Fault detection method for a wastewater treatment process based on a neural model

In this paper is presented a fault detection method for a biological wastewater treatment process (WWTP) based on residual generation. The residuals were determined by comparing the process model affected by different faults with its neural model. The simulation results demonstrate that this approach is efficient for detecting faults which occurs in biotechnological processes.