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A fuzzy set approach for reliability calculation of valve controlling electric actuators

D P Karmachev, A A Yefremov, E E Luneva
2017 IOP Conference Series: Materials Science and Engineering  
We suggest a technique that allows constructing fundamental fuzzy-valued performance reliability measures based on an analysis of electric actuators failure data in accordance with the amount of work,  ...  These factors affect equipment reliability measures in a vague, uncertain way. To eliminate the ambiguity, reliability model parameters could be defined as fuzzy numbers.  ...  In this regard, the reliability estimation of an electric actuator could be based on either random times or number of OPEN/CLOSE cycles to failure.  ... 
doi:10.1088/1757-899x/177/1/012027 fatcat:7nkabyztmfajrh7lwoh5aqeyb4

Fuzzy Reliability Based Bow Tie Analysis of Coal Mine Water Inrush Risks

Cong Zhang, Huaying Wang, Yixin Wei
2017 Geo-Resources Environment and Engineering  
This paper focuses on the method of the bow tie analysis based on fuzzy reliability to assess the risk of water inrush in coal mines.  ...  Then triangular fuzzy numbers are adopted to quantify experts' language and to acquire the reliability rate which close to the actual values by defuzzification and calculation.  ...  Fuzzy reliability evaluation calculates the reliability data of dynamic bow tie analysis based on basic event and subsequent event reliability probabilities in a dynamic bow tie analysis model characterized  ... 
doi:10.15273/gree.2017.02.017 fatcat:kfojffej4bco5baap5xkm6ejyq

Reliability Analysis of Metro Door System Based on Fuzzy Multi-State Bayesian Network

Zhenliang Fu, Na Li, Xueyan Tian, Yonghua Li, Ziqiang Sheng
2021 Journal of Engineering and Technological Sciences  
Considering the shortcomings of the fault tree analysis (FTA) method in the reliability analysis of metro door systems, Bayesian network (BN) and fuzzy theory were introduced to establish the failure probability  ...  The BN of the metro door system was constructed based on the fault tree.  ...  analysis based on BN cannot be performed.  ... 
doi:10.5614/j.eng.technol.sci.2021.53.5.9 fatcat:zrry7w2pqfajjhx2isibrvoh5e

FUZZY INFORMATION AND Z-NUMBER-BASED APPROACHES TO ENERGY RESOURCE SELECTION

Mahammad Nuriyev
2020 International Journal of Energy Economics and Policy  
Numerical examples and comparative analysis of fuzzy and Z-number-based models illustrate the process to solution and results.  ...  Taking into consideration these circumstances, fuzzy information and a Z-number-based analytic hierarchy process (AHP) has been used as a decision-making tool.  ...  Z-number-based models and one-term variations in the reliability for the Z-numberbased models.  ... 
doi:10.32479/ijeep.9250 fatcat:kzhrgcsox5ef3aowew346szz7m

Reliability Analysis of A Single Pile–Non Probabilistic Approach

Subhashini Bharath
2018 International Journal for Research in Applied Science and Engineering Technology  
Reliability analysis of structures has become important with the present-day emphasis on performance-based design because in structural engineering, uncertainties arise from different sources.  ...  The effect of the variation in uncertainty of the input fuzzy variables on the reliability is studied.  ...  The method to carry out fuzzy reliability analysis mainly based on the formulations proposed by Berbara Ferracuti and Isaac Elishak off [1] .  ... 
doi:10.22214/ijraset.2018.2046 fatcat:4vetnygahvgdfc5ndqqhxcwjxq

Developing a Mathematics Education Quality Scale

S. Koza Ciftci, Engin Karadag
2016 Africa Education Review  
In consequence of fuzzy correlation analysis, the scale has been reduced to 38 items dropping the two. Cronbach Alpha coefficiency of reliability is 0. 9473.  ...  The operations built by fuzzy numbers and fuzzy statistics are named as "fuzzy method", while the operations built by normal numbers are named as "classical method".  ...  If behind why the results of reliability analysis are so we are to name this dimensions; the first dimension is close to each other is that the central values in fuzzy "sensitive closeness" (sensitive  ... 
doi:10.1080/18146627.2016.1224590 fatcat:hkjmogtf3fgdhenbgksg7kjd5m

Reliability Modeling and Assessment of Electric Vehicle Motor Using Fault Tree and Fuzzy Petri Nets

Bing Wang, Yanping Liang, Chaojun Yang, Zhibo Sang
2016 International Journal of Grid and Distributed Computing  
Based on the concepts of FT and FPN, a FT based FPN model for reliability analysis is obtained.  ...  Performing reliability analysis of electric vehicle motor has an important impact on its safety.  ...  Fuzzy Petri nets model based on FT for reliability analysis.  ... 
doi:10.14257/ijgdc.2016.9.8.12 fatcat:cll5yqkpergmzgs4in57myhtpe

Fuzzy rule based approach with z-numbers for selection of alternatives using TOPSIS

Abdul Malek Yaakob, Alexander Gegov
2015 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)  
The concept of Z-numbers is used to present decision maker's reliability.  ...  Furthermore, a hybrid analysis of decision making process that requires the use of human sensitivity to reflect influence degree of decision maker can be often expressed by a fuzzy rule base.  ...  ANALYSIS OF RESULTS For the validation purposes, the authors consider the ranking based on existing non rule based approach and actual price change.  ... 
doi:10.1109/fuzz-ieee.2015.7337862 dblp:conf/fuzzIEEE/YaakobG15 fatcat:5vsi4grmu5cfdc63zbzbtj4ewm

Interactive TOPSIS Based Group Decision Making Methodology Using Z-Numbers

Abdul Malek Yaakob, Alexander Gegov
2016 International Journal of Computational Intelligence Systems  
Based on the analysis, the proposed method outperforms the established TOPSIS methods in term of ranking performance Keywords: Type-1 fuzzy number, interval type-2 fuzzy number, z-number, multi-criteria  ...  The main aim of this paper is to introduce a novel modification of TOPSIS method to facilitate multi criteria decision making problems based on the concept of Z-numbers called Z-TOPSIS.  ...  positive ideal solution and fuzzy negative ideal solution are defined based on Eq. (8) .  ... 
doi:10.1080/18756891.2016.1150003 fatcat:kmwdlt4q7zdx5bwmfm2audvbam

Ranking of Services for Reliability Estimation of SOA System Using FUZZY TOPSIS Method

Neha Singh, Dharmendra Singh, Kirti Tyagi
2020 International Journal of Innovative Business Strategies  
In terms of triangular fuzzy numbers, the weight criteria and rating of alternatives has been assessed by linguistic variables that provide the ranking of services to estimate the SOA reliability.  ...  Among these quality attributes, reliability is one of the important parameters. Reliability can successfully complete a given system task in a specific environment in specific time period.  ...  Path-based model have two example models, one is Shooman model proposed in [4] , and other is Scenario Based Reliability Analysis model proposed by [17] .  ... 
doi:10.20533/ijibs.2046.3626.2020.0053 fatcat:cufmft4hmzdezlpviozkzpj2o4

Fuzzy Numbers Applied in Reliability Assessment of Unreinforced Masonry Shear Wall

Mahdi Montazerolghaem, Wolfram Jäger
2016 Modern Applied Science  
Several reliability analysis are run using only stochastic method with using fuzzy numbers. The effect of model uncertainty on assessed reliability is highlighted.  ...  In dealing with epistemic uncertainty in reliability analysis, modern mathematical tools like fuzzy logic is required.  ...  As explained before, the output of a fuzzy analysis is a fuzzy number. However, in current codes of practice, only real numbers are given as the reliability measure targets.  ... 
doi:10.5539/mas.v10n6p147 fatcat:iyg2ptn7frd5rp6qsbapqnoj4e

Design of Improved Algorithm and Model for Multi-Constrained Fuzzy Predictive Analysis

Junhui Song, Hua Xie, Liping Shi
2019 Revue d'intelligence artificielle : Revue des Sciences et Technologies de l'Information  
To solve the problem, this paper explores the key techniques and methods for predictive analysis on complex systems, and puts forward an improved strategy for multi-constrained fuzzy predictive analysis  ...  The author explained the normalization, weighting, granularity setting and classic domain of the attributes of multiple constraints, introduced the calculation of the fuzzy distance and fuzzy closeness  ...  Realization of multi-constrained fuzzy predictive analysis Based on the integrated weighted fuzzy closeness ℎ , the classic field of the reference object ℎ corresponding to the predictive analysis target  ... 
doi:10.18280/ria.330610 fatcat:5eds36bgwfbhbjg24i7bzk6p2e

Weighted Regression-Based Extremum Response Surface Method for Structural Dynamic Fuzzy Reliability Analysis

Cheng Lu, Yun-Wen Feng, Cheng-Wei Fei
2019 Energies  
To improve structural dynamic fuzzy reliability analysis, we propose the weighted regression-based extremum response surface method (WR-ERSM) based on extremum response surface method (ERSM) and weighted  ...  The WR-ERSM is applied to perform the dynamic fuzzy reliability analysis of an aeroengine turbine blisk with the fluid-structure coupling technique, and is verified by the comparison of the Monte Carlo  ...  Based on the derived WR-ERSM model in Equation (8) , we extract a large number of samples of the output based on MC method, and achieve the mean and standard deviation.  ... 
doi:10.3390/en12091588 fatcat:c46dsrij5neftfeqnt4gnhhole

AN INTEGRATED APPROACH FOR RENEWABLE ENERGY RESOURCE AND PLANT LOCATION SELECTION

Mahammad Nuriyev
2021 International Journal of Energy Economics and Policy  
Comparative analysis of the solutions, based on various weights, allows making a reliable solution.  ...  In this paper, we are studying the efficiency and applicability of the unified approach based on fuzzy and Z-information, and TOPSIS technique.  ...  Cristóbal (2011) has applied based on closeness to the ideal solution VICOR method for renewables project analysis in Spain.  ... 
doi:10.32479/ijeep.10880 fatcat:yhjaisdbjrga5cip6ayiyb55lq

Z-TOPSIS approach for performance assessment using fuzzy similarity

Ku Muhammad Naim Ku Khalif, Alexander Gegov, Ahmad Syafadhli Abu Bakar
2017 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)  
This paper presents fuzzy similarity based Fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) for z-numbers.  ...  Fuzziness is not sufficient enough when dealing with real information and a degree of reliability of the information is very critical.  ...  Here, the authors propose fuzzy similarity to replace closeness coefficient by doing ranking evaluation. The similarity matrix is calculated based on fuzzy similarity [10] .  ... 
doi:10.1109/fuzz-ieee.2017.8015458 dblp:conf/fuzzIEEE/KhalifGB17 fatcat:sdsut5hprre3dh7nrbkp3aylhm
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