CN113874866A - 传感器模型的生成方法和系统、传感器测量方法和系统 - Google Patents

传感器模型的生成方法和系统、传感器测量方法和系统 Download PDF

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CN113874866A
CN113874866A CN201980096752.3A CN201980096752A CN113874866A CN 113874866 A CN113874866 A CN 113874866A CN 201980096752 A CN201980096752 A CN 201980096752A CN 113874866 A CN113874866 A CN 113874866A
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sensor
model
target
samples
sample
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白新
周晓舟
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Siemens AG
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/23Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/27Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model

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Abstract

一种传感器模型的生成方法和系统、传感器测量方法和系统、以及存储介质。其中,生成方法包括:预先确定一基线仿真模型的至少一组输入参数样本(S11),并得到针对每组输入参数样本的一组输出参数样本,将其作为一组样本存储到一样本集中(S12);针对一目标传感器或目标传感器组合,利用样本集中第一数量的样本对一构建的神经网络模型进行训练,得到对应的传感器临时模型;利用样本集中剩余的样本对传感器临时模型的输出精度进行校验(S13);在校验精度满足设定要求时,将每个传感器临时模型作为所对应的单个目标传感器或目标传感器组合的传感器初始模型(S14‑S15),该传感器模型的生成方法和系统利用传感器模型来代替物理传感器来监测目标设备的真实性能。

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PCT国内申请,说明书已公开。

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  1. PCT国内申请,权利要求书已公开。
CN201980096752.3A 2019-09-10 2019-09-10 传感器模型的生成方法和系统、传感器测量方法和系统 Pending CN113874866A (zh)

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DE102022201637A1 (de) 2022-02-17 2023-08-17 Zf Friedrichshafen Ag Computerimplementiertes Verfahren und System zur Erzeugung eines virtuellen Klons eines Sensors

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US8019576B2 (en) * 2007-02-16 2011-09-13 Telcordia Licensing Company, Llc Method for placement of sensors for surveillance
US7787969B2 (en) * 2007-06-15 2010-08-31 Caterpillar Inc Virtual sensor system and method
US20180189647A1 (en) * 2016-12-29 2018-07-05 Google, Inc. Machine-learned virtual sensor model for multiple sensors
US10346228B2 (en) * 2017-07-12 2019-07-09 Siemens Aktiengesellschaft Method and system for deviation detection in sensor datasets
CN109086658B (zh) * 2018-06-08 2021-06-08 中国科学院计算技术研究所 一种基于生成对抗网络的传感器数据生成方法与系统
CN110007645B (zh) * 2019-04-11 2020-11-03 华中科技大学 一种基于动力学及深度神经网络的进给系统混合建模方法

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EP4006767A4 (en) 2023-05-24
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