Abstract: A state monitoring system enabling a sign of abnormality of equipment to be detected is disclosed, which includes: a storage unit to be stored with normal models obtained by analyzing, per series of manipulations, time-series learning data of sensor outputs indicated by respective units of processing equipment when normally finishing processing a raw material through the series of manipulations according to a default sequence; and a processing unit to diagnose a state of the processing equipment on the occasion of processing a specified raw material, upon an input of time-series evaluation data of the sensor output indicated by each of the units of the processing equipment on the occasion of finishing processing the specified raw material through the series of manipulations, on the basis of a comparison between the inputted data and the normal model.