Open AccessTowards designing knowledge bases for aircraft malfunctions diagnostics based on model transformations
Author(s) -
Yuri V. Kotlov,
Vladimir M. Popov,
Aleksandr Yu. Yurin
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2060/1/012016
Subject(s) - troubleshooting , computer science , ontology , table (database) , event (particle physics) , knowledge base , software engineering , software , tree (set theory) , data mining , systems engineering , artificial intelligence , engineering , programming language , mathematical analysis , philosophy , physics , mathematics , epistemology , quantum mechanics , operating system
The paper describes a method of forming prototypes of knowledge bases for the interactive electronic technical manual for RRJ-95 troubleshooting. The method includes three main stages: the formation of an ontology for diagnosing an aircraft malfunctions; the formation of event trees that describe the sequence of operations to eliminate specific malfunctions; the construction of knowledge bases that codify the basic concepts of the ontology and trees formed. At each stage, the following software are used: Protégé, Extended Event Tree Editor (EETE), and Personal Knowledge Base Designer (PKBD). Data-driven integration of software is implemented through model transformations. The description of the main stages of the method; the table of correspondences used in the implementation of model transformations, as well as an illustrative example are presented.