Safety Assessment of Bogie System Based on Intuitionistic Fuzzy Set and Complex Network Theory

Abstract

The bogie system, which is the critical component of high-speed train (HST), plays an important and irreplaceable role in the bearing, traction and braking of the HST. This paper mainly presents a new method to assess bogie system safety. First, in order to reduce the effect of subjective factors and uncertainty of historical failure data, hesitant interval-valued intuitionistic fuzzy set (HIVIFS) is introduced to reflect failure propagation mechanism and fault consequences of components in bogie system. Second, from the perspective of fault propagation, bogie system safety measurement is put forward to assess system state through integration of the failure consequences of multi fault paths according to hesitant interval-valued intuitionistic fuzzy Choquet integral (HIVIFCI). Results show that the proposed model is capable of (i) achieving a more accurate result for safety assessment of bogie system and (ii) identifying all possibility bogie system’s fault propagation paths. The achievements have important theoretical value and practical significance and could provide a basis for making maintenance strategies and reducing economic losses.