Abstract: An information processing device including a CPU and a memory storing a program. The CPU generates a plurality of cause-and-effect models between variables based on a relationship between a plurality of mechanisms in a production process of a production line, a dependency between a plurality of events associated with the plurality of mechanisms, or a control-based relationship between the plurality of mechanisms, obtains a result of abnormality detection in the production line, calculates a contribution ratio of a variable contributing to abnormality in the result of abnormality detection, and estimates an abnormality causal factor for at least one of the plurality of cause-and-effect models based on the calculated contribution ratio of the variable contributing to abnormality.

Abstract: An abnormality monitoring method capable of reliably detecting abnormality or an initiation of an abnormality of a monitored object includes: acquiring time series monitored data from a monitored object; calculating a wavelet transformed image from the monitored data; calculating a feature value at each point in the wavelet transformed image; and determining a presence or an absence of an abnormality of the monitored object based on the feature value. The feature value is a moment from a predetermined origin on a wavelet transformed image, and the presence or the absence of the abnormality of the monitored object is determined based on a Mahalanobis' Distance calculated from the feature value.