ATE491185T1 - Detektion abnormer ereignisse durch verwendung einer hauptkomponentenanalyse - Google Patents

Detektion abnormer ereignisse durch verwendung einer hauptkomponentenanalyse

Info

Publication number
ATE491185T1
ATE491185T1 AT07824185T AT07824185T ATE491185T1 AT E491185 T1 ATE491185 T1 AT E491185T1 AT 07824185 T AT07824185 T AT 07824185T AT 07824185 T AT07824185 T AT 07824185T AT E491185 T1 ATE491185 T1 AT E491185T1
Authority
AT
Austria
Prior art keywords
values
variables
dependent
component analysis
abnormal events
Prior art date
Application number
AT07824185T
Other languages
English (en)
Inventor
Keith Landells
Zaid Rawi
Original Assignee
Bp Oil Int
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 Bp Oil Int filed Critical Bp Oil Int
Application granted granted Critical
Publication of ATE491185T1 publication Critical patent/ATE491185T1/de

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
    • 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
    • G05B23/021—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 adopting a different treatment of each operating region or a different mode of the monitored system, e.g. transient modes; different operating configurations of monitored system
    • 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

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)
  • Debugging And Monitoring (AREA)
  • Feedback Control In General (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
AT07824185T 2006-10-18 2007-10-16 Detektion abnormer ereignisse durch verwendung einer hauptkomponentenanalyse ATE491185T1 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP06255365A EP1914638A1 (de) 2006-10-18 2006-10-18 Alarmdetektion durch Hauptkomponentenanalyse
PCT/GB2007/003934 WO2008047098A1 (en) 2006-10-18 2007-10-16 Abnormal event detection using principal component analysis

Publications (1)

Publication Number Publication Date
ATE491185T1 true ATE491185T1 (de) 2010-12-15

Family

ID=37708273

Family Applications (1)

Application Number Title Priority Date Filing Date
AT07824185T ATE491185T1 (de) 2006-10-18 2007-10-16 Detektion abnormer ereignisse durch verwendung einer hauptkomponentenanalyse

Country Status (7)

Country Link
US (1) US8121817B2 (de)
EP (2) EP1914638A1 (de)
AT (1) ATE491185T1 (de)
AU (1) AU2007311652B2 (de)
DE (1) DE602007011088D1 (de)
ES (1) ES2357581T3 (de)
WO (1) WO2008047098A1 (de)

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US7761172B2 (en) 2006-03-21 2010-07-20 Exxonmobil Research And Engineering Company Application of abnormal event detection (AED) technology to polymers
US7720641B2 (en) 2006-04-21 2010-05-18 Exxonmobil Research And Engineering Company Application of abnormal event detection technology to delayed coking unit
US8095588B2 (en) * 2007-12-31 2012-01-10 General Electric Company Method and system for data decomposition via graphical multivariate analysis
WO2010006624A1 (de) * 2008-07-12 2010-01-21 Rag Aktiengesellschaft Verahren zur überwachung und automatisierten steuerung von teilprozessen im untertägigen steinkohlenbergbau
US8571696B2 (en) * 2009-06-10 2013-10-29 Fisher-Rosemount Systems, Inc. Methods and apparatus to predict process quality in a process control system
US9323234B2 (en) * 2009-06-10 2016-04-26 Fisher-Rosemount Systems, Inc. Predicted fault analysis
US20130060524A1 (en) * 2010-12-01 2013-03-07 Siemens Corporation Machine Anomaly Detection and Diagnosis Incorporating Operational Data
US11599892B1 (en) 2011-11-14 2023-03-07 Economic Alchemy Inc. Methods and systems to extract signals from large and imperfect datasets
TWI463334B (zh) 2012-07-20 2014-12-01 Univ Nat Cheng Kung 標的裝置的基底預測保養方法與其電腦程式產品
TWI648609B (zh) 2013-06-07 2019-01-21 美商科學設計股份有限公司 程序監控系統及方法
CN106662557B (zh) 2014-06-27 2018-10-26 联合碳化化学品及塑料技术有限责任公司 监测化学产品生产的方法和其所用的色谱仪
US11940318B2 (en) 2016-09-27 2024-03-26 Baker Hughes Energy Technology UK Limited Method for detection and isolation of faulty sensors
US10495334B2 (en) 2016-09-28 2019-12-03 Johnson Controls Techology Company Systems and methods for steady state detection
US20180087790A1 (en) * 2016-09-28 2018-03-29 Johnson Controls Technology Company Systems and methods for automatically creating and using adaptive pca models to control building equipment
CN107085371A (zh) * 2017-05-03 2017-08-22 北京国控天成科技有限公司 基于数据驱动的原油蒸馏装置经济模型预测控制方法
EP3540543A1 (de) * 2018-03-16 2019-09-18 Airbus Operations, S.L.U. System und verfahren zur detektion von ereignissen
CN108737406B (zh) * 2018-05-10 2020-08-04 北京邮电大学 一种异常流量数据的检测方法及系统
CN110147648B (zh) * 2019-06-20 2022-06-17 浙江大学 基于独立成分分析和稀疏去噪自编码器的汽车传感器故障检测方法
CN115039047A (zh) * 2020-02-04 2022-09-09 巴斯夫欧洲公司 工业工厂监测
CN111752147B (zh) * 2020-05-28 2022-04-22 山东科技大学 一种具有持续学习能力改进pca的多工况过程监测方法
CN111898669B (zh) * 2020-07-24 2023-07-14 大连重工机电设备成套有限公司 一种基于机器学习的直流矿热炉异常事件预警系统
US11780591B2 (en) 2020-11-23 2023-10-10 Honeywell International Inc. Environmental control system performance monitoring
CN114815763A (zh) * 2021-01-27 2022-07-29 西门子股份公司 一种动态控制系统的异常检测方法、装置和计算机可读介质

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4349869A (en) 1979-10-01 1982-09-14 Shell Oil Company Dynamic matrix control method
SE9304246L (sv) * 1993-12-22 1995-06-23 Asea Brown Boveri Förfarande vid övervakning av multivariata processer
US6985781B2 (en) * 1999-01-12 2006-01-10 Pavilion Technologies, Inc. Residual activation neural network
US20060074598A1 (en) * 2004-09-10 2006-04-06 Emigholz Kenneth F Application of abnormal event detection technology to hydrocracking units

Also Published As

Publication number Publication date
ES2357581T3 (es) 2011-04-27
AU2007311652B2 (en) 2012-10-04
EP2074529A1 (de) 2009-07-01
US20100036529A1 (en) 2010-02-11
DE602007011088D1 (de) 2011-01-20
WO2008047098A1 (en) 2008-04-24
US8121817B2 (en) 2012-02-21
EP1914638A1 (de) 2008-04-23
AU2007311652A1 (en) 2008-04-24
EP2074529B1 (de) 2010-12-08

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