Abstract: Provided is an apparatus including: a measurement data acquisition unit for acquiring a plurality of types of measurement data representing a state of a target; a group information acquisition unit for acquiring group information representing a group of measurement data having a higher correlation than a reference among the types of measurement data; a specifying unit for specifying abnormal measurement data among the measurement data acquired by the measurement data acquisition unit, for each group represented by the group information; a supplying unit for supplying each of the abnormal measurement data specified for each group by the specifying unit to a model for outputting, in response to any one type of measurement data being input for each group represented by the group information, a state index value representing a quality of a state of the target; and an output unit for outputting a signal corresponding to the state index value.

Abstract: A learning apparatus is provided, which comprises: a learning data acquiring unit for acquiring learning data including measurement data obtained by measuring a facility and a state of the facility; a learning pre-processing unit for performing a pre-processing for reducing a drift of the measurement data in the learning data and outputting pre-processed learning data; and a learning processing unit for performing a processing for learning a model for determining the state of the facility from the pre-processed measurement data, by using the pre-processed learning data.

Abstract: A learning apparatus is provided, which comprises: a learning data acquiring unit for acquiring learning data including measurement data obtained by measuring a facility and a state of the facility; a learning pre-processing unit for performing a pre-processing for reducing a drift of the measurement data in the learning data and outputting pre-processed learning data; and a learning processing unit for performing a processing for learning a model for determining the state of the facility from the pre-processed measurement data, by using the pre-processed learning data.