For Automated Fault Detection and Energy Data Validation in Existing District Heating Systems

@inproceedings{Sandin2012ForAF,
  title={For Automated Fault Detection and Energy Data Validation in Existing District Heating Systems},
  author={Fredrik Sandin and Jonas Gustafsson and Robert Eklund and Jerker Delsing},
  year={2012}
}
Fault detection and diagnostics (FDD) of district heating substations (DHS) are important activities because malfunctioning components can lead to incorrect billing and waste of energy. Although FDD has been an activate research area for nearly two decades, only a few simple tools are commonly deployed in the district energy industry. Some of the methods proposed in the literature are promising, but their complexity may prevent broader application. Other methods require sensor data that are not… CONTINUE READING