Avionics Maintenance Ontology Building for Failure Diagnosis Support

Abstract

In the aviation industry, the delay in maintaining or recovering aircrafts heavily impacts the profit of an airline company. Consequently the maintenance actions identification and planning of aircrafts is crucial. However, due to the complexity of the domain in terms of data sources, distributed systems and information availability, it is hard to provide automatic maintenance support. We propose to use semantic technologies to model the domain at a conceptual level through ontology, thus abstracting from the data sources and the maintenancers'uses and jobs. In this manner the information relevant for characterizing failures and maintenance events is encapsulated and provided to end users via an easier access, which otherwise would be inaccessible or would require expert analysis to obtain. Such a formal model of the domain can furthermore enable automated reasoning for maintenance discovery and failure causes detection by integrating a large amount of background contextual information scattering in different resources. In this paper we provide the rationale of the Avionics Maintenance ontology i.e. how we built it through expert knowledge and alignment of different sources and an ontology alignment evaluation tool.

A Core Industrial Maintenance Ontology Development Process

“…This article discussestheimportanceofrepresentationlanguageselectionusedateachphaseofontological This article shows how to use ontologies with databases to store cases and an intelligent multi-agent system to make decisions and manage road system maintenance planning. • Article 13: Construction of an aircraft maintenance ontology for fault diagnosis assistance (Palacios et al, 2016): to manage maintenance and detect the causes of aircraft failures, an ontology-basedsystemhasbeendevelopedwiththehelpofdomainexpertsandalignmentwith various data sources and assessment tools of ontologies. The development and evaluation process and the concepts relating to maintenance can be reused.…”

SemKoRe: Improving Machine Maintenance in Industrial IoT with Semantic Knowledge Graphs

“…L. Palacios et al [14] propose an ontology based support for fault diagnosis for aircraft maintenance operations. An aircraft maintenance ontology is modeled and fed by the (manual) alignment of several existing ontologies related to the avionics domain to discover the relations between the causes and failure symptoms, explain the failures and any unscheduled maintenance requirements as well as the possible procedures that can be applied to each situation.…”

Modelling Decision Support Systems using Conceptual Constraints - Linking Process Systems Engineering and Decision Making Models

“…In addition, there are other communities working on similar issues that PSE attempts to solve (e.g. planning & scheduling (Palacios et al, 2016), failure prevention (Rajpathak et al, 2001)). …”