Monitoring of superconducting magnet system using fuzzy theorem

For the monitoring of large superconducting magnets like those in a nuclear fusion reactor, it is necessary to make decisions integrating data gathered by numerous sensors. Here, the authors propose such a new method using a fuzzy theorem. This method utilizes a number of variables such as fundamental membership functions. These fundamental membership functions are incorporated in the fuzzy theorem and generate one diagnostic factor called the "dangerous factor". They apply this method to the monitoring of an experimental superconducting magnet CS-2. The handheld-type PC based system is installed on the superconducting magnet system for online monitoring tests. The result shows that dangerous factor synthesized by this method can express the quench margin of the magnet.<>