AR091412A1 - Dispositivo y metodo para diagnosticar situaciones anomalas en procesos - Google Patents

Dispositivo y metodo para diagnosticar situaciones anomalas en procesos

Info

Publication number
AR091412A1
AR091412A1 ARP130102056A AR091412A1 AR 091412 A1 AR091412 A1 AR 091412A1 AR P130102056 A ARP130102056 A AR P130102056A AR 091412 A1 AR091412 A1 AR 091412A1
Authority
AR
Argentina
Prior art keywords
diagnosing
processes
situations
change
anomal
Prior art date
Application number
Other languages
English (en)
Inventor
Ignacio Horowitz Gabriel
Celeste Cassanello Miryan
Maestri Mauricio
Original Assignee
Ypf Sa
Consejo Nac Invest Cient Tec
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ypf Sa, Consejo Nac Invest Cient Tec filed Critical Ypf Sa
Priority to ARP130102056 priority Critical patent/AR091412A1/es
Priority to US14/302,143 priority patent/US20140365179A1/en
Publication of AR091412A1 publication Critical patent/AR091412A1/es

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

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Physics (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

Dispositivo para diagnosticar situaciones anómalas en procesos, en equipos y en sensores utilizados para medir y controlar variables de un proceso, en base al cálculo de residuos entre los valores medidos y los valores calculados por una pluralidad de modelos que comprende: medios de almacenamiento de datos; medios de pre-procesamiento para el filtrado de los datos; medios de modelado; medios de cálculo de residuo; medios de cálculo de la tendencia de cambio; medios de análisis que a partir de la distancia entre el vector que representa las tendencias de cambio actuales luego de la falla con los correspondientes a las diferentes fallas conocidas, determinan la o las fallas que con mayor probabilidad corresponden a la situación actual del proceso y determinan la necesidad de comunicar una situación anómala al operador del proceso; y medios de comunicación que presentan un informe de la situación del proceso.
ARP130102056 2013-06-11 2013-06-11 Dispositivo y metodo para diagnosticar situaciones anomalas en procesos AR091412A1 (es)

Priority Applications (2)

Application Number Priority Date Filing Date Title
ARP130102056 AR091412A1 (es) 2013-06-11 2013-06-11 Dispositivo y metodo para diagnosticar situaciones anomalas en procesos
US14/302,143 US20140365179A1 (en) 2013-06-11 2014-06-11 Method and Apparatus for Detecting and Identifying Faults in a Process

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
ARP130102056 AR091412A1 (es) 2013-06-11 2013-06-11 Dispositivo y metodo para diagnosticar situaciones anomalas en procesos

Publications (1)

Publication Number Publication Date
AR091412A1 true AR091412A1 (es) 2015-02-04

Family

ID=52006190

Family Applications (1)

Application Number Title Priority Date Filing Date
ARP130102056 AR091412A1 (es) 2013-06-11 2013-06-11 Dispositivo y metodo para diagnosticar situaciones anomalas en procesos

Country Status (2)

Country Link
US (1) US20140365179A1 (es)
AR (1) AR091412A1 (es)

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CN105573290B (zh) * 2015-12-16 2017-12-29 浙江中烟工业有限责任公司 卷烟工厂超高速条盒包装机多工况过程在线监测与故障诊断方法
CN105487524B (zh) * 2015-12-29 2017-12-08 浙江中烟工业有限责任公司 具有多工况特性的超高速小盒包装机状态监测与诊断方法
US10444121B2 (en) * 2016-05-03 2019-10-15 Sap Se Fault detection using event-based predictive models
DE102017108496B4 (de) * 2017-04-21 2023-06-29 Windmöller & Hölscher Kg Verfahren und Vorrichtungen sowie System zum Auf- und Abwickeln eines Wickels
CN107451004B (zh) * 2017-07-01 2020-07-31 南京理工大学 一种基于定性趋势分析的道岔故障诊断方法
CN107817784B (zh) * 2017-10-26 2019-07-23 东北大学 一种基于并发偏最小二乘的过程故障检测方法
CN108664000A (zh) * 2018-03-26 2018-10-16 中南大学 一种氧化铝生产蒸发过程稳态检测方法及系统
CN108508860B (zh) * 2018-05-10 2020-03-17 西安交通大学 一种基于耦合关系的流程工业生产系统数据监测方法
EP3582051A1 (de) * 2018-06-12 2019-12-18 Siemens Aktiengesellschaft Umfassende störungsanalyse von steuereinrichtungen und industriellen technischen anlagen
CN109524139B (zh) * 2018-10-23 2023-06-13 中核核电运行管理有限公司 一种基于设备工况变化的实时设备性能监测方法
CN111401573B (zh) * 2018-12-17 2023-10-27 中国科学院沈阳自动化研究所 一种工况状态建模与修正模型方法
CN109885951A (zh) * 2019-02-28 2019-06-14 中科云创(厦门)科技有限公司 设备故障诊断方法及装置
CN110298455B (zh) * 2019-06-28 2023-06-02 西安因联信息科技有限公司 一种基于多变量估计预测的机械设备故障智能预警方法
ES2961321T3 (es) * 2019-09-30 2024-03-11 Siemens Mobility GmbH Diagnóstico de sistemas técnicos mediante el análisis de componentes principales (ACP)
CN110794814B (zh) * 2019-11-27 2022-06-28 中国人民解放军火箭军工程大学 一种基于广义主成分的故障确定方法及系统
CN111241683A (zh) * 2020-01-14 2020-06-05 济南浪潮高新科技投资发展有限公司 一种基于动态时间规整的设备工况故障预测方法和系统
US11768000B2 (en) * 2020-03-24 2023-09-26 Johnson Controls Tyco IP Holdings LLP System and method to operate HVAC system during voltage variation event
CN111539374B (zh) * 2020-05-07 2022-05-20 上海工程技术大学 基于多维数据空间的轨道列车轴承故障诊断方法
CN111899905B (zh) * 2020-08-05 2022-11-01 哈尔滨工程大学 一种基于核动力装置的故障诊断方法及系统
CN112507510A (zh) * 2020-10-30 2021-03-16 珠海一多监测科技有限公司 基于温升负荷性能的电力设备状态诊断方法、电子设备、存储介质
CN113283375A (zh) * 2021-06-08 2021-08-20 中国矿业大学 一种矿山液压支架系统早期故障实时预警方法
CN114613110B (zh) * 2022-01-29 2023-08-18 上海至冕伟业科技有限公司 基于消防物联网的消防水系统故障检测预警系统及方法
CN116006413B (zh) * 2022-12-21 2023-09-15 北京云庐科技有限公司 塔筒监测系统的数据处理方法、装置、设备及存储介质

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1768007A1 (en) * 2005-09-22 2007-03-28 Abb Research Ltd. Monitoring a system having degrading components
US7243048B2 (en) * 2005-11-28 2007-07-10 Honeywell International, Inc. Fault detection system and method using multiway principal component analysis
US8014880B2 (en) * 2006-09-29 2011-09-06 Fisher-Rosemount Systems, Inc. On-line multivariate analysis in a distributed process control system

Also Published As

Publication number Publication date
US20140365179A1 (en) 2014-12-11

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