Fault predicting system and fault prediction method

Abstract

A reference time point which is equivalent to a fault-prediction-execution time point is sequentially changed by setting, as a symptom sensing period, a period from a time point which is a predetermined first period-length before the reference time point until the reference time point, and by setting, as a prediction target period, a period from the reference time point until a time point which is a predetermined second period-length after the reference time point if a fault does not occur in the period from the reference time point until the time point which is the second period-length after the reference time point, and a period from the reference time point until a fault-occurrence time point if a fault occurs in the period from the reference time point until the time point which is the second period-length after the reference time point, and machine learning is performed by using, as an explanatory variable, a feature quantity based on the operation log information of the symptom sensing period, and using, as a response variable, a fault index value based on whether or not there is a particular-event occurrence in the operation log information corresponding to a fault occurrence in the fault record information of the prediction target period, and a period-length from the reference time point until the fault-occurrence time point.