Abstract:  In order to solve the difficulty in describing failure knowledge of mechanical parts and the low efficiency of sharing and reuse of failure knowledge among different designers, a failure knowledge base is constructed based on ontology modeling technology. A mechanical parts failure knowledge management & support system (FKMS) is designed and developed using Django-Web module. First, by analyzing knowledge requirement, the function structure of the system is established and the content of failure knowledge is determined. Next a failure knowledge ontology model and its entity relation network are constructed by ontology modeling technology, which ensures the integrity of the knowledge base structure. Then the mapping of knowledge model to database is established based on vertical model, enabling efficient storage and extensible structure. In addition, through failure reason networks based on the ontology mode, a fault reason analysis algorithm with belief propagation is put forward. Finally, the coating spallation of helicopter free-wheel sprag is used as a case in the process of knowledge management and failure analysis, which demonstrates the dynamic management support of the system.

Key words: failure knowledge, ontology model, knowledge-base, fault reasoning, knowledge management system