Fault entity recognition is a basis of obtaining the knowledge of aeroengine fault autonomously, which plays an important role in realizing the intelligent fault diagnosis of aeroengine. For building up fleetly accurately aeroengine fault knowledge base, on the basis of the five kinds of aeroengine fault entity type defined, i.e. “unit”, “state failure”, “characterization of signals”, “inspection methods” and “solution”, a kind of BertBiLSTMCRF model of aeroengine fault entity recognition method preliminary is constructed. Based on the largescale data set analysis of an aeroengine, fault entities are extracted and fault knowledge map of abnormal oil pressure is constructed, verifying the effectiveness of the proposed method in identifying heterogeneous fault data of aeroengine