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公开(公告)号：US20230234175A1
公开(公告)日：2023-07-27
申请号：US17925309
申请日：2021-03-04
Applicant: OMRON Corporation
Inventor： Masayuki SUGIOKA , Masayoshi TSUKIKAWA , Kota MIYAMOTO , Kento TSUCHIKAWA , Yuki SAKAMOTO
IPC: B23P19/06
CPC classification number: B23P19/066
Abstract: According to the present invention, an axial force of a screw which is generated by screw driving is estimated. A control part applies a predetermined torque generated by a rotation axis servomotor to a screw in a rotation direction where a screw is driven, and thereafter releases the torque. The control part then estimates an axial force of the driven screw based on fluctuation of a rotation position of the rotation axis servomotor which occurs due to the release of the torque.
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公开(公告)号：US20190278247A1
公开(公告)日：2019-09-12
申请号：US16219973
申请日：2018-12-14
Applicant: OMRON Corporation
Inventor： Yutaka ABE , Shinsuke KAWANOUE , Kota MIYAMOTO , Yuki UEYAMA
Abstract: A control system and a control method are provided. A control device in the control system includes a computation processing unit related to control of a control target, a collection unit that executes a process of collecting data associated with the control target, and a monitoring processing unit that executes a process of monitoring a state of the control target and includes a feature quantity generation unit that executes a process for generating a feature quantity from the collected data, and a detection unit that executes a for detecting an abnormality occurring in the control target using the generated feature quantity and an abnormality detection parameter suitable for detection of an abnormality occurring in the control target that is set based on a result of machine learning. An information processing device executes emulation of the monitoring process using the data associated with the control target from the control device.
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3.发明公开公开(公告)号：US20240231338A9
公开(公告)日：2024-07-11
申请号：US18279522
申请日：2021-12-21
Applicant: OMRON CORPORATION
Inventor： Yasuhiro UJITA , Kota MIYAMOTO
IPC: G05B19/418 , G06Q50/04
CPC classification number: G05B19/41865 , G06Q50/04
Abstract: An information processing device includes a relationship identifier that identifies a first causal relationship based on data of a connection state and an order relationship of machineries that constitute a manufacturing line, the first causal relationship being between the machineries in a process performed on the manufacturing line, a relationship acquirer that acquires a second causal relationship between events related to the machineries in a process performed on the manufacturing line according to user setting, and a relationship synthesizer that generates a third causal relationship obtained by integrating the first causal relationship and the second causal relationship.
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公开(公告)号：US20190286096A1
公开(公告)日：2019-09-19
申请号：US16248793
申请日：2019-01-16
Applicant: OMRON Corporation
Inventor： Shinsuke KAWANOUE , Kota MIYAMOTO
IPC: G05B19/406 , G06N20/00
Abstract: An abnormality detection system, support device, and model generation method for generating a more highly accurate abnormality detection model before an actual operation are provided. A model generation part includes a section for generating feature values from state values provided from a state value storage part; a section for calculating importance levels respectively for the generated feature values based on plural methods, wherein the importance levels indicating a degree that is effective for abnormality detection; and a section for integrating the importance levels calculated based on the plural methods for each of the generated feature values and determining rankings of the importance levels of the generated feature values.
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公开(公告)号：US20190286085A1
公开(公告)日：2019-09-19
申请号：US16248787
申请日：2019-01-16
Applicant: OMRON Corporation
Inventor： Shinsuke KAWANOUE , Kota MIYAMOTO , Reiko HATTORI , Yuki HIROHASHI
Abstract: An abnormality detection system, support device, and model generation method are provided for generating a more highly accurate abnormality detection model before an actual operation. A model generation part of an abnormality detection system includes a section for generating plural feature values from state values provided from a state value storage part, a section for selecting a combination of one or plural feature values among the plural generated feature values, a section for generating an extra learning data set having at least part of a data series of the feature values of the selected combination and a data series of statistically generated virtual feature values, and a section for evaluating a detection accuracy of a model corresponding to the feature values of the selected combination using the extra learning data set.
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Patent Agency Ranking
6.发明公开公开(公告)号：US20240134359A1
公开(公告)日：2024-04-25
申请号：US18279522
申请日：2021-12-21
Applicant: OMRON CORPORATION
Inventor： Yasuhiro UJITA , Kota MIYAMOTO
IPC: G05B19/418 , G06Q50/04
CPC classification number: G05B19/41865 , G06Q50/04
Abstract: An information processing device includes a relationship identifier that identifies a first causal relationship based on data of a connection state and an order relationship of machineries that constitute a manufacturing line, the first causal relationship being between the machineries in a process performed on the manufacturing line, a relationship acquirer that acquires a second causal relationship between events related to the machineries in a process performed on the manufacturing line according to user setting, and a relationship synthesizer that generates a third causal relationship obtained by integrating the first causal relationship and the second causal relationship.
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公开(公告)号：US20230195097A1
公开(公告)日：2023-06-22
申请号：US18071198
申请日：2022-11-29
Applicant: OMRON Corporation
Inventor： Kota MIYAMOTO , Hiroomi YAMADA , Shinsuke KAWANOUE
IPC: G05B23/02
CPC classification number: G05B23/0248 , G05B23/0272
Abstract: An information processing device including a CPU and a memory storing a program. The CPU generates a plurality of cause-and-effect models between variables based on a relationship between a plurality of mechanisms in a production process of a production line, a dependency between a plurality of events associated with the plurality of mechanisms, or a control-based relationship between the plurality of mechanisms, obtains a result of abnormality detection in the production line, calculates a contribution ratio of a variable contributing to abnormality in the result of abnormality detection, and estimates an abnormality causal factor for at least one of the plurality of cause-and-effect models based on the calculated contribution ratio of the variable contributing to abnormality.
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8.发明公开公开(公告)号：US20240095589A1
公开(公告)日：2024-03-21
申请号：US18274599
申请日：2021-12-17
Applicant: OMRON CORPORATION
Inventor： Kento TSUCHIKAWA , Shinsuke KAWANOUE , Kota MIYAMOTO
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: A control device includes a trained model for receiving a feature amount calculated from information collected from the control target to output a score, and a threshold value for determining the score An information processing device displays a feature amount related to the trained model and a score calculated from the feature amount, receives setting of a threshold value for any of the feature amount and the score, calculates a threshold value for the score from the threshold value set for the feature amount, and outputs, as a threshold value to be applied to the trained model, any of the threshold value set for the score and the threshold value for the score calculated from the threshold value set for the feature amount.
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公开(公告)号：US20220414555A1
公开(公告)日：2022-12-29
申请号：US17780732
申请日：2020-11-25
Applicant: OMRON Corporation
Inventor： Kota MIYAMOTO , Shinsuke KAWANOUE
Abstract: A prediction model generator of a prediction system determines as an explanatory variable, one or more status values among status values associated with a training sample to be used for generation of a prediction model, based on an importance with respect to the training sample, determines an interval to be used for prediction by evaluating accuracy of prediction with the determined explanatory variable with an interval included in a search interval being successively varied, and determines a model parameter for defining the prediction model by evaluating plural indicators for the prediction model defined by each model parameter, with the model parameter defining the prediction model being successively varied, under a condition of the determined explanatory variable and the determined interval.
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公开(公告)号：US20190301979A1
公开(公告)日：2019-10-03
申请号：US16275348
申请日：2019-02-14
Applicant: OMRON Corporation
Inventor： Shinsuke KAWANOUE , Kota MIYAMOTO
IPC: G01M99/00
Abstract: There is a need to flexibly set a determination reference suitable for application of predictive maintenance to an actual production site. A first abnormality detection unit includes a calculation unit that calculates a score using a feature quantity that is calculated from a state value related to a monitoring target according to an abnormality detection parameter, and a determination unit that performs a determination using the score calculated by the calculation unit and a first determination reference and a second determination reference included in the abnormality detection parameter, outputs a first determination result when the score matches the first determination reference, and outputs a second determination result when the score matches the second determination reference.
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