Aiming at solving the problems of large number of wind turbine faults

complex fault knowledge relationship

large difference of knowledge expression and low efficiency of knowledge reasoning

a framework of acquisition

expression and reasoning of wind turbine fault knowledge is proposed. Firstly

through the failure mode and effect analysis method based on the fault tree analysis method

the expert knowledge of wind turbine trouble shooting and maintenance is comprehensively obtained and sorted out. Then

with the help of ontology theory

unstructured expert knowledge is expressed structurally to form a knowledge map and displayed visually. Combined with self-defined rules of ontology and causal reasoning model

the query and reasoning of fault causes are realized

which improves the efficiency of knowledge query and reasoning. Finally

the practicability of this method is illustrated by a specific unit fault case. The results of this study can provide a direction for the intelligent development of wind farm's operation and maintenance.