Monitoring of waste-water treatment plant using Takagi-Sugeno fuzzy model

In this paper detection of sensor faults in waste-water treatment plant by Gustafson-Kessel fuzzy clustering algorithm is discussed and presented. The main idea in the case of process monitoring by the use of fuzzy clustering algorithms is comparison between the fuzzy clusters for a normal operation regime and the current behavior. The detection of sensor faults was applied to the simulation model of the waste-water treatment plant, where the following measurements were obtained: influent ammonia concentration, dissolved oxygen concentration in the first aerobic reactor tank, temperature, dissolved oxygen concentration and the ammonia concentration in the second aerobic reactor. The results of fault detection based on fuzzy model are shown and discussed.