Абстрактный

D-Matrix: Fault Diagnosis Framework

Tinal R. Thombare, Lalit Dole

Fault dependency (D-matrix) is a systematic diagnostic model which is used to catch the fault system data and its causal relationship at the hierarchical system-level. It consists of dependencies and relationship between observable failure modes and symptoms associated with a system. Proposed system describes an ontology based text mining method for automatically constructing and updating a D-matrix by mining thousands of repair verbatim data (typically written in unstructured text) collected during the diagnosis episodes. First we construct fault diagnosis ontology and then employ text mining method to identify dependencies. The proposed method will be implemented as a prototype tool and validated by using real-life data collected from the automobile domain.