Macroeconomics

Engineering

Philosophy

Automation

Industry 4.0

Systems engineering

Economics

Data mining

Computer science

Manufacturing engineering

Condition monitoring

Business

Mechanical engineering

Process management

Task (project management)

Mathematics

Epistemology

Productivity

Domain (mathematical analysis)

Mathematical analysis

Data science

Ontology

Smart manufacturing

Software engineering

Domain knowledge

Knowledge management

Production (economics)

Ontology-based data integration

Electrical engineering

Cybernetics & Systems

Following the trend of Industry 4.0, automation in different manufacturing processes has triggered the use of intelligent condition monitoring systems, which are crucial for improving productivity and availability of production systems. To develop such an intelligent system, semantic technologies are of paramount importance. This paper introduces an ontology that will be used to develop an intelligent condition monitoring system. The proposed ontology formalizes domain knowledge related to condition monitoring tasks of manufacturing processes. After introducing the ontology in detail, we evaluate the proposed ontology by instantiating it with a case study: a conditional maintenance task of bearings in rotating machinery.

Smart Condition Monitoring for Industry 4.0 Manufacturing Processes: An Ontology-Based Approach