Research and Application of Evidence Synthesis FTA Model Based on Similarity Analysis

2014 ◽  
Vol 926-930 ◽  
pp. 2001-2005
Author(s):  
You Long Yuan ◽  
Bin Liu
Keyword(s):  
Evidence Synthesis ◽  
Fault Tree ◽  
Evidence Theory ◽  
Fault Tree Analysis ◽  
Similarity Analysis ◽  
Analysis Model ◽  
Tree Analysis ◽  
Model Based ◽  
Validity Measures ◽  
Multiple Experts

In order to integrate multiple experts' opinions effectively, a fault tree analysis model based on the similarity is presented in this paper. First, the concept of similarity used to fuse data is introduced to analyze the similarity among multiple experts' opinions, and to assign each expert's opinions credibility weights based on the analysis results. Then, experts' opinions is synthesized by evidence theory, the probability of accident is predicted, and the importance degrees of basic events which may lead to top event occur is judged. Finally, a quantitative FTA model for the gas poison is established to compute the probability of top event and identify the most dangerous path which may lead to the accident, the results of analysis provide references to the managers when they develop validity measures.

Cybersecurity risk analysis model using fault tree analysis and fuzzy decision theory

2018 ◽  
Vol 43 ◽  
pp. 248-260 ◽  
Author(s):  
Ana Paula Henriques de Gusmão ◽  
Maisa Mendonça Silva ◽  
Thiago Poleto ◽  
Lúcio Camara e Silva ◽  
Ana Paula Cabral Seixas Costa
Keyword(s):  
Risk Analysis ◽  
Decision Theory ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Fuzzy Decision ◽  
Analysis Model ◽  
Tree Analysis

Epistemic uncertainty in fault tree analysis approached by the evidence theory

2012 ◽  
Vol 25 (4) ◽  
pp. 667-676 ◽  
Author(s):  
Giuseppe Curcurù ◽  
Giacomo Maria Galante ◽  
Concetta Manuela La Fata
Keyword(s):  
Epistemic Uncertainty ◽  
Fault Tree ◽  
Evidence Theory ◽  
Fault Tree Analysis ◽  
Tree Analysis

BRB fault diagnosis model based on fault tree analysis

2018 ◽  
Author(s):  
You Cao ◽  
Yingjie Wei ◽  
Guanyu Hu ◽  
Zhijie Zhou ◽  
Xiaoxia Han ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Tree Analysis ◽  
Model Based ◽  
Diagnosis Model

A risk analysis model for mining accidents using a fuzzy approach based on fault tree analysis

2018 ◽  
Vol 31 (4) ◽  
pp. 577-594 ◽  
Author(s):  
Fatma Yasli ◽  
Bersam Bolat
Keyword(s):  
Risk Analysis ◽  
Management Strategies ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Fuzzy Approach ◽  
Analysis Model ◽  
Basis Risk ◽  
Tree Analysis ◽  
Content Type ◽  
Essential Components

Purpose Risk analysis is a critical investigation field for many sectors and organizations to maintain the information management reliable. Since mining is one of the riskiest sectors for both workers and management, comprehensive risk analysis should be carried out. The purpose of this paper is to explore comprehensively the undesired events that may occur during a particular process with their main reasons and to perform a risk analysis for these events, by developing a risk analysis methodology. For performing risk analysis, discovering and defining the potential accidents and incidents including their root causes are important contributions of the study as distinct from the related literature. The fuzzy approach is used substantially to obtain the important inferences about the hazardous process by identifying the critical risk points in the processes. In the scope of the study, the proposed methodology is applied to an underground chrome mine and obtaining significant findings of mining risky operations is targeted. Design/methodology/approach Fault tree analysis and fuzzy approach are used for performing the risk analysis. When determining the probability and the consequences of the events which are essential components for the risk analysis, expressions of the heterogeneous expert group are considered by means of the linguistic terms. Fault tree analysis and fuzzy approach present a quiet convenience solution together to specify the possible accidents and incidents in the particular process and determine the values for the basis risk components. Findings This study primarily presents a methodology for a comprehensive risk analysis. By implementing the proposed methodology to the underground loading and conveying processes of a chrome mine, 28 different undesired events that may occur during the processes are specified. By performing risk analysis for these events, it is established that the employee’s physical constraint while working with the shovel in the fore area, the falling of materials on employees from the chute and the scaling bar injuries are the riskiest undesired events in the underground loading and conveying process of the mine. Practical implications The proposed methodology provides a confidential and comprehensive method for risk analysis of the undesired events in a particular process. The capability of fault tree analysis for specifying the undesired events systematically and the applicability of fuzzy approach for converting the experts’ linguistic expressions to the mathematical values provide a significant advantage and convenience for the risk analysis. Originality/value The major contribution of this paper is to develop a methodology for the risk analysis of a variety of mining accidents and incidents. The proposed methodology can be applied to many production processes to investigate the dangerous operations comprehensively and find out the efficient management strategies. Before performing the risk analysis, determining the all possible accidents and incidents in the particular process using the fault tree analysis provides the effectiveness and the originality of the study. Also, using the fuzzy logic to find out the consequences of the events with experts’ linguistic expressions provides an efficient method for performing risk analysis.

A mixed model to evaluate random hardware failures of whole-redundancy system in ISO 26262 based on fault tree analysis and Markov chain

2018 ◽  
Vol 233 (4) ◽  
pp. 890-904 ◽  
Author(s):  
Tong Wang ◽  
Xi Chen ◽  
Zhikai Cai ◽  
Junnan Mi ◽  
Xiaomin Lian
Keyword(s):  
Markov Chain ◽  
Failure Rate ◽  
Mixed Model ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Logic Gates ◽  
Tree Analysis ◽  
Iso 26262 ◽  
Hardware Failure ◽  
Model Based

In order to ensure safety and reliability, some safety-related electrical and electronic (E/E) systems in vehicles need to be designed as a whole-redundancy system. Although ISO 26262 provides guidance for the analysis of random hardware failure, the problem of estimating whether the safety-related E/E systems, especially whole-redundancy system can meet the index of the ASIL level in ISO 26262 is still unsolved. Fault tree analysis (FTA) is one of the basic methods to analyze random hardware failure of a vehicle’s E/E systems quantitatively. In generic FTA, the quantitative analysis of dynamic logic gates, which usually exist in the fault tree of whole-redundancy system, cannot be calculated. Meanwhile, Markov chain can solve the problem of quantitative calculation of dynamic fault tree, but brings a side-effect of complicating the calculation of static logic gates in fault trees. In order to evaluate random hardware failure of a vehicle E/E system more concisely and effectively, and to estimate if a new safety-related E/E system’s random hardware failure rate can meet the index demand in ISO 26262, this study proposed a mixed model based on FTA and Markov chain. First, the definition of random hardware failure and fault classification were clarified. Then, a mixed model based on FTA and Markov chain was proposed. Finally, a whole-dual-redundancy steer by wire system was used as an example to test the validity of the mixed model. This study not only proposed a new mixed model based on FTA and Markov chain for the calculation of a whole-redundancy system’s random hardware failure rate, but also provided a new quantitative validation method for safety-related E/E systems in vehicles that need to meet the reliability index requirement in ISO 26262.

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