CN106537443B - 用于对表示网格异常状态严重性的原位传感器响应数据模式分类的系统及方法 - Google Patents

用于对表示网格异常状态严重性的原位传感器响应数据模式分类的系统及方法 Download PDF

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CN106537443B
CN106537443B CN201580038774.6A CN201580038774A CN106537443B CN 106537443 B CN106537443 B CN 106537443B CN 201580038774 A CN201580038774 A CN 201580038774A CN 106537443 B CN106537443 B CN 106537443B
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signal injection
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CN106537443A (zh
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布赖恩·E·布鲁克斯
陆扬
安德鲁·T·蒂奥
吉勒·J·伯努瓦
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3M Innovative Properties Co
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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
    • G05B13/042—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 in which a parameter or coefficient is automatically adjusted to optimise the performance
    • G05B13/045—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 in which a parameter or coefficient is automatically adjusted to optimise the performance using a perturbation signal
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CN201580038774.6A 2014-07-17 2015-07-14 用于对表示网格异常状态严重性的原位传感器响应数据模式分类的系统及方法 Active CN106537443B (zh)

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US201462025617P 2014-07-17 2014-07-17
US62/025,617 2014-07-17
PCT/US2015/040359 WO2016011014A1 (en) 2014-07-17 2015-07-14 Systems and methods for classifying in-situ sensor response data patterns representative of grid pathology severity

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US11375677B2 (en) * 2019-06-19 2022-07-05 Max Safai Fluid conservation system and methods of use
US12031733B2 (en) * 2019-12-17 2024-07-09 Tignis, Inc. Method for physical system anomaly detection
US20230060325A1 (en) * 2020-02-28 2023-03-02 3M Innovative Properties Company Deep causal learning for advanced model predictive control

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CN101258513A (zh) * 2005-07-01 2008-09-03 斯夸尔D公司 公用设施监控系统中的自动分级结构分类
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BR112017000875A2 (pt) 2017-12-05
EP3170141A1 (en) 2017-05-24
US10698371B2 (en) 2020-06-30
JP2017524325A (ja) 2017-08-24
JP6599428B2 (ja) 2019-10-30
WO2016011014A1 (en) 2016-01-21
EP3170141B1 (en) 2020-09-02
EP3170141A4 (en) 2017-12-20
TW201626315A (zh) 2016-07-16
CA2955033A1 (en) 2016-01-21
US20170205781A1 (en) 2017-07-20
CN106537443A (zh) 2017-03-22

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