Machine Learning could Help Buildings Notify Occupants about Critical Systems Failures before they Happen

Start-ups use sensors and machine learning to do “predictive maintenance”, spotting faults in building systems like heating and air con before they crash. Data from sensors built into HVAC units paired with a machine learning algorithm predicted 76 out of 124 real faults, including 41 out of 44 where an appliance’s temperature rose above tolerable levels, with a false positive rate of 5%.


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