Title webinar: Fault detection and diagnosis of the low ΔT syndrome

Description:

The low ΔT syndrome is a phenomenon which affects the performance of the chilled water system in buildings, and if left unaddressed, can have a significant negative impact on the energy consumption of the system and human comfort. A fault detection and diagnosis tool which uses machine learning and Diagnostic Bayesian Networks can detect the low ΔT syndrome and diagnose the faults that cause it, providing early alarms, energy savings and better occupant comfort.

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