论文信息 - AN INNOVATIVE INTELLIGENT SYSTEM FOR FAULT DETECTION IN TOKAMAK MACHINES

AN INNOVATIVE INTELLIGENT SYSTEM FOR FAULT DETECTION IN TOKAMAK MACHINES

In this paper 1 a new fault detection strategy, based on soft computing techniques, to isolate and classify some faults occurring in a tokamak fusion plant is described. In particular, attention is focused on measurements of vertical stresses during plasma disruptions. The strategy is based on a neural model which estimates suitable features of the expected sensor response, allowing to isolate the most frequently occurring faults, together with a fuzzy inference system able to classify the detected faults. A comparison with traditional fault detection techniques implemented at JET 2 has shown a great improvement, because of the great precision in detecting sensor faults, the ability in discriminating among different faults, and the high degree of automation achieved.

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