4.4 Article

Explainable AI for Chiller Fault-Detection Systems: Gaining Human Trust

Journal

COMPUTER
Volume 54, Issue 10, Pages 60-68

Publisher

IEEE COMPUTER SOC
DOI: 10.1109/MC.2021.3071551

Keywords

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Funding

  1. National Research Foundation of Singapore
  2. National Science Foundation [1645964]
  3. Direct For Computer & Info Scie & Enginr [1645964] Funding Source: National Science Foundation
  4. Division Of Computer and Network Systems [1645964] Funding Source: National Science Foundation

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The study looks into the function of explainable Artificial Intelligence (XAI) in establishing trust in data-driven fault detection and diagnosis (FDD) and examines use cases of XAI-FDD on a building in Singapore with six chillers.
We investigate the role of explainable Artificial Intelligence (XAI) for building trust in data-driven fault detection and diagnosis (FDD). We examine use cases for XAI-FDD on a building in Singapore that has six chillers.

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