Monitoring and sensor fault detection in a waste-water treatment process based on a fuzzy model
نویسندگان
چکیده
In this paper, monitoring and sensor fault detection in a waste-water treatment process are discussed. Monitoring is based on the Takagi-Sugeno fuzzy model of a plant process obtained by using Gustafson-Kessel fuzzy clustering algorithm.The paper also explains the principle of the Takagi-Sugeno fuzzy model. The main idea is to cope with the non-linearity of a monitored process. The output of the fuzzy-model in normal operation regime is compared with the current behavior. If the fault-detection index exceeds a certain predefined value (the fault-tolerant index), an alarm is triggered. The data treated in this paper are obtained with a simulation model of a waste-water treatment plant and by simulating sensor faults. The signals to be measured in the process monitoring are the following: influent ammonia concentration, dissolved-oxygen concentration in the first aerobic reactor tank, temperature, dissolved-oxygen concentration and ammonia concentration in the second aerobic reactor.
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