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公开(公告)号：US20210055706A1
公开(公告)日：2021-02-25
申请号：US16954232
申请日：2018-02-23
Applicant: Hitachi, Ltd.
Inventor： Tomoaki HIRUTA , Hideaki SUZUKI , Takayuki UCHIDA , Akihiro KOMASU
IPC: G05B19/042
Abstract: A condition monitoring system which collects operation data from a machine and monitors a condition of the machine includes: a storage unit that stores information indicating components of a first machine for which a model for a sensor data analysis has been created and components of a second machine for which the model is newly created, information indicating a correspondence relationship between the components of the first machine and the components of the second machine, and information relating to the model; a model creation unit that creates model candidates of the second machine from the model similar to the second machine by using the information stored in the storage unit, and creating information relating to a model candidate selected via an input unit out of the model candidates as the model of the second machine; and a display unit that displays the model candidates.
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公开(公告)号：US20210397977A1
公开(公告)日：2021-12-23
申请号：US17171001
申请日：2021-02-09
Applicant: Hitachi, Ltd.
Inventor： Yoshinari HORI , Toshiaki KONO , Takayuki UCHIDA , Yasuharu NAMBA
Abstract: The knowledge model construction system includes: a CAD data which stores a design information including information on configurations of the parts; an input unit which inputs an element knowledge model which includes a plurality of combinations, each of the combinations being a combination of an element knowledge and an establishment condition thereof, the element knowledge representing a causal relationship with respect to an asset; a knowledge model construction unit which extracts a combination of an element knowledge applicable to an object asset and an establishment condition thereof by comparing the CAD data of the object asset with the establishment conditions of the element knowledge model; and an object asset knowledge model which records the extracted combination of the element knowledge and the establishment condition thereof as a knowledge model. Thus, the knowledge model construction system is able to construct a knowledge model of a new asset with less man-hours.
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3.发明申请公开(公告)号：US20190332462A1
公开(公告)日：2019-10-31
申请号：US16473680
申请日：2017-12-08
Applicant: HITACHI, LTD.
Inventor： Toshiaki KONO , Takayuki UCHIDA , Hideaki SUZUKI
IPC: G06F11/07 , G07C1/10 , G06F16/9035
Abstract: A maintenance management system includes: a failure information DB that stores at least a failure mode for each of diagnosis target assets; an automatic diagnosis definition DB that stores diagnostic criteria for diagnosing failure modes of the diagnosis target assets; an automatic diagnosis unit that detects or predicts occurrence of a failure mode of a diagnosis target asset, based on a measurement value representing a state of the diagnosis target asset measured by a sensor and the diagnostic criteria; a maintenance method DB that stores in advance a maintenance method corresponding to a failure mode; an automatic diagnosis result log storage unit that records at least a diagnosis result by the automatic diagnosis unit and information regarding an alarm issued; and a maintenance work log storage unit that records at least a maintenance work content performed on the diagnosis target asset and includes a task performance analysis unit.
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公开(公告)号：US20160209838A1
公开(公告)日：2016-07-21
申请号：US14914381
申请日：2013-09-13
Applicant: Hitachi, Ltd.
Inventor： Takayuki UCHIDA , Hideaki SUZUKI , Junsuke FUJIWARA , Tomoaki HIRUTA , Munetoshi UNUMA
IPC: G05B23/02
CPC classification number: G05B23/0283 , E02F9/267 , G05B23/0264 , G05B23/0297 , G05B2219/2616 , G07C5/008 , G07C5/085
Abstract: In industrial machine abnormality diagnosis, if the machine is diagnosed to have abnormality, then sensor data from the machine needs to be sent to a management center for causal analysis. However, since machines operated at a remote site cannot always communicate with a management center, it has been found that, in some cases, sensor data that has failed to be sent from a machine remains in the memory of the machine, resulting in lack of available memory capacity. In view of this, the present invention determines beforehand whether the diagnosed machine will run out of available memory capacity before the completion of sending the amount of sensor data required for causal analysis for the machine, and instructs a maintenance person to recover memory. This determination as to whether the machine will run out of available memory capacity before the completion of sending the amount of sensor data required for the causal analysis for the machine, is made as follows: (1) first, the machine predicts the run-out date on which the machine will run out of memory capacity for storing sensor data generated in the machine, and sends a notification of the predicted run-out date to the management center for the machine; and (2) next, from the amount of sensor data required for the causal analysis and the reception rate of sensor data, the management center calculates the number of days required to retrieve the necessary data for the causal analysis and determines whether the management center can retrieve the data by the predicted run-out date.
Abstract translation: 在工业机器异常诊断中，如果机器被诊断为异常，则需要将来自机器的传感器数据发送到管理中心进行因果分析。 然而，由于在远程站点运行的机器不能总是与管理中心通信，所以已经发现，在某些情况下，未能从机器发送的传感器数据保留在机器的存储器中，导致缺少 可用内存容量。 鉴于此，本发明在完成发送机器的因果分析所需的传感器数据的量完成之前，事先确定诊断出的机器是否将耗尽可用存储容量，并指示维护人员恢复存储器。 在完成发送机器的因果分析所需的传感器数据量的完成之前，关于机器是否将耗尽可用存储容量的确定如下：（1）首先，机器预测耗尽 机器将用尽存储机器中生成的传感器数据的存储器容量的日期，并将预测的耗尽日期的通知发送到机器的管理中心; 和（2）接下来，根据因果分析所需的传感器数据量和传感器数据的接收率，管理中心计算检索因果分析所需数据所需的天数，并确定管理中心是否可以 通过预测的使用日期检索数据。
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公开(公告)号：US20180234746A1
公开(公告)日：2018-08-16
申请号：US15875299
申请日：2018-01-19
Applicant: Hitachi, Ltd.
Inventor： Takayuki UCHIDA , Toshiaki KONO , Hideaki SUZUKI , Takahiro FUJISHIRO
CPC classification number: H04Q9/00 , G08B21/182 , G08B21/187 , G08B29/02 , H04Q2209/823
Abstract: Sensor data immediately after the issuance of an alarm does not exhibit the peculiarity of a failure, with the result that the wrong component is sometimes erroneously identified as the failure component. A failure component identification unit provided in a maintenance device collects an alarm issued when a measurement value exceeds a range of a measurement threshold value in an apparatus being a maintenance target. The failure component identification unit identifies the failure component on the basis of the measurement value exhibiting a condition indicating a peculiarity of the failure. An identification reliability determination unit determines the reliability of the component identification result obtained by a failure component identification unit. When it is determined that the reliability of the identification result is low, a presentation unit presents measures to enhance the reliability of the identification result until the measurement value exhibits a condition indicating the peculiarity of the failure.
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Patent Agency Ranking
6.发明申请公开(公告)号：US20170261403A1
公开(公告)日：2017-09-14
申请号：US15509573
申请日：2015-09-01
Applicant: HITACHI, LTD.
Inventor： Tomoaki HIRUTA , Takayuki UCHIDA , Shigetoshi SAKIMURA , Takahiro FUJISHIRO
IPC: G01M15/14
CPC classification number: G01M15/14 , G05B23/0216
Abstract: An abnormality detection procedure development apparatus (10) includes: a parameter setting unit (14) that sets a parameter verification range, with respect to the parameter relating to abnormality determination which is included in an abnormality detection procedure for a mechanical apparatus; an evaluation unit (15) that causes the value of the parameter to be changed in the parameter verification range, and, with respect to each of the values of the parameter that are changed, evaluates abnormality detection performance of the abnormality detection procedure; and a display unit (19) on which a performance evaluation table that is a listing of abnormality detection performances which are evaluated by the evaluation unit (15) is displayed with respect to each of the values of the parameter.
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公开(公告)号：US20160239552A1
公开(公告)日：2016-08-18
申请号：US15025939
申请日：2014-10-29
Applicant: HITACHI, LTD.
Inventor： Takayuki UCHIDA , Tomoaki HIRUTA , Shigetoshi SAKIMURA , Shinya YUDA , Takahiro FUJISHIRO
CPC classification number: G06F16/248 , G06F11/3013 , G06F11/3409 , G06F16/00 , G06F16/2246 , G06F16/285 , G06T11/206 , G08B21/187
Abstract: Times in association with a portion of data designated by an input device from a graph indicating distribution of data of a certain item are divided into plural groups based on the respective time intervals, data relating to desired items included in time ranges respectively regulated by the plural groups are searched from a storage device, and time waveforms of data relating to the desired items are created for each of the groups based on the search results. With this configuration, around the time of generating a portion of data included in a set of data relating to a certain item, aspects of temporal changes of data of a certain item or other items can be easily recognized.
Abstract translation: 与来自指示特定项目的数据分布的图形由输入装置指定的数据相关联的时间根据各自的时间间隔被分成多个组，与由多个分别调节的时间范围中包括的期望项目有关的数据 从存储装置搜索组，并且基于搜索结果为每个组创建与期望项目有关的数据的时间波形。 利用这种配置，在生成与某个项目相关的一组数据中包括的数据的一部分的时间内，可以容易地识别某个项目或其他项目的数据的时间变化的方面。
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公开(公告)号：US20220163246A1
公开(公告)日：2022-05-26
申请号：US17485987
申请日：2021-09-27
Applicant: Hitachi, Ltd.
Inventor： Takayuki UCHIDA , Kazuki HORIWAKI , Shuntaro HITOMI , Yasuharu NAMBA
IPC: F25B49/00
Abstract: There is provided a maintenance recommendation system that creates an estimation model of failure modes of a new model of a device only from an occurrence probability of a failure mode. Based on an estimation model for an old model, the occurrence probability of a failure mode where a component is changed from the old model is updated only on a spot of a component change, and this creates an estimation model of failure modes intended for a new model newly commercially available. Thus, the attachment of the inspection result and the failure mode of a faulty facility is learned, an estimation model of failure modes is created to support facility maintenance services for a new model newly commercially available having a small amount of data of inspection results in failure daily reports for difficulty in learning.
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公开(公告)号：US20200341828A1
公开(公告)日：2020-10-29
申请号：US16802617
申请日：2020-02-27
Applicant: Hitachi, Ltd.
Inventor： Takayuki UCHIDA , Tomoaki HIRUTA , Toshiaki KONO , Yasuharu NAMBA
IPC: G06F11/00 , G06F16/901 , G06F17/18
Abstract: The invention provides a maintenance recommendation system in which an inspection item is presented timely in the halfway of an inspection, accuracy of failure mode identification is improved, a failure mode is identified at an early stage, meanwhile, a time required for investigating a content of the failure is reduced, and a time from device failure to reset is shortened. The maintenance recommendation system includes: a primary storage unit that stores an input inspection result; a failure mode probability calculation unit that is configured to calculate a probability of a failure mode based on the inspection result stored in the primary storage unit; an inspection item search unit that is configured to extract an inspection item with the minimum inspection score from uninspected inspection items; and a main routine operation unit that is configured to narrow down a failure mode candidate and an inspection item candidate from all inspection items.
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公开(公告)号：US20200081756A1
公开(公告)日：2020-03-12
申请号：US16293292
申请日：2019-03-05
Applicant: Hitachi, Ltd.
Inventor： Takayuki UCHIDA , Tomoaki HIRUTA , Toshiaki KONO , Yasuharu NAMBA
Abstract: Provided is a failure mode estimation system for estimating a failure mode of a device based on an inputted state of the device. The failure mode estimation system includes: a failure mode estimation unit that estimates a failure mode of the device on the basis of the inputted state of the device and a table in which correspondence between a failure mode of the device and an estimation standard is registered; and an update unit that updates the estimation standard registered in the table when a failure mode estimated by the failure mode estimation unit is incorrect.
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