Abstract: An acquisition unit is configured to acquire measurement values of a target device. The measurement values that are acquired include at least a temperature and a flow rate of an input fluid to be input to the target device, and a temperature and a flow rate of an output fluid to be output from the target device. A correction unit is configured to obtain a correction measurement value by which the measurement values are corrected through thermal equilibrium calculations based on the measurement values. A distance calculation unit is configured to calculate a Mahalanobis distance with a factor of the correction measurement value.

Abstract: An operation management device includes a state acquiring unit that acquires a measurement value of a first state amount indicating an operation state of a power generation plant, a state updating unit that updates an estimation value of a second state amount, which indicates the operation state of the power generation plant and is a state amount different from the first state amount, based on the measurement value of the first state amount, and a managing unit that manages the operation state of the power generation plant based on the estimation value of the second state amount.

Abstract: In an information processing device according to the present invention, an estimation unit is configured to estimate each of a plurality of estimation values related to a target state quantity by using a plurality of models for explaining a target device. A probability specification unit is configured to specify each of a plurality of probabilities corresponding to the plurality of estimation values on the basis of a probability distribution of values of state quantities related to the target state quantity. A management value specification unit is configured to specify a value to be used for management of the target device on the basis of the plurality of estimation values and the plurality of probabilities.

Abstract: An operation/maintenance management method of an integrated system including a plurality of components or devices includes selecting an index and a period for evaluating the integrated system, acquiring prediction information for input information for use in computation of the index, creating a future prediction scenario by combining the input information, computing an evaluation index related to the scenario, and comparing and displaying evaluation index computation results related to a plurality of scenarios.

Abstract: A state quantity-acquiring unit acquires values of a plurality of state quantities at a certain timing associated with an object device. A state quantity-predicting unit predicts allowable ranges of the values of the plurality of state quantities after a predetermined time has elapsed on the basis of the acquired values of the plurality of state quantities. A display information-generating unit generates display information in which a predicted-value figure which is a figure with a shape corresponding to the allowable ranges of the values of the plurality of state quantities is disposed in a coordinate space with the plurality of state quantities as axes.

Abstract: A plant evaluation system is configured to calculate performance of a plant while receiving setting of operating conditions of the plant and devices installed in the plant and simulating a secular change occurring in the plant during an evaluation target period included in the operating conditions. At least one of the devices is added, a selection of a component improving performance of a certain device is received, and an improvement of the performance of the device by the component is expected and the performance of the plant is calculated.

Abstract: An acquisition unit is configured to acquire measurement values of a target device. A likelihood calculation unit is configured to calculate an occurrence likelihood for each of a plurality of phenomena that are liable to occur to the target device based on the measurement values acquired by the acquisition unit. A table storage unit is configured to store a table in which the plurality of phenomena and occurrence causes of abnormalities of the target device are associated to each other. As estimation unit is configured to estimate the occurrence causes based on the occurrence likelihood and the table.

Abstract: In an information processing device according to the present invention, an estimation unit is configured to estimate each of a plurality of estimation values related to a target state quantity by using a plurality of models for explaining a target device. A probability specification unit is configured to specify each of a plurality of probabilities corresponding to the plurality of estimation values on the basis of a probability distribution of values of state quantities related to the target state quantity. A management value specification unit is configured to specify a value to be used for management of the target device on the basis of the plurality of estimation values and the plurality of probabilities.

Abstract: In an information processing device according to the present invention, a statistics estimation unit estimates a value of a state quantity by using a statistical model constructed based on values of past state quantities of a target device. A physical estimation unit estimates a value of a state quantity by using a physical model constructed based on design data of the target device. A specification unit specifies a value to be used to manage the target device from the value estimated by the statistics estimation unit and the value estimated by the physical estimation unit based on deterioration of the target device with time.

Abstract: In an information processing device according to the present invention, an acquisition unit is configured to acquire a plurality of values related to a state quantity of a target device. An extraction unit is configured to extract a state value group constituted by a plurality of values related to an identical state quantity from the acquired plurality of values. A specification unit is configured to specify a value to be used to manage the target device from the state value group based on reliabilities of the values included in the state value group.

Abstract: An anomaly factor estimation method includes the steps of: calculating, based on a factor table indicating an occurrence frequency of each of factors for each of events, a prior probability that is a probability for each factor to occur; calculating a posterior probability that is a probability for a certain event to be caused by a certain factor; and multiplying the posterior probability by a weighting coefficient relating to a signal-to-noise ratio gain value of a sensor measurement value, and calculating an index indicating an occurrence probability for each combination of the factors and the events.

Abstract: An indicator detection system includes: a data acquiring unit configured to acquire operation data of a machine and operation history data indicating an operation history of the machine; an estimation unit configured to calculate a first estimated value of a parameter of the machine which is to be monitored on the basis of the operation data, the operation history data and an estimation model for estimating a value of the parameter at a time point corresponding to the operation history data for the parameter; and a state evaluating unit configured to evaluate a state of the machine on the basis of a difference between the first estimated value of the parameter from the estimation unit and a measured value or a second estimated value of the parameter included in the operation data acquired by the data acquiring unit.

Abstract: A state quantity acquiring unit is configured to acquire a state quantity of a turbine. A time calculation unit is configured to calculate an operable time at an over firing operation of the turbine based on a design life of the turbine and a state quantity. A distance calculation unit configured to calculate a Mahalanobis distance based on the state quantity. A determination unit configured to determine whether or not the over firing operation of the turbine is possible by the Mahalanobis distance and the operable time.

Abstract: An acquisition unit is configured to acquire a measurement value of a first state quantity of a target device. A model determination unit is configured to determine a model for estimating a value of a second state quantity of the target device for each evaluation item for management of the target device. An estimation unit is configured to estimate the value of the second state quantity on the basis of the measurement value using the model determined by the model determination unit. A management unit calculates a value of the evaluation item using the value estimated by the estimation unit.

Abstract: In an information processing device according to the present invention, a statistics estimation unit estimates a value of a state quantity by using a statistical model constructed based on values of past state quantities of a target device. A physical estimation unit estimates a value of a state quantity by using a physical model constructed based on design data of the target device. A specification unit specifies a value to be used to manage the target device from the value estimated by the statistics estimation unit and the value estimated by the physical estimation unit based on deterioration of the target device with time.

Abstract: An operation/maintenance management method of an integrated system including a plurality of components or devices includes selecting an index and a period for evaluating the integrated system, acquiring prediction information for input information for use in computation of the index, creating a future prediction scenario by combining the input information, computing an evaluation index related to the scenario, and comparing and displaying evaluation index computation results related to a plurality of scenarios.

Abstract: A plant evaluation system is configured to calculate performance of a plant while receiving setting of operating conditions of the plant and devices installed in the plant and simulating a secular change occurring in the plant during an evaluation target period included in the operating conditions. At least one of the devices is added, a selection of a component improving performance of a certain device is received, and an improvement of the performance of the device by the component is expected and the performance of the plant is calculated.

Abstract: A state quantity-acquiring unit acquires values of a plurality of state quantities at a certain timing associated with an object device. A state quantity-predicting unit predicts allowable ranges of the values of the plurality of state quantities after a predetermined time has elapsed on the basis of the acquired values of the plurality of state quantities. A display information-generating unit generates display information in which a predicted-value figure which is a figure with a shape corresponding to the allowable ranges of the values of the plurality of state quantities is disposed in a coordinate space with the plurality of state quantities as axes.

Abstract: In an information processing device according to the present invention, an acquisition unit is configured to acquire a plurality of values related to a state quantity of a target device. An extraction unit is configured to extract a state value group constituted by a plurality of values related to an identical state quantity from the acquired plurality of values. A specification unit is configured to specify a value to be used to manage the target device from the state value group based on reliabilities of the values included in the state value group.

Abstract: An operation management device includes a state acquiring unit that acquires a measurement value of a first state amount indicating an operation state of a power generation plant, a state updating unit that updates an estimation value of a second state amount, which indicates the operation state of the power generation plant and is a state amount different from the first state amount, based on the measurement value of the first state amount, and a managing unit that manages the operation state of the power generation plant based on the estimation value of the second state amount.