FDD-ON solves interoperability problems in HVAC fault diagnosis by creating a shared vocabulary and logical structure that lets different diagnostic tools, datasets, and applications understand each other.
This paper introduces FDD-ON, a structured knowledge framework (ontology) for understanding and diagnosing faults in HVAC systems. It standardizes how different systems describe equipment problems, symptoms, and impacts, enabling AI tools and building management systems to share diagnostic information reliably.