Knowledge-based faults diagnosis system for wastewater treatment

This paper proposed a knowledge-based fault diagnosis system using ORP (Oxidation-Reduction Potential) and DO (Dissolved Oxygen) values which usually applied as control parameters in wastewater treatment plants. If the basic control parameters such as ORP and DO can be applied to operation diagnosis, the stability of process will be remarkably improved without additional expenses. This proposed diagnosis method uses only the ORP and DO values obtained from full-scale SBR (Sequencing Batch Reactor). For the classification and diagnosis of these statues, a sequenced process of preprocessing, dimension reducing using PCA and feature extraction with ORP, DO and a synthetic parameter of [ORP DO] were proposed and applied. As results, the synthetic parameter of [ORP DO] shows better fault recognition rate than that of independent application of each parameter. It was considered that this diagnostic system using control parameters could be used to support small-scale wastewater treatment management.