scholarly journals Fuzzy fault tree analysis for gas explosion of coal mining and heading faces in underground coal mines

2018 ◽  
Vol 10 (8) ◽  
pp. 168781401879231 ◽  
Author(s):  
Shulei Shi ◽  
Bingyou Jiang ◽  
Xiangrui Meng ◽  
Li Yang
Keyword(s):  
Coal Mining ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Gas Explosion ◽  
Tree Model ◽  
Minimum Path ◽  
Working Face ◽  
Appropriate Treatment ◽  
Fuzzy Fault Tree Analysis ◽  
Underground Coal Mines

During the past decade, gas explosions have been one of the most serious types of disasters in China, threatening the lives of miners and causing significant losses in terms of national property. This article, by constructing the fuzzy fault tree model of gas explosion on the coalface and heading face, deduces the minimum cut sets and minimum path of the fault tree, analyzes the importance of the fault tree structure, and obtains the ratio of gas explosion. The results show that the isolation of gas and heat sources is the most effective way to prevent gas explosion. In addition, a close detection of gas concentration and appropriate treatment can also avoid explosive accidents by reducing the ratio of explosion to below 0.059%, which is the critical value of explosion. The probability of gas explosion occurred in coal working face is about 0%–2.055%, and the most likely probability is 0.059%. However, the probability of gas explosion occurred in heading face is about 0%–8.543%, and the most probability likely to occur is 0.772% which is larger than that in coal working face. The fuzzy fault tree can not only be applied in the analysis of the coal mining gas explosion, but it also provides the theoretical basis for the precaution and prevention of coal mining accidents.

scholarly journals Hardware Reliability Analysis of a Coal Mine Gas Monitoring System Based on Fuzzy-FTA

2021 ◽  
Vol 11 (22) ◽  
pp. 10616
Author(s):  
Jingtian Xu ◽  
Man Yang ◽  
Shugang Li
Keyword(s):  
Reliability Analysis ◽  
Monitoring System ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Gas Monitoring ◽  
Hardware Failure ◽  
Minimum Path ◽  
Fuzzy Fault Tree Analysis ◽  
Hardware Reliability ◽  
Tree Method

The hardware reliability of a gas monitoring system was investigated using the fuzzy fault tree analysis method. A fault tree was developed considering the hardware failure of the gas monitoring system as a top event. Two minimum path sets were achieved through qualitative analysis using the ascending method. The concept of fuzzy number of the fuzzy set theory was applied to describe the probability of basic event occurrence in the fault tree, and the fuzzy failure probabilities of the middle and top events were calculated using fuzzy AND and OR operators. The results show that the proposed fuzzy fault tree is an effective method of reliability analysis for gas monitoring systems. Results of calculations using this method are more reasonable than those obtained with the conventional fault tree method.

scholarly journals Fuzzy Fault Tree Reliability Analysis Based on Improved T–S Model with Application to NC Turret

2021 ◽  
Author(s):  
Yue Wu ◽  
Zhaojun Yang ◽  
Jili Wang ◽  
Wei Hu ◽  
N. Balakrishnan
Keyword(s):  
Preventive Maintenance ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Weak Links ◽  
Tree Model ◽  
Importance Index ◽  
Fuzzy Fault Tree Analysis ◽  
Importance Analysis ◽  
Mc Simulation ◽  
S Model

Abstract In Takagi and Sugeno (T–S) fuzzy fault tree analysis (FFTA), the construction of T-S fuzzy gates relies too much on expert experience, which will result in inevitable subjective errors. In order to overcome this disadvantage, a new method was proposed which combined importance index with T-S fuzzy fault tree model to evaluate reliability of the events. The importance index of components can be solved through Monte Carlo (MC) simulation. The proposed method is suitable for systems where exact information on the fault probabilities of the components and the magnitude of failure and effect on system are not available. The concept and calculation method of T-S probability importance was presented. Finally, the feasibility of the method is verified by analyzing the reliability of the sealing subsystem of the NC turret and the weak links of the system are obtained by the importance analysis, which will provide data for system fault diagnosis and preventive maintenance.

scholarly journals Fault tree analysis and prevention strategies for gas explosion in underground coal mines of Pakistan

2019 ◽  
Vol 13 (4) ◽  
pp. 121-128
Author(s):  
N. M. Shahani ◽  
M. J. Sajid ◽  
X Zheng ◽  
I. M. Jiskani ◽  
M. A. Brohi ◽  
...  
Keyword(s):  
Coal Mines ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Prevention Strategies ◽  
Gas Explosion ◽  
Tree Analysis ◽  
Underground Coal Mines

An Application of Fuzzy Fault Tree Analysis for Large and Medium-Sized Pumping Stations

2012 ◽  
Vol 170-173 ◽  
pp. 1977-1982
Author(s):  
Qiu Lin Cao ◽  
Xing Hua Wang
Keyword(s):  
Risk Analysis ◽  
Influencing Factors ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Tree Model ◽  
Tree Analysis ◽  
Minimal Cut Sets ◽  
Pumping Stations ◽  
Fuzzy Fault Tree Analysis ◽  
Probability Description

Risk analysis for large and medium-sized pumping stations was conducted by using the theory of fault tree. Model was established for fault tree analysis on running risk of pumping stations. Structural importance of minimal cut sets was analyzed and compared on the magnitude based on the probability description of fault tree given. Then the major influencing factors were identified and risk rating of pumping stations was discussed. In addition, appropriate countermeasures were provided for management. And application example was given.

A fuzzy fault tree analysis based risk assessment approach for enterprise resource planning projects

2018 ◽  
Vol 35 (5) ◽  
pp. 1115-1141 ◽  
Author(s):  
Mina Moeinedini ◽  
Sadigh Raissi ◽  
Kaveh Khalili-Damghani
Keyword(s):  
Risk Factors ◽  
Enterprise Resource Planning ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Resource Planning ◽  
Successful Implementation ◽  
Tree Analysis ◽  
Content Type ◽  
Cause And Effect ◽  
Fuzzy Fault Tree Analysis

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.

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