CN101636698A - 使用三维pareto-front遗传规划开发的推理传感器 - Google Patents

使用三维pareto-front遗传规划开发的推理传感器 Download PDF

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Publication number
CN101636698A
CN101636698A CN200880008403A CN200880008403A CN101636698A CN 101636698 A CN101636698 A CN 101636698A CN 200880008403 A CN200880008403 A CN 200880008403A CN 200880008403 A CN200880008403 A CN 200880008403A CN 101636698 A CN101636698 A CN 101636698A
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algorithm
candidate
prediction algorithm
bioprocess
chemistry
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CN200880008403A
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English (en)
Chinese (zh)
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吉多·弗雷迪·斯米茨
亚瑟·卡尔·科登
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Dow Global Technologies LLC
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Dow Global Technologies LLC
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0205Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
    • G05B13/026Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system using a predictor

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  • Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
CN200880008403A 2007-03-19 2008-02-21 使用三维pareto-front遗传规划开发的推理传感器 Pending CN101636698A (zh)

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US89563707P 2007-03-19 2007-03-19
US60/895,637 2007-03-19

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CN101636698A true CN101636698A (zh) 2010-01-27

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US (1) US8250006B2 (https=)
EP (1) EP2130099A1 (https=)
JP (1) JP2010522376A (https=)
CN (1) CN101636698A (https=)
WO (1) WO2008115655A1 (https=)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104584621A (zh) * 2012-09-28 2015-04-29 英特尔公司 用于减少计算设备的无线重新连接时间的混合场外/现场预测计算

Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5608424B2 (ja) * 2010-05-27 2014-10-15 日本ポリプロ株式会社 ポリオレフィン樹脂の造粒システム及びそれを用いた造粒方法
US20140039806A1 (en) * 2012-08-02 2014-02-06 Siemens Corporation Estimating remaining useful life from prognostic features discovered using genetic programming
CN105074586A (zh) 2013-03-26 2015-11-18 西门子公司 用于计算机辅助地控制和/或调节技术系统的方法
CA2815161A1 (en) 2013-05-06 2014-11-06 Hydro-Quebec Quantitative analysis of signal related measurements for trending and pattern recognition
US10366346B2 (en) 2014-05-23 2019-07-30 DataRobot, Inc. Systems and techniques for determining the predictive value of a feature
US10558924B2 (en) 2014-05-23 2020-02-11 DataRobot, Inc. Systems for second-order predictive data analytics, and related methods and apparatus
JP6444494B2 (ja) 2014-05-23 2018-12-26 データロボット, インコーポレイテッド 予測データ分析のためのシステムおよび技術
US10496927B2 (en) 2014-05-23 2019-12-03 DataRobot, Inc. Systems for time-series predictive data analytics, and related methods and apparatus
WO2015194006A1 (ja) * 2014-06-19 2015-12-23 富士通株式会社 プログラム生成装置、プログラム生成方法およびプログラム
US10387900B2 (en) 2017-04-17 2019-08-20 DataRobot, Inc. Methods and apparatus for self-adaptive time series forecasting engine
US11078428B2 (en) 2017-08-07 2021-08-03 Saudi Arabian Oil Company Generating a soft sensor for crude stabilization in the petroleum industry
US12327195B2 (en) * 2018-12-04 2025-06-10 The Boeing Company Automated feature generation for sensor subset selection
US20210033360A1 (en) * 2019-07-30 2021-02-04 Hamilton Sundstrand Corporation Evolved inferential sensors for improved fault detection and isolation
US11422545B2 (en) 2020-06-08 2022-08-23 International Business Machines Corporation Generating a hybrid sensor to compensate for intrusive sampling
US12297722B2 (en) 2022-02-03 2025-05-13 Saudi Arabian Oil Company Total crude oil demand control from multiple oil stabilizer columns
US12189376B2 (en) * 2022-03-09 2025-01-07 The Boeing Company Outlier detection and management

Family Cites Families (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4935877A (en) 1988-05-20 1990-06-19 Koza John R Non-linear genetic algorithms for solving problems
US5282261A (en) 1990-08-03 1994-01-25 E. I. Du Pont De Nemours And Co., Inc. Neural network process measurement and control
US5386373A (en) 1993-08-05 1995-01-31 Pavilion Technologies, Inc. Virtual continuous emission monitoring system with sensor validation
JPH0972621A (ja) * 1995-09-04 1997-03-18 Toshiba Corp 空気調和機
US6144952A (en) 1995-09-20 2000-11-07 Keeler; James D. Predictive network with learned preprocessing parameters
US5877954A (en) 1996-05-03 1999-03-02 Aspen Technology, Inc. Hybrid linear-neural network process control
US6453265B1 (en) * 1999-12-28 2002-09-17 Hewlett-Packard Company Accurately predicting system behavior of a managed system using genetic programming
JP2002278603A (ja) * 2001-03-16 2002-09-27 Toshiba Corp 最適水運用計画装置及び最適水運用計画方法
US6657019B2 (en) 2001-11-20 2003-12-02 Basf Corporation Method and apparatus for predicting polymer latex properties in an emulsion polymerization process to improve the quality and productivity of the polymer latex
US7127436B2 (en) * 2002-03-18 2006-10-24 Motorola, Inc. Gene expression programming algorithm
US6882929B2 (en) 2002-05-15 2005-04-19 Caterpillar Inc NOx emission-control system using a virtual sensor
US20060218107A1 (en) * 2005-03-24 2006-09-28 The University Of Tennessee Research Foundation Method for controlling a product production process

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104584621A (zh) * 2012-09-28 2015-04-29 英特尔公司 用于减少计算设备的无线重新连接时间的混合场外/现场预测计算

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WO2008115655A1 (en) 2008-09-25
EP2130099A1 (en) 2009-12-09
US8250006B2 (en) 2012-08-21
JP2010522376A (ja) 2010-07-01
US20100049340A1 (en) 2010-02-25

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