A Comprehensive Reliability Allocation Method of Feed Mixers Based on Fuzzy Synthetic Assessment

2015 ◽  
Author(s):  
Dong Yang ◽  
Yu Sun ◽  
Kai Wu
Keyword(s):  
Fuzzy Number ◽  
Influence Factors ◽  
Triangular Fuzzy Number ◽  
Uncertain Information ◽  
Allocation Model ◽  
Reliability Allocation ◽  
Allocation Method ◽  
Fuzzy Synthetic Assessment ◽  
Comprehensive Reliability ◽  
Synthetic Assessment

To solve the problem that there are many factors influencing the reliability allocation of feed mixers, and some of which are difficult to analyze quantitatively, a comprehensive reliability allocation method is researched using triangular fuzzy number, fuzzy synthetic assessment and analytic hierarchy process. In this paper, a reliability allocation model is proposed for feed mixers, which considered several influence factors, and used triangular fuzzy number instead of real number to express uncertain information. It could make use of the reliability test information and experts’ experience comprehensively. Finally, the application of this method is illustrated with an example, and the result showed that the allocation method is feasible and effective for the reliability allocation of feed mixers.

Reliability Analysis of CNC Machine Tools Based on Fuzzy Theory

2015 ◽  
Vol 713-715 ◽  
pp. 7-10 ◽  
Author(s):  
Li Tao
Keyword(s):  
Machine Tools ◽  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Fuzzy Comprehensive Evaluation ◽  
Cnc Machine Tools ◽  
Uncertain Information ◽  
Cnc Machine ◽  
Allocation Model ◽  
Reliability Allocation ◽  
Allocation Method

There are many factors influencing the reliability allocation of CNC machine tools and some are difficult to analyze quantitatively, a comprehensive reliability allocation method is proposed using interval analysis, fuzzy comprehensive evaluation and analytic hierarchy process. Many influence factors were considered and endowed with different weight respectively according to the influence degree. In this paper, a reliability allocation model is proposed for CNC machine tools, which used interval number instead of real number to express uncertain information. It could make use of the field test information and experts’ experience comprehensively. Finally, the application of this method is illustrated with an example, and the results showed that the allocation method is feasible and effective for the reliability allocation of CNC machine tools.

Reliability Prediction of Mechanical and Electrical Products

2011 ◽  
Vol 48-49 ◽  
pp. 891-895
Author(s):  
Ling Ling Li ◽  
Chun Tao Zhao ◽  
Chun Wen Yang ◽  
Zhi Gang Li
Keyword(s):  
Fuzzy Number ◽  
Comprehensive Evaluation ◽  
Influence Factors ◽  
Fuzzy Comprehensive Evaluation ◽  
Triangular Fuzzy Number ◽  
Reliability Prediction ◽  
Uncertain Information ◽  
Fuzzy Decision ◽  
Analytic Hierarchy ◽  
Hierarchy Process

In the preliminary stage of mechanical and electrical products reliability prediction, due to the lack of reliability data, the reliability prediction is expected to be difficult. But also in the design process, lots of fuzzy and uncertain information is existence. In view of this, the reliability prediction model based on triangular fuzzy number is proposed. This model is consistent with the mode of thinking, can also merge the fuzzy information very well and make the fuzzy decision . On this basis, according to the influence factors of mechanical and electrical products reliability, analytic hierarchy process (AHP) is applied to determine weights, the model of the fuzzy comprehensive evaluation is built and a new operator is introduced for the triangular fuzzy number. Therefore a more objective prediction can be expected to make for the reliability of mechanical and electrical products.

A comprehensive reliability allocation method for design of CNC lathes

2001 ◽  
Vol 72 (3) ◽  
pp. 247-252 ◽  
Author(s):  
Yiqiang Wang ◽  
Richard C.M. Yam ◽  
Ming J. Zuo ◽  
Peter Tse
Keyword(s):  
Reliability Allocation ◽  
Allocation Method ◽  
Comprehensive Reliability

A comprehensive reliability allocation method for series systems based on failure mode and effects analysis transformed functions

2016 ◽  
Vol 230 (12) ◽  
pp. 2239-2248 ◽  
Author(s):  
Zhou Yang ◽  
Panxue Liu ◽  
Yunpeng Zhu ◽  
Yimin Zhang
Keyword(s):  
Failure Mode ◽  
Engineering Practice ◽  
Analysis Method ◽  
Reliability Allocation ◽  
System A ◽  
Allocation Method ◽  
Linear Transform ◽  
Transform Coefficients ◽  
Comprehensive Reliability ◽  
Series Systems

In order to address the reliability allocation problem of the series system, a comprehensive reliability allocation method based on a transformed function of the failure mode and effects analysis is introduced. First, considering multiple factors that affect the reliability allocation, an allocation matrix is established by employing significance factors. Subsequently, to overcome the limitations of the conventional failure mode and effects analysis–based allocation method, non-linear transform laws of failure severity and occurrence, known as transformed functions, are established. The reliability allocation results could be adjusted appropriately by choosing transform coefficients according to the desired allocation results of the system. Then, the transformed failure mode and effects analysis and the comprehensive allocation matrix are combined to give an allocation vector. Finally, a computerized numerical controlled lathe and a spindle system are used as examples. The allocation results of the transformed method, the conventional failure mode and effects analysis method and those in the correlated references are compared to emphasize the significance of the proposed allocation method in engineering practice.

scholarly journals Research on the Reliability Allocation Method of Smart Meters Based on DEA and DBN

2021 ◽  
Vol 11 (15) ◽  
pp. 6901
Author(s):  
Juan Zhou ◽  
Zonghuan Wu ◽  
Zhonghua Yu
Keyword(s):  
Structural Complexity ◽  
Dynamic Bayesian Networks ◽  
Accelerated Life Test ◽  
Design Stage ◽  
Smart Meters ◽  
Allocation Model ◽  
Reliability Allocation ◽  
Allocation Method ◽  
Accelerated Life ◽  
Manufacturing Testing

Reliability allocation can reasonably determine the reliability index of each unit in the system to ensure product quality in design, manufacturing, testing and acceptance. In the design process of the smart meter, the preliminary reliability allocation results may be unreasonable, so in the middle and later stages of the design stage, the reliability needs to be reallocated. The traditional allocation method has some limitations, such as strong subjectivity, large amount of calculation and too much reliance on expert judgment. In order to solve these problems, this paper presents a multi-method fusion method of reliability allocation. First, this paper uses the goal-oriented methodology (GO methodology) to integrate dynamic Bayesian networks (DBNs) to predict the reliability of smart meters. Second, a data envelopment analysis (DEA) reliability allocation model is established, the posterior probability obtained by DBN reasoning together with the failure rate and structural complexity of each unit are used as the output indicators of this model. Finally, the reliability allocation weight is calculated by using the efficiency value obtained from the DEA reliability allocation model. The validity and accuracy of this method is verified by an accelerated life test. This provides a new idea for reliability reallocation of smart meters.

Methods for evaluating the computer network security with fuzzy number intuitionistic fuzzy dual Hamy mean operators

2020 ◽  
Vol 39 (3) ◽  
pp. 4427-4441
Author(s):  
Bin Xu
Keyword(s):  
Network Security ◽  
Membership Function ◽  
Fuzzy Number ◽  
Fuzzy Numbers ◽  
Computer Network ◽  
Information Aggregation ◽  
Security Evaluation ◽  
Uncertain Information ◽  
Intuitionistic Fuzzy ◽  
Computer Network Security

The concept of fuzzy number intuitionistic fuzzy sets (FNIFSs) is designed to effectively depict uncertain information in decision making problems which fundamental characteristic of the FNIFS is that the values of its membership function and non-membership function are depicted with triangular fuzzy numbers (TFNs). The dual Hamy mean (DHM) operator gets good performance in the process of information aggregation due to its ability to capturing the interrelationships among aggregated values. In this paper, we used the dual Hamy mean (DHM) operator and dual weighted Hamy mean (WDHM) operator with fuzzy number intuitionistic fuzzy numbers (FNIFNs) to propose the fuzzy number intuitionistic fuzzy dual Hamy mean (FNIFDHM) operator and fuzzy number intuitionistic fuzzy weighted dual Hamy mean (FNIFWDHM) operator. Then the MADM methods are proposed along with these operators. In the end, we utilize an applicable example for computer network security evaluation to prove the proposed methods.

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