MX2022003138A - Dispositivo de determinación de anomalías y método de determinación de anomalías. - Google Patents
Dispositivo de determinación de anomalías y método de determinación de anomalías.Info
- Publication number
- MX2022003138A MX2022003138A MX2022003138A MX2022003138A MX2022003138A MX 2022003138 A MX2022003138 A MX 2022003138A MX 2022003138 A MX2022003138 A MX 2022003138A MX 2022003138 A MX2022003138 A MX 2022003138A MX 2022003138 A MX2022003138 A MX 2022003138A
- Authority
- MX
- Mexico
- Prior art keywords
- anomaly
- anomaly determination
- determination
- determination method
- prescribed
- Prior art date
Links
Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
- G05B23/0227—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
- G05B23/0235—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions based on a comparison with predetermined threshold or range, e.g. "classical methods", carried out during normal operation; threshold adaptation or choice; when or how to compare with the threshold
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
- G05B23/024—Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32368—Quality control
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/45—Nc applications
- G05B2219/45135—Welding
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Mathematical Physics (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
Un dispositivo de determinación de anomalías y un método de determinación de anomalías determinan una anomalía de un dispositivo con base en los datos de estado del dispositivo, usando un primer modelo de determinación configurado para determinar si se ha producido una anomalía predeterminada en el dispositivo, y un segundo modelo de determinación configurado para clasificar el estado del dispositivo, y emitir la anomalía determinada del dispositivo como una anomalía desconocida en un caso en el que la anomalía del dispositivo no sea la anomalía predeterminada.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/JP2019/036383 WO2021053717A1 (ja) | 2019-09-17 | 2019-09-17 | 異常判定装置及び異常判定方法 |
Publications (1)
Publication Number | Publication Date |
---|---|
MX2022003138A true MX2022003138A (es) | 2022-11-09 |
Family
ID=74883052
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2022003138A MX2022003138A (es) | 2019-09-17 | 2019-09-17 | Dispositivo de determinación de anomalías y método de determinación de anomalías. |
Country Status (6)
Country | Link |
---|---|
US (1) | US11604458B2 (es) |
EP (1) | EP4033219B1 (es) |
JP (1) | JP7396361B2 (es) |
CN (1) | CN114391093B (es) |
MX (1) | MX2022003138A (es) |
WO (1) | WO2021053717A1 (es) |
Family Cites Families (32)
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JP2837002B2 (ja) * | 1991-10-22 | 1998-12-14 | 三菱重工業株式会社 | 溶接状況監視装置 |
US6216066B1 (en) * | 1998-07-01 | 2001-04-10 | General Electric Company | System and method for generating alerts through multi-variate data assessment |
JP4237610B2 (ja) * | 2003-12-19 | 2009-03-11 | 株式会社東芝 | 保守支援方法及びプログラム |
JP2007257366A (ja) * | 2006-03-23 | 2007-10-04 | Kagawa Univ | 診断装置及び診断方法 |
JP4605132B2 (ja) * | 2006-09-29 | 2011-01-05 | パナソニック電工株式会社 | 異常検出装置、異常検出方法 |
JP5058947B2 (ja) * | 2008-11-10 | 2012-10-24 | 株式会社日立製作所 | 端末、プログラム及び在庫管理方法 |
CN102870057B (zh) * | 2010-04-08 | 2015-01-28 | 株式会社日立制作所 | 机械设备的诊断装置、诊断方法及诊断程序 |
WO2012009804A1 (en) * | 2010-07-23 | 2012-01-26 | Corporation De L'ecole Polytechnique | Tool and method for fault detection of devices by condition based maintenance |
US9286354B2 (en) * | 2011-08-15 | 2016-03-15 | Software Ag | Systems and/or methods for forecasting future behavior of event streams in complex event processing (CEP) environments |
US10228278B2 (en) | 2013-05-01 | 2019-03-12 | National Ict Australia Limited | Determining a health condition of a structure |
US9887937B2 (en) * | 2014-07-15 | 2018-02-06 | Cohesity, Inc. | Distributed fair allocation of shared resources to constituents of a cluster |
CN104239694B (zh) * | 2014-08-28 | 2016-11-23 | 北京交通大学 | 一种城轨列车转向架的故障预测与视情维修方法 |
US10509695B1 (en) * | 2015-03-30 | 2019-12-17 | ThetaRay Ltd. | System and method for anomaly detection in dynamically evolving data using low rank matrix decomposition |
US10410135B2 (en) * | 2015-05-21 | 2019-09-10 | Software Ag Usa, Inc. | Systems and/or methods for dynamic anomaly detection in machine sensor data |
US10296832B1 (en) * | 2015-12-05 | 2019-05-21 | ThetaRay Ltd. | System and method for detecting an undesirable event |
JP6140331B1 (ja) * | 2016-04-08 | 2017-05-31 | ファナック株式会社 | 主軸または主軸を駆動するモータの故障予知を学習する機械学習装置および機械学習方法、並びに、機械学習装置を備えた故障予知装置および故障予知システム |
US10489716B2 (en) * | 2016-07-08 | 2019-11-26 | Intellergy, Inc. | Method for performing automated analysis of sensor data time series |
US10846308B2 (en) * | 2016-07-27 | 2020-11-24 | Anomalee Inc. | Prioritized detection and classification of clusters of anomalous samples on high-dimensional continuous and mixed discrete/continuous feature spaces |
WO2018037541A1 (ja) * | 2016-08-25 | 2018-03-01 | 株式会社日立製作所 | 設備機器の異常診断装置及び異常診断方法 |
US20180096261A1 (en) * | 2016-10-01 | 2018-04-05 | Intel Corporation | Unsupervised machine learning ensemble for anomaly detection |
US10372120B2 (en) | 2016-10-06 | 2019-08-06 | General Electric Company | Multi-layer anomaly detection framework |
JP6809250B2 (ja) | 2017-01-23 | 2021-01-06 | 株式会社リコー | 情報処理装置、情報処理方法およびプログラム |
JP6526081B2 (ja) * | 2017-02-28 | 2019-06-05 | ファナック株式会社 | 在庫管理および予防保全を行う機能を有する在庫管理システム |
KR101916926B1 (ko) * | 2017-03-10 | 2018-11-12 | 광주과학기술원 | 비정상 정보 검출 기술을 적용한 스마트 미터 시스템 및 검출 방법 |
US10969775B2 (en) * | 2017-06-23 | 2021-04-06 | Johnson Controls Technology Company | Predictive diagnostics system with fault detector for preventative maintenance of connected equipment |
EP3686840A4 (en) | 2017-09-21 | 2020-10-28 | Adacotech Incorporated | ANOMALY DETECTION APPARATUS AND ANOMALY DETECTION METHOD |
JP7010641B2 (ja) * | 2017-09-27 | 2022-01-26 | パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカ | 異常診断方法および異常診断装置 |
JP7006282B2 (ja) * | 2018-01-12 | 2022-01-24 | 株式会社明電舎 | 設備異常診断装置 |
EP3514555B1 (en) * | 2018-01-22 | 2020-07-22 | Siemens Aktiengesellschaft | Apparatus for monitoring an actuator system, method for providing an apparatus for monitoring an actuator system and method for monitoring an actuator system |
CN110108486B (zh) * | 2018-01-31 | 2022-07-05 | 阿里巴巴集团控股有限公司 | 轴承故障预测方法、设备及系统 |
CN109115501A (zh) * | 2018-07-12 | 2019-01-01 | 哈尔滨工业大学(威海) | 一种基于cnn与svm的民航发动机气路故障诊断方法 |
JP6712630B2 (ja) * | 2018-12-12 | 2020-06-24 | エヌ・ティ・ティ・コミュニケーションズ株式会社 | 異常監視装置、異常監視方法および異常監視プログラム |
-
2019
- 2019-09-17 EP EP19945430.7A patent/EP4033219B1/en active Active
- 2019-09-17 JP JP2021546079A patent/JP7396361B2/ja active Active
- 2019-09-17 MX MX2022003138A patent/MX2022003138A/es unknown
- 2019-09-17 WO PCT/JP2019/036383 patent/WO2021053717A1/ja unknown
- 2019-09-17 US US17/761,505 patent/US11604458B2/en active Active
- 2019-09-17 CN CN201980100264.5A patent/CN114391093B/zh active Active
Also Published As
Publication number | Publication date |
---|---|
JP7396361B2 (ja) | 2023-12-12 |
EP4033219A1 (en) | 2022-07-27 |
CN114391093A (zh) | 2022-04-22 |
CN114391093B (zh) | 2023-10-24 |
JPWO2021053717A1 (es) | 2021-03-25 |
EP4033219A4 (en) | 2022-10-05 |
US11604458B2 (en) | 2023-03-14 |
EP4033219B1 (en) | 2023-10-11 |
US20220350317A1 (en) | 2022-11-03 |
WO2021053717A1 (ja) | 2021-03-25 |
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