Performance Study of Enhanced Auto-Associative Neural Networks For Sensor Fault Detection
نویسندگان
چکیده
When sensors malfunction, control systems become unreliable. Even with the most sophisticated instruments and control algorithms, a control decision based on faulty data will likely lead to incorrect control actions. “Sensor Fault Detection” is usually considered as a subset of fault detection. One of the well known approaches in Fault Detection is the model based approach in which a computational model is designed to predict the real system output while receiving the same input ([7], [8], and [9]). Figure 1 shows the generic diagram of the model-based technique.
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