Fuzzy Fault Tree Method Research Articles

Applying Fuzzy Fault Tree Method to Evaluate the Reliability of College Classroom Teaching.

The evaluation of classroom teaching quality is closely related to the development of higher education as a scientific and effective evaluation system that can provide a solid foundation for formulating educational policies. Therefore, an evaluation model of classroom teaching quality in colleges and universities is established based on the fuzzy fault tree theory with “classroom teaching failure” as the top event to effectively evaluate the reliability of college classroom teaching and optimize the teaching strategies. In consideration of the lack of availability and dynamics of classroom teaching data, fuzzy numbers are used to describe the probability of underlying events. In addition, the top event probability of the fuzzy fault tree is calculated by the double-layer Monte Carlo method (MCM), which analyzes the classroom teaching effect based on the fuzzy fault tree reasonable. In summary, the quantitative evaluation system of classroom teaching quality based on fuzzy fault trees can evaluate classroom teaching more comprehensively and dynamically and help to improve the teaching quality of higher education.

Research on Fault Diagnosis Method of Tunnel Inspection Robot Based on T−S Fuzzy FTA

Aiming at the intelligent fault diagnosis of tunnel inspection robot, the T-S fuzzy fault tree method was proposed to build the intelligent diagnosis system. Taking positioning system of the robot as an example, the T-S fuzzy FTA model of the system was established. And the T-S importance of each component and fault checking sequence were calculated using the T-S fuzzy gate rule. The example analysis results show that, the method improves the accuracy and practicability of fault diagnosis of the robot system.

Quantitative Analysis of Blowout Risk in Production Platform: A Fuzzy Fault Tree Approach

Fault tree approach is a widely used for importance and risk assessment. This paper analyses the blowout risk in production platform by a fuzzy fault tree method. This method is appropriate for the situation that lack or incompleteness of data. The judgements from experts can be quantified by using this framework. Analysis process is introduced. It establishes a fault tree including a top event and 13 basic events. The top event is blowout. Through analysis, 15 minimum cut sets are obtained and the fuzzy failure probability and single definite probability values are calculated. Finally, the probability of blowout risk in production platform is 5.67×10-4.

Safety Risk Analysis of Box-Culvert Jacking Construction by Using Fuzzy Fault Tree Method Based on WBS-RBS

The box-culvert jacking of highway constructions crossing the existing railway is construction difficult and technically complex. If there are safe accidents, it will bring great loss. According to this situation, a new method based on WBS-RBS is presented in this paper to comprehensively identify the risk factors of safety accident with the fault tree, and then the fuzzy probability of basic events are described to triangle fuzzy numbers. Furthermore the happening fuzzy probability of the top event can be calculated. The proposed method provides a scientific method for the safety risk analysis of similar engineering.