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To detect fault early is very important for safety. This paper proposes a method to detect plant faults early. For the early detections, to classify whether the signals is an early sign of faults or not in subtle signal difference is necessary. To the classification, this paper uses SVM (Support Vector Machine), which is one of a powerful classification technique of machine learning. Data in abnormal...
This paper proposes a method for fault detection of control plants without using plant models. So far, mainly, there exist two methods to detect faults. The first is a statistical method, which uses statistical characteristics of input signals and fault signals. To extract the statistical characteristics, this method requires sufficiently fluctuated signals, which is not satisfied in practical applications...
This paper proposes an operator based fault detection method for an actuator fault of an aluminum plate thermal process with input constraints. Operator-based robust right coprime factorization (RCF) approach is utilized in this method. After developing a mathematical model of the thermal process, a robust tracking operator system is designed for the process with input constraints. Following this,...
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