HIT2GAP has developed a facility for fault detection and diagnosis using principal component analysis.  It works by comparing current data against a reference model which has been constructed from historical data.  The module behind this service, known as the 'FDD-PCA module', analyses the values and variances of the incoming data from a building's sensors, looking for any instances where the incoming data does not fit the model.  If an abnormal set of readings is identified, the contribution of each variable is analysed in order to determine which variables were connected with the faulty reading, enabling the nature of the abnormaility to be identified.  HIT2GAP's FDD-PCA module is currently being trialled in the Bouygues Challenger building, near Paris.  

More information about the FDD-PCA module.

HIT2GAP - Conference Paper

This conference paper, A Methodology to Develop a User-Behaviour Tool to Optimize Building Users’ Comfort and Energy Use, was delivered by Ege University at the SBE2016 Conference in Istanbul in October 2016.