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UID:215fe96ee5cb022e7ba4622abdf7bfee@kubr.nl
DTSTAMP:20261023T234842Z
SUMMARY:Brains4Buildings Webinar #6: Fault Detection and diagnosis of the l
 ow AT syndrome
DESCRIPTION:Anand Thamban will present his recently finished research on Fa
 ult Detection and diagnosis of the low AT syndrome. The low AT syndrome is
  a phenomenon which affects the performance of the chilled water system in
  buildings\, and if left unaddressed\, can have a significant negative imp
 act on the energy consumption of the system and human comfort. A fault det
 ection and diagnosis tool which uses machine learning and Diagnostic Bayes
 ian Networks can detect the low AT syndrome and diagnose the faults that c
 ause it\, providing early alarms\, energy savings and better occupant comf
 ort.\n\nAbout the Brains 4 Buildings project: B4B is a multi-year\, multi-
 stakeholder project focused on developing methods to harness big data from
  smart meters\, building management systems and the Internet of Things dev
 ices to reduce energy consumption\, increase comfort\, respond flexibly to
  user behaviour and local energy supply and demand\, and save on installat
 ion maintenance costs.<p>https://www.aanmelder.nl/brains4buildings6/subscr
 ibe</p>
URL:https://kubr.nl/kalender/activiteit/463-brains4buildings-webinar-6-faul
 t-detection-and-diagnosis-of-the-low-at-syndrome
DTSTART:20220922T140000Z
DTEND:20220922T150000Z
ORGANIZER:mailto:no-reply@kubr.nl
SEQUENCE:27
X-ALT-DESC;FMTTYPE=text/html:<p><u><strong>Anand Thamban</strong></u> will 
 present his recently finished research on <u><strong>Fault Detection and d
 iagnosis of the low AT syndrome</strong></u>. The low AT syndrome is a phe
 nomenon which affects the performance of the chilled water system in build
 ings\, 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 Ne
 tworks can detect the low AT syndrome and diagnose the faults that cause i
 t\, providing early alarms\, energy savings and better occupant comfort.</
 p>\n\n<p><b style=""><span style="">About the Brains 4 Buildings project: 
 </span></b><span style="">B4B is a multi-year\, multi-stakeholder project 
 focused on developing methods to harness big data from smart meters\, buil
 ding management systems and the Internet of Things devices to reduce energ
 y consumption\, increase comfort\, respond </span><span>flexibly to user b
 ehaviour and local energy supply and demand\, and save on installation mai
 ntenance costs.</span></p><p>https://www.aanmelder.nl/brains4buildings6/su
 bscribe</p>
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