Explainable AI for Chiller Fault-Detection Systems: Gaining Human Trust | IEEE Journals & Magazine | IEEE Xplore
Subscribe
ADVANCED SEARCH
Journals & Magazines >Computer >Volume: 54 Issue: 10

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

PDF
Seshadhri Srinivasan; Pandarasamy Arjunan; Baihong Jin; Alberto L. Sangiovanni-Vincentelli; Zuraimi Sultan; Kameshwar Poolla
All Authors

Abstract:

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-F...Show More

Metadata

Abstract:

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.
Published in: Computer ( Volume: 54, Issue: 10, October 2021)
Page(s): 60 - 68
Date of Publication: 24 September 2021

ISSN Information:

DOI: 10.1109/MC.2021.3071551

Funding Agency:

Contents
Contact IEEE to Subscribe

References

References is not available for this document.

IEEE Account

Purchase Details

Profile Information

Need Help?

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.