JP5922343B2 - オンラインプロセスランをプロセスモデルと整合する方法、オンラインプロセスランの分析を実行する方法、及びコンピュータ装置 - Google Patents
オンラインプロセスランをプロセスモデルと整合する方法、オンラインプロセスランの分析を実行する方法、及びコンピュータ装置 Download PDFInfo
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- JP5922343B2 JP5922343B2 JP2011114704A JP2011114704A JP5922343B2 JP 5922343 B2 JP5922343 B2 JP 5922343B2 JP 2011114704 A JP2011114704 A JP 2011114704A JP 2011114704 A JP2011114704 A JP 2011114704A JP 5922343 B2 JP5922343 B2 JP 5922343B2
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Classifications
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
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- 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
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- 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
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US12/784,689 US8880203B2 (en) | 2010-05-21 | 2010-05-21 | On-line alignment of a process analytical model with actual process operation |
| US12/784689 | 2010-05-21 |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2015202648A Division JP6163526B2 (ja) | 2010-05-21 | 2015-10-14 | バッチプロセスのオンラインプロセスランの分析を実行する方法 |
Publications (3)
| Publication Number | Publication Date |
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| JP2011248885A JP2011248885A (ja) | 2011-12-08 |
| JP2011248885A5 JP2011248885A5 (enExample) | 2014-06-26 |
| JP5922343B2 true JP5922343B2 (ja) | 2016-05-24 |
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| JP2015202648A Active JP6163526B2 (ja) | 2010-05-21 | 2015-10-14 | バッチプロセスのオンラインプロセスランの分析を実行する方法 |
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Country Status (6)
| Country | Link |
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| US (1) | US8880203B2 (enExample) |
| JP (2) | JP5922343B2 (enExample) |
| CN (1) | CN102298319B (enExample) |
| DE (1) | DE102011102034B4 (enExample) |
| GB (1) | GB2482367B (enExample) |
| PH (1) | PH12011000157A1 (enExample) |
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| US9134711B2 (en) * | 2010-05-04 | 2015-09-15 | Frito-Lay North America, Inc. | Advanced batch control |
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|---|---|
| US8880203B2 (en) | 2014-11-04 |
| GB201107729D0 (en) | 2011-06-22 |
| CN102298319B (zh) | 2017-07-18 |
| GB2482367B (en) | 2017-09-27 |
| CN102298319A (zh) | 2011-12-28 |
| DE102011102034A1 (de) | 2011-11-24 |
| JP6163526B2 (ja) | 2017-07-12 |
| JP2011248885A (ja) | 2011-12-08 |
| JP2016006699A (ja) | 2016-01-14 |
| DE102011102034B4 (de) | 2023-09-28 |
| US20110288660A1 (en) | 2011-11-24 |
| PH12011000157A1 (en) | 2012-11-26 |
| GB2482367A (en) | 2012-02-01 |
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