Mitsubishi Heavy Industries Limited

Mitsubishi Power, Ltd.

Mitsubishi Jukogyo Kabushiki Kaisha

Shintaro Kumano

Katsuhiko Abe

Keisuke Yamamoto

Makoto Kishi

Yukihiko Inoue

Mayumi Saito

Shun Niizuma

Kuniaki Aoyama

Ichiro Nagano

Nobuhiko Nishimura

Toru Tanaka

Takahiro Yamauchi

Yasuoki Tomita

Yoichi Sato

Takashi Sonoda

Naoki Suzuki

Akihisa Endo

Naoto Kawase

Kayoko Kawata

Masashi Ozaki

Fumitoshi Sakata

Motoshi Takasu

Yasushi Morishita

Nobuhiro Osaki

Mitsuyoshi Matsumoto

Takanori Karato

Kouji Satake

Masato Kurita

Takahiro Kawaguchi

Nobuya Yoshimoto

Takayoshi Isoda

Satoru Funahashi

Yuki Enomoto

Takeshi Naito

Toru Goto

Kazuyuki Misawa

Masao Ogino

Koichi Morimura

Etsushi Kanno

Shinichiro Hori

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.

Information processing device, information processing method, and program

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.

Monitoring device, method for monitoring target device, and program

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.

Operation management device, power generation plant, and operation management method for power generation plant

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.

Operation/maintenance management method, program, and operation/maintenance management system

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.

State analysis apparatus, state analysis method, and program

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.

Plant evaluation system, plant evaluation method, and program

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.

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.

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.

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.

Indicator detection system and indicator detection method

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.

Information processing device, information processing method, program, and communication device

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.

Plant analyzer, plant analysis method, and program thereof

A method for trouble managing in equipment is provided, with which optimal timing of repairing the equipment and occurrence of malfunction probable to occur concurrently with present malfunction or later stage can be inferred with sufficient accuracy, and which can be adopted for large-scale equipment used in a plant. The method for trouble managing of equipment by monitoring operation condition of the equipment with a monitoring means and inferring cause of malfunction of the equipment by an inference means which infers the cause of the malfunction using measured data concerning the operation condition obtained by the monitoring means when malfunctions occur as nodes of the inference means, comprises selecting acoustic data most similar to sound emitted from the equipment in which malfunction has occurred from among a plurality of acoustic data provide beforehand, selecting morphologic data most similar to a pattern of operating condition in the equipment from among a plurality of morphologic data provide beforehand, adding the selected acoustic data and the selected morphologic data to the nodes, and performing inference of cause of the malfunction of the equipment by a first Bayesian network base on the nodes.

Method for trouble managing of equipment

The precision of crack-propagation prediction is improved by taking into consideration a variation in the error due to inspectors and inspection methods. There is provided a crack-propagation prediction method including a correlation-information preparing step of measuring the length of a crack initiated in a test object by a plurality of inspectors and/or a plurality of inspection methods and obtaining correlation information between data acquired through the measurement and the condition of an actual crack; a crack-length estimating step of estimating the actual length of the crack initiated in an inspection target on the basis of the crack length measured by an inspector during inspection of the inspection target and the correlation information; and a crack-propagation-curve estimating step of estimating a crack-propagation curve of the inspection target originating from the crack length estimated in the crack-length estimating step.

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Tokyo, Japan

Shintaro Kumano