Failure knowledge diagnosis model based on the integration of Fmea and Fta

Failure Mode Effects Analysis and Failure Tree Analysis are two effective failure analysis and diagnosis technologies. Their results are summarized as tables and trees, which stored in the form of textual natural language descriptions or diagrams that limit extraction of failure knowledge and the reuse of FMEA and FTA. To solve this problem, ontology-based failure knowledge diagnosis model has been proposed that provides an effective failure knowledge diagnosis system. Failure domain ontology was constructed by using the ontology language. This model can generate FTA trees and FMEA table from the reasoning of ontology instances. The applicability and effects have been confirmed through the application of gyroscope production process.