and application

Mahmood¹,

Ahmadi²,

Verma³

et al. 2013

Int J Syst Assur Eng Manag

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T-S Model Based Fault Tree Analysis on the Hoisting System of Rubber-Tyred Girder Hoister

Cited by 3 publications

References 4 publications

Fuzzy fault tree reliability analysis based on improved T-S model with application to NC turret

Fuzzy fault tree reliability analysis based on improved T-S model with application to NC turret

Fuzzy Fault Tree Reliability Analysis Based on Improved T–S Model with Application to NC Turret

Fuzzy fault tree analysis: a review of concept and application

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