Failure prediction apparatus for superconductive magnet and magnetic resonance imaging system

   
   

In order to allow easy estimation of the operating condition of a magnet by a technician of any skill level, and to allow accurate prediction of a potential failure beforehand, a data processing section 52 is provided for resolving pressure data for a cooling helium gas, level (remaining amount) data for a liquid helium, first temperature data for a first stage of a refrigerator, second temperature data for a second stage of the refrigerator, and third temperature (room temperature) data for an equipment room 13 in which a compressor 40 is placed, as prespecified parameters, into a plurality of elements, using the elements as magnet data, calculating the Mahalanobis distance D.sup.2 of the normalized magnet data, and comparing the calculated Mahalanobis distance D.sup.2 with data stored in a database 53 obtained by developing magnet data in a normal condition into a Mahalanobis reference space to estimate the operating condition.

 
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