公开(公告)号：US20190265673A1

公开(公告)日：2019-08-29

申请号：US16285430

申请日：2019-02-26

Applicant: FANUC CORPORATION

Inventor： Kazuhiro SATOU ,  Yoshitaka KUBO

IPC: G05B19/406

Abstract: An abnormality factor identification apparatus includes a sensor signal obtaining unit that obtains sensor signals associated with the physical state of a machine, an operating state determination unit that determines operating states of the machine based on information obtained from the machine, an abnormality level calculation unit that calculates the abnormality levels of the sensor signals for each operating state of the machine determined by the operating state determination unit, and a factor identification unit that determines a factor in an abnormality in the machine from historical data being a series of the abnormality levels for each operating state.

公开(公告)号：US20170117988A1

公开(公告)日：2017-04-27

申请号：US15298394

申请日：2016-10-20

Applicant: FANUC CORPORATION

Inventor： Kazuhiro SATOU

IPC: H04L1/00 ,  H03M13/29 ,  H03M13/13

CPC classification number: H04L1/0076 ,  H03M13/13 ,  H03M13/2906 ,  H03M13/611 ,  H03M13/6508 ,  H03M13/6516 ,  H04L1/0041 ,  H04L1/0045 ,  H04L1/0057 ,  H04L1/0058

Abstract: A plurality of units have a transmitter and a receiver. The transmitter puts the unit's own data string into a coding data array using first array information, and calculates an error-correcting code based on the data array in which 0 is put except for the data string. The receiver decodes a data array in which a data string is put into the coding data array based on second array information, using an error-correcting code. The transmitter adds the unit's own data string to a data string, puts the unit's own data string into the coding data array using the first array information on the data string, calculates an error-correcting code for the data array in which 0 is put except for the data string, and determines an error-correcting code of a transmission packet by addition of an error-correcting code of a received packet and the calculated error-correcting code.

公开(公告)号：US20240004379A1

公开(公告)日：2024-01-04

申请号：US18254602

申请日：2021-12-22

Applicant: FANUC CORPORATION

Inventor： Kazuhiro SATOU ,  Kazunori IIJIMA ,  Motoki SATO

IPC: G05B23/02

CPC classification number: G05B23/0275 ,  G05B23/0221

Abstract: An anomaly classification device determines whether a detected anomaly is a known anomaly or an unknown anomaly and presents to the user how to manage the detected anomaly not only for a case of a known anomaly but also for a case of an unknown anomaly. This anomaly classification device acquires, as anomaly data, data related to a physical quantity detected when an anomaly occurred in an industrial machine, creates a model used for determining whether or not the anomaly data is anomaly data that is based on a known anomaly cause and a model used for classifying which anomaly cause the anomaly data belongs to, and uses the created models to determine whether or not the anomaly data is based on a known anomaly cause and classify which anomaly cause the anomaly data is based on.

公开(公告)号：US20180137691A1

公开(公告)日：2018-05-17

申请号：US15801547

申请日：2017-11-02

Applicant: FANUC CORPORATION

Inventor： Kazuhiro SATOU

IPC: G07C3/14 ,  G06F17/40 ,  G06F15/18 ,  G06F13/38

Abstract: In a case of sending characteristic data representing a characteristic of measurement data, rather than the measurement data itself from a sensor, characteristic data suited to the connected sensor is sent. A sensor interface device (100) which is connected in a communication path between a measurement means (200) and a higher-order device (300), includes: a data acquisition means (110) for acquiring measurement data, which is data based on a physical quantity measured by the measurement means (200); a storage means (1.20) for storing the measurement data thus acquired; a learning means (130) for performing machine learning with a measurement data group stored by the storage means (120) as an input, thereby performing extraction of characteristic data, which is data representing a characteristic of the measurement data group; and a communication means (140) for sending the characteristic data extracted by the learning means (130) to the higher-order device (300).

公开(公告)号：US20210103267A1

公开(公告)日：2021-04-08

申请号：US17029038

申请日：2020-09-23

Applicant: FANUC CORPORATION

Inventor： Liancheng HU ,  Kazuhiro SATOU ,  Hiroyasu ASAOKA

IPC: G05B19/4063 ,  G06N20/00

Abstract: A diagnostic device is a device for estimating the tension of a belt of an industrial machine for transmitting power, and is provided with a control unit configured to control a diagnostic operation in which the belt is driven, a data acquisition unit configured to acquire at least feedback data at the time of the diagnostic operation, a preprocessing unit configured to analyze frequency-gain characteristics of the feedback data and create, as input data, a range including a resonant frequency and an anti-resonant frequency in the characteristics, and a machine learning device configured to perform processing related to machine learning, based on the data created by the preprocessing unit. The diagnostic device supports inference or abnormality detection of the value of the belt tension.

公开(公告)号：US20200026435A1

公开(公告)日：2020-01-23

申请号：US16504333

申请日：2019-07-08

Applicant: FANUC Corporation

Inventor： Kazuhiro SATOU ,  Kazunori IIJIMA

IPC: G06F3/06 ,  G06F3/14

Abstract: The data management device capable of calculating an evaluation index based on the sensor data includes: a sensor data acquisition unit that acquires the sensor data from one or more sensors installed in an industrial machine; an evaluation index calculation unit that calculates the evaluation index with use of the sensor data; a sensor data storage unit that saves the sensor data; and a sensor data deletion unit that deletes the sensor data when a total volume of the sensor data in the sensor data storage unit exceeds an upper limit. The sensor data deletion unit determines saving priority of the sensor data based on a degree of change in the evaluation index and deletes the sensor data in accordance with the saving priority.

公开(公告)号：US20180231956A1

公开(公告)日：2018-08-16

申请号：US15883459

申请日：2018-01-30

Applicant: FANUC CORPORATION

Inventor： Kazuhiro SATOU ,  Kazunori IIJIMA ,  Yohei KAMIYA

IPC: G05B19/4065

Abstract: Upon performing diagnosis of a machine tool, etc., data suited to diagnosis is acquired while also reducing the burden on the user. A diagnostic data acquisition system that acquires diagnostic data for diagnosing a machine tool includes: a control unit that controls driving of a mobile part of the machine tool based on control data; a timing generation unit that generates an acquisition timing for the diagnostic data based on the control data; and a diagnostic data acquisition unit that acquires data which varies accompanying driving of the mobile part according to control by the control unit, as the diagnostic data.

公开(公告)号：US20230251645A1

公开(公告)日：2023-08-10

申请号：US18004301

申请日：2021-07-19

Applicant: FANUC CORPORATION

Inventor： Liancheng HU ,  Kazuhiro SATOU ,  Kazunori IIJIMA

IPC: G05B23/02 ,  B23Q17/00

CPC classification number: G05B23/0267 ,  B23Q17/00 ,  G05B23/024

Abstract: This abnormality detection device: causes a motor that drives a drive unit at a plurality of rotational speeds to perform a detection operation based on a command for diagnosing the state of the drive unit, acquires, as information indicating the operating state of the drive unit, a control command for the motor driving the drive unit or a feedback signal from the motor driving the drive unit, during the detection operation; analyzes the control instruction for the motor driving the drive unit or the feedback signal from the motor; determines the state of the drive unit based on the result of the analysis, and notifies, based on the determination result, that the state of the drive unit is different from that in normal time.

公开(公告)号：US20230038415A1

公开(公告)日：2023-02-09

申请号：US17760098

申请日：2021-02-05

Applicant: FANUC CORPORATION

Inventor： Kazuhiro SATOU ,  Kazunori IIJIMA

IPC: G05B23/02 ,  G05B19/4063

Abstract: A diagnosis device stores a model used for diagnosing the condition of an industrial machine in a storage unit, acquires data related to the condition of the industrial machine, and based on the acquired data, determines the condition of the industrial machine by using the model stored in the storage unit. Then, in response to detecting that a component of the industrial machine has been replaced based on the acquired data and the data related to the determined condition of the industrial machine, the diagnosis device adapts the model stored in the storage unit to the condition of the industrial machine whose component has been replaced.

公开(公告)号：US20190278251A1

公开(公告)日：2019-09-12

申请号：US16286593

申请日：2019-02-27

Applicant: FANUC Corporation

Inventor： Chao ZHI ,  Kazuhiro SATOU ,  Keita HADA ,  Takeshi SUMI ,  Ryutaro ISHIKAWA

IPC: G05B19/4061 ,  G05B19/402 ,  G06N20/00

Abstract: A collision position estimation device allowing extraction of data related to a torque of a section related to collision of a cushion member includes a machine learning device. The machine learning device includes a state observation unit for observing axis movement data indicating information related to movement of the axis and motor torque data indicating data related to torque of a motor driving the axis as a state variable representing a current state of an environment, a label data acquisition unit for acquiring collision position data indicating the position of the axis during collision of the cushion member as label data, and a learning unit for associating and learning the information related to movement of the axis and the data related to the torque of the motor driving the axis with the position of the axis during collision of the cushion member using the state variable and the label data.