JP7123849B2 - 制約発見を用いた物理的コンポーネントの構成方程式の学習 - Google Patents

制約発見を用いた物理的コンポーネントの構成方程式の学習 Download PDF

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JP7123849B2
JP7123849B2 JP2019078213A JP2019078213A JP7123849B2 JP 7123849 B2 JP7123849 B2 JP 7123849B2 JP 2019078213 A JP2019078213 A JP 2019078213A JP 2019078213 A JP2019078213 A JP 2019078213A JP 7123849 B2 JP7123849 B2 JP 7123849B2
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JP2019197540A (ja
JP2019197540A5 (cg-RX-API-DMAC10.html
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イオン・マテイ
ヨハン・デクリーア
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パロ アルト リサーチ センター インコーポレイテッド
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    • G06N3/0985—Hyperparameter optimisation; Meta-learning; Learning-to-learn
    • 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
    • G05B17/00—Systems involving the use of models or simulators of said systems
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G06F17/17—Function evaluation by approximation methods, e.g. inter- or extrapolation, smoothing, least mean square method
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
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    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • G—PHYSICS
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    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
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    • G06N3/0499—Feedforward networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
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    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
    • B61L27/50—Trackside diagnosis or maintenance, e.g. software upgrades
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
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    • G06F2111/04—Constraint-based CAD
    • G—PHYSICS
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/10—Numerical modelling
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/20—Configuration CAD, e.g. designing by assembling or positioning modules selected from libraries of predesigned modules
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks

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  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
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  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Testing And Monitoring For Control Systems (AREA)
JP2019078213A 2018-05-09 2019-04-17 制約発見を用いた物理的コンポーネントの構成方程式の学習 Active JP7123849B2 (ja)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US15/974,968 US11321504B2 (en) 2018-05-09 2018-05-09 Learning constitutive equations of physical components with constraints discovery
US15/974,968 2018-05-09

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JP2019197540A JP2019197540A (ja) 2019-11-14
JP2019197540A5 JP2019197540A5 (cg-RX-API-DMAC10.html) 2022-04-26
JP7123849B2 true JP7123849B2 (ja) 2022-08-23

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SE543674C2 (en) * 2019-04-18 2021-05-25 Calejo Ind Intelligence Ab Evaluation and/or adaptation of industrial and/or technical process models
EP3882722A1 (en) * 2020-03-19 2021-09-22 Siemens Aktiengesellschaft Manufacturing or controlling a technical system using an optimized parameter set
CN111695611B (zh) * 2020-05-27 2022-05-03 电子科技大学 一种蜂群优化核极限学习和稀疏表示机械故障识别方法
US11829689B1 (en) * 2020-06-09 2023-11-28 The Mathworks, Inc. Systems and methods for creating variant regions in acausal simulation models
US20220043948A1 (en) * 2020-08-06 2022-02-10 Palo Alto Research Center Incorporated Validating qualitative states with the conflict resolution method
CN112632860B (zh) * 2021-01-04 2024-06-04 华中科技大学 一种基于强化学习的动力传动系统模型参数辨识方法
CN114696788B (zh) * 2022-04-12 2023-05-05 电子科技大学 一种抗多主瓣干扰的波形与滤波器联合认知设计方法
FR3140181B1 (fr) * 2022-09-27 2025-05-23 Centre Nat Rech Scient Procédé de commande d’un système mécatronique

Citations (6)

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Publication number Priority date Publication date Assignee Title
US20060064291A1 (en) 2004-04-21 2006-03-23 Pattipatti Krishna R Intelligent model-based diagnostics for system monitoring, diagnosis and maintenance
US20080294578A1 (en) 2007-05-24 2008-11-27 Palo Alto Research Center Incorporated Diagnosing intermittent faults
US20150199471A1 (en) 2014-01-13 2015-07-16 Marorka Ehf Energy system optimization
JP2016100009A (ja) 2014-11-25 2016-05-30 三菱電機株式会社 機械の動作を制御する方法、および機械の動作を反復的に制御する制御システム
JP2016105687A (ja) 2014-11-26 2016-06-09 ゼネラル・エレクトリック・カンパニイ 発電プラント発電ユニットの制御を強化するための方法およびシステム
US20180107925A1 (en) 2016-10-19 2018-04-19 Samsung Electronics Co., Ltd. Method and apparatus for neural network quantization

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US11521069B2 (en) * 2016-10-31 2022-12-06 Oracle International Corporation When output units must obey hard constraints
US9982903B1 (en) * 2017-01-20 2018-05-29 Johnson Controls Technology Company HVAC system with predictive free cooling control based on the cost of transitioning into a free cooling state

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060064291A1 (en) 2004-04-21 2006-03-23 Pattipatti Krishna R Intelligent model-based diagnostics for system monitoring, diagnosis and maintenance
US20080294578A1 (en) 2007-05-24 2008-11-27 Palo Alto Research Center Incorporated Diagnosing intermittent faults
US20150199471A1 (en) 2014-01-13 2015-07-16 Marorka Ehf Energy system optimization
JP2016100009A (ja) 2014-11-25 2016-05-30 三菱電機株式会社 機械の動作を制御する方法、および機械の動作を反復的に制御する制御システム
JP2016105687A (ja) 2014-11-26 2016-06-09 ゼネラル・エレクトリック・カンパニイ 発電プラント発電ユニットの制御を強化するための方法およびシステム
US20180107925A1 (en) 2016-10-19 2018-04-19 Samsung Electronics Co., Ltd. Method and apparatus for neural network quantization

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
BOHM, T.，Remaining Useful Life Prediction for Railway Switch Engines Using Classification Techniques ，International Journal of Prognostics and Health Management [online]，PHM Society，2017年12月01日，Vol. 8, No. 3，pp. 1-15，[検索日 2022.06.23], インターネット，ＵＲＬ：http://papers.phmsociety.org/index.php/ijphm/article/view/2666

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JP2019197540A (ja) 2019-11-14
US11321504B2 (en) 2022-05-03
US20190347370A1 (en) 2019-11-14
EP3567530A3 (en) 2020-07-15

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