Evidence record 15757 · automatically gathered

Development of FDD-ON: an Ontology for VAV HVAC System Fault Detection and Diagnostics

Fault detection and diagnosis (FDD) technology is essential for improving HVAC system reliability, energy efficiency, and maintenance effectiveness. However, effective deployment of FDD solutions in buildings requires structured domain knowledge that can bridge heterogeneous data sources, diverse equipment types, and varied diagnostic outputs. Limited data interpretability and interoperability within the FDD domain have led to fragmented information silos, hindering the implementation of FDD and

Record details

Published: 31 July 2026
Source: arXiv cs.AI
Category: Research
Topics: Safety & alignment · Healthcare · Environment
Retrieved: 3 August 2026

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ethics.ai (31 July 2026), “Development of FDD-ON: an Ontology for VAV HVAC System Fault Detection and Diagnostics,” evidence record 15757, https://ethics.ai/record/15757 (originally published by arXiv cs.AI).

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