A fault propagation model for complex systems based on community structure

The traditional fault localisation methods are always based on rough modelling of causal relationship between fault types and performance, ignoring the complex network dynamic characteristics of complex systems, especially the influence of community structure on fault propagation, which leads to the poor fault localisation result. In this paper, a new fault propagation model based on community structure is proposed, firstly the structure and characteristics of complex equipment system are transformed into a complex network, and then the community structure is detected. Finally, we realise time-continuous fault diagnosis, incorporate the dynamics of the immune networks to the fault propagation model. In the stage of detecting community structure, the improved SimRank method is adopted and the fault rate is set according to the calculated object, which effectively improves the defect that the traditional algorithm is easy to be disrupted by independent objects. The experimental results show that the algorithm based on community structure can achieve accurate fault localisation.