MX2020010288A - Sistema y procedimiento para supervisar la salud y predecir fallos de una máquina electromecánica. - Google Patents
Sistema y procedimiento para supervisar la salud y predecir fallos de una máquina electromecánica.Info
- Publication number
- MX2020010288A MX2020010288A MX2020010288A MX2020010288A MX2020010288A MX 2020010288 A MX2020010288 A MX 2020010288A MX 2020010288 A MX2020010288 A MX 2020010288A MX 2020010288 A MX2020010288 A MX 2020010288A MX 2020010288 A MX2020010288 A MX 2020010288A
- Authority
- MX
- Mexico
- Prior art keywords
- electro
- mechanical machine
- operational parameters
- monitoring health
- events
- 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
- G05B23/0218—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
- G05B23/0243—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 model based detection method, e.g. first-principles knowledge model
- G05B23/0254—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 model based detection method, e.g. first-principles knowledge model based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3013—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is an embedded system, i.e. a combination of hardware and software dedicated to perform a certain function in mobile devices, printers, automotive or aircraft systems
-
- 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0751—Error or fault detection not based on redundancy
- G06F11/0754—Error or fault detection not based on redundancy by exceeding limits
- G06F11/076—Error or fault detection not based on redundancy by exceeding limits by exceeding a count or rate limit, e.g. word- or bit count limit
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3058—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3447—Performance evaluation by modeling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- 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
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
- G05B23/0216—Human interface functionality, e.g. monitoring system providing help to the user in the selection of tests or in its configuration
Abstract
Esta divulgación se refiere a un procedimiento y sistema para supervisar la salud y predecir fallos de una máquina electromecánica. En una forma de realización, el procedimiento puede incluir recibir una pluralidad de parámetros operativos con respecto a la máquina electromecánica y determinar un conjunto de características y un conjunto de eventos en función de la pluralidad de parámetros operativos. El procedimiento puede incluir además detectar una o más identificaciones de fallo asociadas a la máquina electromecánica en función de al menos uno de entre la pluralidad de parámetros operativos, el conjunto de características o el conjunto de eventos. El procedimiento puede incluir además determinar al menos uno de entre el tiempo que queda hasta el posible fallo y la vida útil restante de la máquina electromecánica en función de al menos uno de entre la pluralidad de parámetros operativos, el conjunto de características, el conjunto de eventos o la una o más identificaciones de fallo mediante el uso de un modelo de aprendizaje automático híbrido.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
IN201841011615 | 2018-03-28 | ||
PCT/IB2019/052543 WO2019186453A1 (en) | 2018-03-28 | 2019-03-28 | System and method for monitoring health and predicting failure of an electro-mechanical machine |
Publications (1)
Publication Number | Publication Date |
---|---|
MX2020010288A true MX2020010288A (es) | 2021-01-20 |
Family
ID=68060536
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2020010288A MX2020010288A (es) | 2018-03-28 | 2019-03-28 | Sistema y procedimiento para supervisar la salud y predecir fallos de una máquina electromecánica. |
Country Status (7)
Country | Link |
---|---|
US (1) | US11493913B2 (es) |
EP (1) | EP3776215A4 (es) |
JP (1) | JP7460545B2 (es) |
AU (1) | AU2019244842B2 (es) |
MX (1) | MX2020010288A (es) |
SG (1) | SG11202009619SA (es) |
WO (1) | WO2019186453A1 (es) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20200380391A1 (en) * | 2019-05-29 | 2020-12-03 | Caci, Inc. - Federal | Methods and systems for predicting electromechanical device failure |
IT202000014944A1 (it) * | 2020-06-23 | 2021-12-23 | Gd Spa | Procedimento per la manutenzione predittiva di una macchina automatica per la produzione o l’impacchettamento di articoli di consumo |
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US5566092A (en) * | 1993-12-30 | 1996-10-15 | Caterpillar Inc. | Machine fault diagnostics system and method |
US7308322B1 (en) * | 1998-09-29 | 2007-12-11 | Rockwell Automation Technologies, Inc. | Motorized system integrated control and diagnostics using vibration, pressure, temperature, speed, and/or current analysis |
US6240343B1 (en) * | 1998-12-28 | 2001-05-29 | Caterpillar Inc. | Apparatus and method for diagnosing an engine using computer based models in combination with a neural network |
US7539597B2 (en) * | 2001-04-10 | 2009-05-26 | Smartsignal Corporation | Diagnostic systems and methods for predictive condition monitoring |
US6728658B1 (en) * | 2001-05-24 | 2004-04-27 | Simmonds Precision Products, Inc. | Method and apparatus for determining the health of a component using condition indicators |
EP1298511B2 (en) | 2001-09-27 | 2009-11-18 | Reliance Electric Technologies, LLC | Motorized system integrated control and diagnostics using vibration, pressure, temperature, speed, and/or current analysis |
US7254520B2 (en) * | 2002-05-14 | 2007-08-07 | Analysis And Measurement Services Corporation | Testing of wire systems and end devices installed in industrial processes |
US7027953B2 (en) * | 2002-12-30 | 2006-04-11 | Rsl Electronics Ltd. | Method and system for diagnostics and prognostics of a mechanical system |
US7062370B2 (en) * | 2004-03-30 | 2006-06-13 | Honeywell International Inc. | Model-based detection, diagnosis of turbine engine faults |
CN101128830A (zh) * | 2005-02-25 | 2008-02-20 | 比奥根艾迪克Ma公司 | 处理设备监测 |
US7571057B2 (en) * | 2005-09-16 | 2009-08-04 | General Electric Company | System and method for monitoring degradation |
US8103463B2 (en) * | 2006-09-21 | 2012-01-24 | Impact Technologies, Llc | Systems and methods for predicting failure of electronic systems and assessing level of degradation and remaining useful life |
WO2009020861A1 (en) * | 2007-08-03 | 2009-02-12 | Smartsignal Corporation | Fuzzy classification approach to fault pattern matching |
US8301406B2 (en) * | 2008-07-24 | 2012-10-30 | University Of Cincinnati | Methods for prognosing mechanical systems |
US8332337B2 (en) * | 2008-10-17 | 2012-12-11 | Lockheed Martin Corporation | Condition-based monitoring system for machinery and associated methods |
SG186412A1 (en) * | 2010-06-30 | 2013-01-30 | Prad Res & Dev Ltd | System, method, and apparatus for oilfield equipment prognostics and health management |
US8620853B2 (en) * | 2011-07-19 | 2013-12-31 | Smartsignal Corporation | Monitoring method using kernel regression modeling with pattern sequences |
US8326577B2 (en) * | 2011-09-20 | 2012-12-04 | General Electric Company | System and method for predicting wind turbine component failures |
US20130268229A1 (en) * | 2012-04-04 | 2013-10-10 | Ridgetop Group, Inc. | Method for finding fault-to-failure signatures using ordered health states |
US8886574B2 (en) * | 2012-06-12 | 2014-11-11 | Siemens Aktiengesellschaft | Generalized pattern recognition for fault diagnosis in machine condition monitoring |
CA2833768A1 (en) * | 2012-11-15 | 2014-05-15 | Power Analytics Corporation | Systems and methods for model-based solar power management |
AU2015247437B2 (en) * | 2014-04-17 | 2018-12-20 | Lockheed Martin Corporation | Prognostics and health management system |
WO2016195092A1 (ja) * | 2015-06-05 | 2016-12-08 | 株式会社日立製作所 | 異常検知装置 |
CA3021907A1 (en) | 2016-05-16 | 2017-11-23 | Weir Minerals Australia Ltd | Machine monitoring |
JP6496274B2 (ja) | 2016-05-27 | 2019-04-03 | ファナック株式会社 | 寿命故障条件を学習する機械学習装置,故障予知装置,機械システムおよび機械学習方法 |
JP6603192B2 (ja) | 2016-10-25 | 2019-11-06 | ファナック株式会社 | 学習モデル構築装置、故障予測システム、学習モデル構築方法及び学習モデル構築プログラム |
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JP2019008675A (ja) | 2017-06-27 | 2019-01-17 | ファナック株式会社 | 故障予測装置及び機械学習装置 |
US10124893B1 (en) * | 2017-09-18 | 2018-11-13 | Amazon Technologies, Inc. | Prognostics and health management system |
US11188065B2 (en) | 2017-09-23 | 2021-11-30 | Nanoprecise Sci Corp. | System and method for automated fault diagnosis and prognosis for rotating equipment |
US11824832B2 (en) * | 2020-08-18 | 2023-11-21 | Citrix Systems, Inc. | Prevention of malicious use of endpoint devices |
-
2019
- 2019-03-28 WO PCT/IB2019/052543 patent/WO2019186453A1/en unknown
- 2019-03-28 EP EP19775019.3A patent/EP3776215A4/en active Pending
- 2019-03-28 JP JP2020560395A patent/JP7460545B2/ja active Active
- 2019-03-28 SG SG11202009619SA patent/SG11202009619SA/en unknown
- 2019-03-28 AU AU2019244842A patent/AU2019244842B2/en active Active
- 2019-03-28 MX MX2020010288A patent/MX2020010288A/es unknown
- 2019-03-28 US US17/042,664 patent/US11493913B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
AU2019244842B2 (en) | 2024-03-07 |
US20210124342A1 (en) | 2021-04-29 |
EP3776215A1 (en) | 2021-02-17 |
EP3776215A4 (en) | 2022-04-06 |
AU2019244842A1 (en) | 2020-11-26 |
JP2021521548A (ja) | 2021-08-26 |
WO2019186453A1 (en) | 2019-10-03 |
JP7460545B2 (ja) | 2024-04-02 |
SG11202009619SA (en) | 2020-10-29 |
US11493913B2 (en) | 2022-11-08 |
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MX2020010288A (es) | Sistema y procedimiento para supervisar la salud y predecir fallos de una máquina electromecánica. |