Explainable AI for Chiller Fault-Detection Systems: Gaining Human Trust
Seshadhri Srinivasan, Pandarasamy Arjunan, Baihong Jin, Alberto Sangiovanni‐Vincentelli, Zuraimi Sultan, Kameshwar Poolla
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.
Topics & Concepts
Computer scienceFault detection and isolationChillerFault (geology)Computer securityArtificial intelligenceActuatorPhysicsSeismologyThermodynamicsGeologyExplainable Artificial Intelligence (XAI)Anomaly Detection Techniques and ApplicationsMachine Learning in Healthcare