Abstract: A normalization unit acquires a normalized reference value being a value obtained from normalization of a reference value according to a predetermined normalization rule, the reference value being a status value acquired from an air conditioner during a normal estimation period during which the air conditioner is estimated to operate normally, the status value indicating an operational status of the air conditioner. An acquiring unit acquires from the air conditioner, the status value as a diagnosis value during a diagnosis period during which it is not clear whether or not the air conditioner operates normally and which is after the normal estimation period. The normalization unit normalizes the diagnosis value according to the normalization rule.

Abstract: A purely-lateral position estimation unit (1603) estimates as an estimated purely-lateral position, when a disturbance wave to disturb communication performed in a train is generated while the train is traveling, a position existing in a purely-lateral direction with respect to a position of a generation source of the disturbance wave. A feature extraction unit (1604) extracts a feature of a measured reception power value being a reception power value measured in the train during a disturbance wave generation period wherein the disturbance wave has been generated.

Abstract: A device for monitoring state of apparatus projects a plurality of pieces of measured data to a dimensionless space in which a plurality of display shapes of a plurality of pieces of normal information are represented by a common shape on the basis of a positional relationship between the plurality of display shapes of the plurality of pieces of normal information and the plurality of pieces of measured data, and estimates a distribution of the state of the apparatus on the basis of the plurality of pieces of measured data projected to the dimensionless space.

Abstract: An equipment state monitoring device projects a plurality of pieces of actual measurement data indicating a state value of equipment to a dimensionless space in which a plurality of display shapes indicating a respective plurality of pieces of normal information indicating a normal state of the equipment are represented by a common shape, and estimates a distribution of a state of the equipment on the basis of the plurality of pieces of actual measurement data projected to the dimensionless space. Further, both or one of the normal information in the dimensionless space and the actual measurement data in the dimensionless space is corrected on the basis of the relationship between actual measurement data indicating the normal state of the equipment in the dimensionless space and the display shape indicating the normal information in the dimensionless space.

Abstract: An equipment state monitoring device includes: a feature amount extracting unit to extract a feature amount of operation data in which a state of equipment is measured; an operation pattern determining unit to determine whether an operation pattern of the equipment when the operation data is measured is a learned pattern in which a determination range of a state of the equipment is learned or an unlearned pattern; a feature amount correcting unit to correct the feature amount of the operation data corresponding to the operation pattern determined as the unlearned pattern to correspond to the learned pattern on a basis of a relationship between an operation pattern of the equipment and a feature amount of operation data; and an equipment state determining unit to determine a state of the equipment on a basis of the corrected feature amount and a determination range of a state of the equipment.

Abstract: a permanent magnet synchronous motor diagnostic device includes: a negative-sequence current calculator that calculates a negative-sequence current, based on magnitudes of a plurality of phase currents flowing through a permanent magnet synchronous motor that rotates a load; and a deterioration diagnoser that diagnoses deterioration of a plain bearing supporting the permanent magnet synchronous motor, based on the negative-sequence current.

Abstract: A device for monitoring state of apparatus projects a plurality of pieces of measured data to a dimensionless space in which a plurality of display shapes of a plurality of pieces of normal information are represented by a common shape on the basis of a positional relationship between the plurality of display shapes of the plurality of pieces of normal information and the plurality of pieces of measured data, and estimates a distribution of the state of the apparatus on the basis of the plurality of pieces of measured data projected to the dimensionless space.

Abstract: A state estimation device calculates a state transition table indicating a state transition assumed in an object every time a connection pattern between partial waveforms is changed, selects a connection pattern from the state transition table on the basis of entropy that is a statistical index of the state transition of the object, and estimates a state of the object at each time and a state transition of the object on the basis of the selected connection pattern.

Abstract: A principal component calculating unit (13) for calculating a principal component of a plurality of sensor data collected from a device, and a physical quantity for failure determination calculating unit (11) for calculating a physical quantity to be used for failure determination on the basis of the plurality of sensor data are provided. Further, an operation state classification unit (14) for generating classification, for each operation state, of the sensor data collected from the device, using the principal component calculated by the principal component calculating unit (13) and the physical quantity calculated by the physical quantity for failure determination calculating unit (11) is provided.

Abstract: A to-be-classified data generating unit generating to-be-classified data from pieces of sensor data collected from an apparatus; a division candidate selecting unit selecting, as division candidates, candidates of boundary lines used to divide a value range of the to-be-classified data generated by the to-be-classified data generating unit; and a connection density calculating unit calculating, for each division candidate selected by the division candidate selecting unit, a connection density representing closeness of collection timings between pieces of the to-be-classified data divided by each division candidate are provided.

Abstract: A principal component calculating unit (13) for calculating a principal component of a plurality of sensor data collected from a device, and a physical quantity for failure determination calculating unit (11) for calculating a physical quantity to be used for failure determination on the basis of the plurality of sensor data are provided. Further, an operation state classification unit (14) for generating classification, for each operation state, of the sensor data collected from the device, using the principal component calculated by the principal component calculating unit (13) and the physical quantity calculated by the physical quantity for failure determination calculating unit (11) is provided.