Fault detection and diagnosis of air temperature sensors in an air handling unit using machine 1 learning techniques

The Recurrent Neural network as a deep learning model, and shallow Feedforward Neural network are developed for prediction of the air temperature value at the current time step using the previous measurements of that target sensor; the faults are diagnosed if the residuals exceed the threshold.