DE602007011088D1 - Detektion abnormer ereignisse durch verwendung einer hauptkomponentenanalyse - Google Patents
Detektion abnormer ereignisse durch verwendung einer hauptkomponentenanalyseInfo
- Publication number
- DE602007011088D1 DE602007011088D1 DE602007011088T DE602007011088T DE602007011088D1 DE 602007011088 D1 DE602007011088 D1 DE 602007011088D1 DE 602007011088 T DE602007011088 T DE 602007011088T DE 602007011088 T DE602007011088 T DE 602007011088T DE 602007011088 D1 DE602007011088 D1 DE 602007011088D1
- Authority
- DE
- Germany
- Prior art keywords
- values
- variables
- dependent
- component analysis
- events
- Prior art date
- Legal status (The legal status 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 status listed.)
- Active
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
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 |
---|---|
DE602007011088D1 true DE602007011088D1 (de) | 2011-01-20 |
Family
ID=37708273
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
DE602007011088T Active DE602007011088D1 (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) |
Families Citing this family (23)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
US9323234B2 (en) * | 2009-06-10 | 2016-04-26 | Fisher-Rosemount Systems, Inc. | Predicted fault analysis |
US8571696B2 (en) * | 2009-06-10 | 2013-10-29 | Fisher-Rosemount Systems, Inc. | Methods and apparatus to predict process quality in a process control system |
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 |
US10048238B2 (en) | 2014-06-27 | 2018-08-14 | Union Carbide Chemicals & Plastics Technology Llc | Method of monitoring production of a chemical product and a chromatograph used therewith |
US11940318B2 (en) | 2016-09-27 | 2024-03-26 | Baker Hughes Energy Technology UK Limited | Method for detection and isolation of faulty sensors |
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 |
US10495334B2 (en) | 2016-09-28 | 2019-12-03 | Johnson Controls Techology Company | Systems and methods for steady state detection |
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 |
KR20220137931A (ko) * | 2020-02-04 | 2022-10-12 | 바스프 에스이 | 산업 플랜트 모니터링 |
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)
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 |
-
2006
- 2006-10-18 EP EP06255365A patent/EP1914638A1/de not_active Ceased
-
2007
- 2007-10-16 EP EP07824185A patent/EP2074529B1/de not_active Not-in-force
- 2007-10-16 US US12/311,785 patent/US8121817B2/en not_active Expired - Fee Related
- 2007-10-16 DE DE602007011088T patent/DE602007011088D1/de active Active
- 2007-10-16 WO PCT/GB2007/003934 patent/WO2008047098A1/en active Application Filing
- 2007-10-16 AT AT07824185T patent/ATE491185T1/de not_active IP Right Cessation
- 2007-10-16 ES ES07824185T patent/ES2357581T3/es active Active
- 2007-10-16 AU AU2007311652A patent/AU2007311652B2/en not_active Ceased
Also Published As
Publication number | Publication date |
---|---|
EP2074529A1 (de) | 2009-07-01 |
WO2008047098A1 (en) | 2008-04-24 |
ATE491185T1 (de) | 2010-12-15 |
AU2007311652B2 (en) | 2012-10-04 |
ES2357581T3 (es) | 2011-04-27 |
US8121817B2 (en) | 2012-02-21 |
US20100036529A1 (en) | 2010-02-11 |
AU2007311652A1 (en) | 2008-04-24 |
EP2074529B1 (de) | 2010-12-08 |
EP1914638A1 (de) | 2008-04-23 |
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