Abstract: Provided is a measurement data recording apparatus including: an acquisition portion configured to acquire time-series measurement data obtained by measuring a state of a target; a recording portion configured to record the acquired measurement data; a measurement data transmission portion configured to transmit the measurement data recorded in the recording portion to a generation apparatus configured to generate a determination model for determining a quality of the state of the target; a model reception portion configured to receive the determination model generated by the generation apparatus; and a determination portion configured to determine the quality of the state of the target from newly acquired measurement data using the received determination model.

Abstract: An information processing apparatus includes: a controller that: acquires channel measurement data for each of one or more channels that is a measurement target, and calculates, for each of the one or more channels, an error-contribution ratio based on a score determined for each of parameters extracted from the channel measurement data acquired for each of the one or more channels, the error-contribution ratio indicating a degree by which each of the one or more channels contributes an error, and the score being determined based on a difference between each of the parameters and a classification boundary used by a machine learning model that classifies the parameters into one of an error class and a normal class.

Abstract: Provided is a measurement data recording apparatus including: an acquisition portion configured to acquire time-series measurement data obtained by measuring a state of a target; a recording portion configured to record the acquired measurement data; a measurement data transmission portion configured to transmit the measurement data recorded in the recording portion to a generation apparatus configured to generate a determination model for determining a quality of the state of the target; a model reception portion configured to receive the determination model generated by the generation apparatus; and a determination portion configured to determine the quality of the state of the target from newly acquired measurement data using the received determination model.

Abstract: An alarm generation system includes: an acquisition unit that acquires a measured value obtained from a sensor; a learning unit that generates a learning model through learning of the measured value acquired by the acquisition unit; a prediction unit that obtains, by using the learning model generated by the learning unit, a predicted measured value that is a measured value to be obtained in a future from a current time point; and an alarm generation unit that generates an alarm when the predicted measured value obtained by the prediction unit satisfies an alarm generation condition.

Abstract: An alarm generation system includes: an acquisition unit that acquires a measured value obtained from a sensor; a learning unit that generates a learning model through learning of the measured value acquired by the acquisition unit; a prediction unit that obtains, by using the learning model generated by the learning unit, a predicted measured value that is a measured value to be obtained in a future from a current time point; and an alarm generation unit that generates an alarm when the predicted measured value obtained by the prediction unit satisfies an alarm generation condition.