Abstract: An assessment method of the Electromagnetic Pulse (EMP) sensitivity of vehicle engine system is proposed based on Hierarchical Bayesian Networks (HBN). Considering the randomness of the parameters such as the position of the electromagnetic interference source, the polarization angle, component sensitivity and so on, the proposed method can estimate the failure probability of the engine system under strong EMP. The EMP propagation model is established by Event Tree Analysis (ETA), and the risk probability of the electromagnetic environment is determined. The coupled path of the engine of the engine system is analyzed using the Electromagnetic Topological (EMT). By correlation of invalidation of the same layer cells, as well as HBN integrating ETA and EMT, the assessment model of engine system for EMP sensitivity is established, and the failure probability formula from the component level to system level is derived. A case study for the pulse susceptibility assessment of the vehicle engine against high-latitude EMP illustrates the model parameter acquisition method and calculation process. In addition, vulnerability of vehicle engine against Ultra Wide Band (UWB) high power microwave is also presented to demonstrate the applicability of the proposed model.

Key words: communication technology, systematic evaluation and feasibility analysis, susceptibility assessment, hierarchical Bayesian networks(HBN), engine system, electromagnetic pulse, electromagnetic topology