An Integrated Robust Hybrid Fuzzy Reliability Model for Redesigning New Products and Systems

Author(s):  
Daniel O. Aikhuele ◽  
Duke E. George
2006 ◽  
Vol 304-305 ◽  
pp. 218-221
Author(s):  
Chun Xiang Ma ◽  
Z.H. Qu ◽  
Q.J. Wu ◽  
Zhen Ruan ◽  
Li Ming Xu

The fuzzy allowable intervals of the deflection, the vibration frequency and the fatigue strength of the shaft fixing grinding wheel are proposed in present paper based fuzzy set theory. According to fuzzy probability theory, the fuzzy reliability model of the rigidity, the fuzzy reliability model of the vibration and the fuzzy reliability model of the fatigue for the shaft fixing grinding wheel in internal grinding are given. The method is put into real example.


2012 ◽  
Vol 166-169 ◽  
pp. 1917-1921 ◽  
Author(s):  
Guang Yue Wang ◽  
Yan Han

In order to analyze the uncertainty existing in the stability of slope with geocell, the fuzziness of soil property parameters should be considered. In this paper, probability density function of structural performance function and membership function of the stability of slope with geocell was determined. The fuzzy reliability model of the stability of slope with geocell was established. The fuzzy reliability and fuzzy failure probability of slope with geocell instability were calculated, and the practicability of the calculated model was verified.


2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Meng Zhang ◽  
Shan Lu ◽  
Bo Li

The inherent frequencies of blades, especially with friction structure of shroud, are related to many uncertain factors, which include not only random factors but also fuzzy or other uncertain factors. In this paper, the fuzzy reliability model of blades to avoid resonance is investigated. By regarding the inherent frequency as a fuzzy random variable with trapezoidal or flat-normal membership function, a fuzzy reliability model of blades to avoid resonance is proposed based on the fuzzy cut-set theory, and the corresponding numerical solution is given. Further, a theorem is proposed and proved to indicate the deficiency of the previous cut-set distributions on convergence, and, then, a new cut-set distribution is given to cover this shortage and ensure that the model is of good convergence. Finally, the proposed model is applied to evaluate the reliability of one certain blade. Some simulations are carried out to compare the new cut-set distribution with the previous ones and study the influence of fuzzy degree on the reliability.


2021 ◽  
Vol 6 (9) ◽  
pp. 9770-9785
Author(s):  
Mohamed A. H. Sabry ◽  
◽  
Ehab M. Almetwally ◽  
Osama Abdulaziz Alamri ◽  
M. Yusuf ◽  
...  

2014 ◽  
Vol 933 ◽  
pp. 239-244 ◽  
Author(s):  
Meng Zhang ◽  
Shan Lu

The mechanical fuzzy reliability models based on cut-set method have been applied to many fields in engineering. The reliability analysis results are affected by the cut-set distribution. In this paper, a basic mechanical fuzzy reliability model using cut-set method was established. Based on this model, the deficiency of the three previous cut-set distributions, i.e. uniform distribution, linear distribution and truncated normal distribution, was analyzed, and a new cut-set distribution named modified truncated normal distribution was proposed. The analysis results showed that when the cut-set is long enough, the reliabilities of the fuzzy models with the three previous cut-set distributions tend to a fixed value which has nothing to do with the specific mechanical structures, which makes the models have no good convergence and unreasonable. While, the fuzzy reliability model with the new cut-set distribution proposed in this paper can converge well to the classical random reliability model. Moreover, the reliabilities of a stress-strength interference problem and a resonance problem were assessed as two examples to verify the theoretical analysis results, which indicate that with this new cut-set distribution, the fuzzy reliability models have better convergence and wider applications.


Author(s):  
R. Guo ◽  
E. Love

In this research, we focus on covariate modelling to explore the interactions between industrial system and its enviroment in terms of the modelling fundamental characteristic — random and fuzzy uncertaity with an intention to decrease the fatal weakness of the modern dissection methodology. We extend the additive and multiplicative covariate models from these considering randomness alone into these considering both randomness and fuzziness in the sense as a mathematical extension to the existing covariate modelling. In terms of the form of logical function an engineering oriented fuzzy reliability model which could potentially count all the aspects associated with an operating system and its environment is proposed. Statistical estimation on the parameters of system fuzzy reliability is considered based on the general theory of the point processes. The impacts on the optimal plant maintenance from the engineering oriented fuzzy reliability modelling is also discussed. Finally we use an industrial example to illustrate the main theoretical developments.


Author(s):  
Chunxiang Ma ◽  
Miaoqi Zheng ◽  
Jun He ◽  
Feng Gao

In this paper, a new type of the offshore wind turbine installation equipment is proposed, which has 6 sets of intelligent legs. Each intelligent leg consists of two-UPS and one-UP. Based on the theory of the parallel mechanism, the mechanism of this offshore wind turbine installation equipment with 6 sets of intelligent legs is constructed. We take a set of the intelligent leg for analysis and conducted kinematic analysis and dynamic analysis on the offshore wind turbine installation equipment. Finally, by studying the fuzzy reliability of the kinematic accuracy of a branch, the reliability model of the whole mechanism of the installation equipment combined with the characteristics of installation process is established, and the calculation of the fuzzy reliability of the kinematic accuracy of the whole mechanism is carried out.


Sign in / Sign up

Export Citation Format

Share Document