MX2021008371A - Herramienta de mantenimiento predictivo basada en modelo digital. - Google Patents
Herramienta de mantenimiento predictivo basada en modelo digital.Info
- Publication number
- MX2021008371A MX2021008371A MX2021008371A MX2021008371A MX2021008371A MX 2021008371 A MX2021008371 A MX 2021008371A MX 2021008371 A MX2021008371 A MX 2021008371A MX 2021008371 A MX2021008371 A MX 2021008371A MX 2021008371 A MX2021008371 A MX 2021008371A
- Authority
- MX
- Mexico
- Prior art keywords
- machine
- predictive maintenance
- digital model
- maintenance tool
- tool based
- Prior art date
Links
Classifications
-
- 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
- G05B23/0283—Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
-
- 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
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Un método de mantenimiento predictivo ejemplar comprende el paso de generar una firma de defecto para una máquina, en base a simulaciones de la máquina, el paso de comparar la firma de defecto con lecturas de la máquina en operación, el paso de determinar si se producirá un defecto en la máquina a medida que continúa en operación y un paso de control de la máquina para que opere en modo normal o evite el defecto.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201962790182P | 2019-01-09 | 2019-01-09 | |
PCT/US2020/012719 WO2020146486A1 (en) | 2019-01-09 | 2020-01-08 | Predictive maintenance tool based on digital model |
Publications (1)
Publication Number | Publication Date |
---|---|
MX2021008371A true MX2021008371A (es) | 2021-10-26 |
Family
ID=69500833
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2021008371A MX2021008371A (es) | 2019-01-09 | 2020-01-08 | Herramienta de mantenimiento predictivo basada en modelo digital. |
Country Status (4)
Country | Link |
---|---|
US (1) | US20220121195A1 (es) |
EP (1) | EP3908894A1 (es) |
MX (1) | MX2021008371A (es) |
WO (1) | WO2020146486A1 (es) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114502471A (zh) | 2019-07-30 | 2022-05-13 | 安海斯-布希英博有限公司 | 物品拾取和处理设备 |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7162312B2 (en) * | 2003-09-24 | 2007-01-09 | Siemens Aktiengesellschaft | Method, system and device for predictive error recognition in a plant |
US8660875B2 (en) * | 2009-11-02 | 2014-02-25 | Applied Materials, Inc. | Automated corrective and predictive maintenance system |
FR2970358B1 (fr) * | 2011-01-06 | 2019-04-12 | Airbus Helicopters | Pronostic de duree avant maintenance par fusion entre modelisation et simulation, pour equipements electroniques embarques dans un aeronef |
US8694291B2 (en) * | 2012-01-19 | 2014-04-08 | Verdigris Technologies, Inc. | System and method of waveform analysis to identify and characterize power-consuming devices on electrical circuits |
ES2574512T3 (es) * | 2013-03-15 | 2016-06-20 | Kaeser Kompressoren Se | Entrada de diagrama de tuberías e instrumentación para un procedimiento para el control y/o supervisión de una instalación de compresores |
US20160071004A1 (en) * | 2015-10-23 | 2016-03-10 | Sarkhoon and Qeshm LLC | Method and system for predictive maintenance of control valves |
CN113196311A (zh) * | 2018-11-02 | 2021-07-30 | 斯凯孚人工智能有限公司 | 用于识别和预测机器的异常感测行为模式的***和方法 |
-
2020
- 2020-01-08 WO PCT/US2020/012719 patent/WO2020146486A1/en unknown
- 2020-01-08 MX MX2021008371A patent/MX2021008371A/es unknown
- 2020-01-08 US US17/421,936 patent/US20220121195A1/en not_active Abandoned
- 2020-01-08 EP EP20704121.1A patent/EP3908894A1/en active Pending
Also Published As
Publication number | Publication date |
---|---|
WO2020146486A1 (en) | 2020-07-16 |
EP3908894A1 (en) | 2021-11-17 |
US20220121195A1 (en) | 2022-04-21 |
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