{
  "id": 70736,
  "title": "Development of FDD-ON: an Ontology for VAV HVAC System Fault Detection and Diagnostics",
  "url": "https://urgent.news/2026/07/31/development-of-fdd-on-an-ontology-for-vav-hvac-system-fault-detection",
  "topic": "ai",
  "section": "AI",
  "published": "2026-07-31T17:37:34.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2607.29657v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "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…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}