Brains4Buildings Webinar
Fault Detection and diagnosis of the low at syndrome by Anand Thamban
Amand Thamban is solutions engineer at Graydent.
22.09.2022 / 16.00 – 17.00 CET / Online
The low at syndrome is a phenomenon which affects the performance of the chilled water system in buldings, and i left unaddresses, 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 at syndrome and diagnose the faults that cause it, providing early alarms, energy savings and better occupant comfort.
If you want to join, contact Xandra Duiveman
