Fault detection, diagnosis and data recovery for a real building heating/cooling billing system

@inproceedings{Chen2010FaultDD,
  title={Fault detection, diagnosis and data recovery for a real building heating/cooling billing system},
  author={Youming Chen and Lili Lan},
  year={2010}
}
A method of fault detection, diagnosis (FDD) and data recovery is proposed for building heating/cooling billing system in this paper. Principal component analysis (PCA) approach is used to extract the correlation of measured variables in heating/cooling billing system and reduce the dimension of measured data. The measured data of billing system under normal operating condition are used to build PCA model. Sensor faults of bias, drifting and complete failure are introduced to building heating… CONTINUE READING