Human-informed Building Automation
Enhanced Whole-Building System FDD
Martín Mosteiro-Romero (TU Delft - Civil Engineering & Geosciences)
Laure Itard (TU Delft - Architecture and the Built Environment)
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Abstract
Modern building systems generate vast sensor data for monitoring and control, yet faults in sensors, controls and documentation often undermine performance. Using Diagnostic Bayesian Networks (DBN)1, this study demonstrates whole-building fault detection and diagnosis (FDD) in a Dutch office and explores how occupant feedback can complement unreliable sensor data for resilient building operation.
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