Application of Fuzzy Fault Tree Analysis in Aero-Engine

2014 ◽  
Vol 602-605 ◽  
pp. 857-861 ◽  
Author(s):  
Feng Ding ◽  
Jun Qiang Dang ◽  
Jiu Cheng Yin

In view of the situation that the traditional fault tree is difficult to determine the probability of the basic events without considering the inherent uncertainly and imprecision of each basic event, the concept of fuzzy set is introduced which transforms various kinds of fuzzy numbers into triangular fuzzy ones to describe the probability of bottom events. Blurred the probability of the basic events in traditional fault tree, then the established fault tree is calculated and analyzed quantitatively, the fuzzy probability of top event of aero-engine can be gotten. The probability importance degree of each basic event under different sets is calculated and sorted for positioning the fault source precisely. Finally, the bottom events with higher probability will be obtained. The case analysis results show that the method gives a direct guiding significance for fault diagnosis of aero-engine, but also has a positive role for improving the reliability of the system.

2014 ◽  
Vol 1044-1045 ◽  
pp. 412-416 ◽  
Author(s):  
Zhi Hui Li ◽  
Qin Xiang Gao ◽  
Jie Hui

This paper introduces a fault tree (FT) method based on fuzzy numbers, aiming to deal with the inadequate statistics and the uncertain probability of the basic events during the fault tree analysis for power transmission line field maintenance work. Based on expert judgment, the Delphi method is used to transform fuzzy language to triangular fuzzy numbers, finally an approach for defuzzification is developed. A typical hazard in replacing the linear composite insulator of 500kV transmission line field maintenance work is presented for a case study. The method is conducive to a better risk pre-control and decision-making.


2018 ◽  
Vol 35 (5) ◽  
pp. 1115-1141 ◽  
Author(s):  
Mina Moeinedini ◽  
Sadigh Raissi ◽  
Kaveh Khalili-Damghani

Purpose Enterprise resource planning (ERP) is assumed as a commonly used solution in order to provide an integrated view of core business processes, including product planning, manufacturing cost, delivery, marketing, sales, inventory management, shipping and payment. Selection and implementation of a suitable ERP solution are not assumed a trivial project because of the challenging nature of it, high costs, long-duration of installation and customization, as well as lack of successful benchmarking experiences. During the ERP projects, several risk factors threat the successful implementation of the project. These risk factors usually refer to different phases of the ERP projects including purchasing, pilot implementation, teaching, install, synchronizing, and movement from old systems toward new ones, initiation and utilization. These risk factors have dominant effects on each other. The purpose of this paper is to explore the hybrid reliability-based method is proposed to assess the risk factors of ERP solutions. Design/methodology/approach In this regard, the most important risk factors of ERP solutions are first determined. Then, the interactive relations of these factors are recognized using a graph based method, called interpretive structural modeling. The resultant network of relations between these factors initiates a new viewpoint toward the cause and effect relations among risk factors. Afterwards, a fuzzy fault tree analysis is proposed to calculate Failure Fuzzy Possibility (FFP) for the basic events of the fault tree leading to a quantitative evaluation of risk factors. Findings The whole proposed method is applied in a well-known Iranian foodservice distributor as a case study. The most impressive risk factors are identified, classified and prioritized. Moreover, the cause and effect diagram between the risk factors are identified. So, the ERP leader can plan a low-risk project and increase the chance of success. Originality/value According to the authors’ best knowledge, such approach was not reported before in the literature of ERP risk assessments.


2020 ◽  
Vol 39 (3) ◽  
pp. 2753-2761
Author(s):  
Hui Zhou ◽  
Haiping Ren

In reliability field, the probabilities of basic events are often treated as exact values in conventional fault tree analysis. However, for many practical systems, because the concept of events may be ambiguous, the factors affecting the occurrence of events are complex and changeable, so it is difficult to obtain accurate values of the occurrence probability of events. Fuzzy sets can well deal with these situations. Thus this paper will develop a novel fault tree analysis method in the assumption of the values of probability of basic events expressed with triangular intuitionistic fuzzy numbers. First, a new ranking function of triangular intuitionistic numbers is established, which can reflect the behavior factors of the decision maker. Then a novel fault tree analysis method is put forward on the basis of operational laws and the proposed ranking function of triangular intuitionistic numbers. Finally, an example of weapon system “automatic gun” is employed to show that the proposed fault tree analysis method is feasible and effective.


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