Risk evaluation of bogie system based on extension theory and entropy weight method

Area of Science:

• Engineering
• Transportation Science
• Risk Management

Background:

• Bogie systems are critical components in railway vehicles, yet their practical evaluation remains difficult.
• Current evaluation methods over-rely on part-specific experiments, limiting comprehensive risk assessment.
• A robust and accurate risk evaluation framework for bogie systems is needed.

Purpose of the Study:

• To establish a novel risk evaluation index system for railway vehicle bogie systems.
• To develop a method for assessing the risk state of bogie systems by integrating quantitative and qualitative data.
• To validate the proposed risk assessment method on real-world bogie system samples.

Main Methods:

• Development of a risk evaluation index system based on inspection data and expert judgment.
• Application of extension theory and entropy weight method for comprehensive risk assessment.
• Empirical validation using four distinct bogie system samples.

Main Results:

• The proposed risk evaluation index system effectively captures the complex factors influencing bogie system integrity.
• The integrated approach using extension theory and entropy weight method provides an exact assessment of the bogie system's risk state.
• Successful application to four different bogie system samples demonstrates the method's practical utility and accuracy.

Conclusions:

• The developed method offers a precise and reliable approach to evaluating the risk state of railway vehicle bogie systems.
• This methodology addresses the limitations of current evaluation practices by incorporating a broader range of data and analytical techniques.
• The findings contribute to enhancing the safety and performance of railway transportation through improved bogie system assessment.