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相关概念视频

Cyclic Processes And Isolated Systems01:19

Cyclic Processes And Isolated Systems

A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state. 
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each path...
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the problem,...
Classification of Systems-II01:31

Classification of Systems-II

Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
Open and closed-loop control systems01:17

Open and closed-loop control systems

Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal and...
Feedback control systems01:26

Feedback control systems

Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

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相关实验视频

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Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
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一种软传感器开发算法,用于一类具有明确操作条件的过程.

Darko Stanišić1, Luka Mejić1, Bojan Jorgovanović1

  • 1Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia.

Sensors (Basel, Switzerland)
|March 28, 2024
PubMed
概括

本研究介绍了一种用于开发软传感器的自动化算法,这对于实时过程监控至关重要. 该方法使用辐射基函数神经网络,简化了用于具有不同操作条件的工业应用软传感器的创建.

科学领域:

  • 化学工程是化学工程的重要组成部分.
  • 过程控制 过程控制
  • 人工智能的人工智能

背景情况:

  • 软传感器提供实时过程洞察力,减少对离线实验室分析的依赖.
  • 目前软传感器的开发是应用特定的,需要广泛的过程分析和手动模型选择.
  • 工业采用需要自动化,广泛适用的软传感器开发方法.

研究的目的:

  • 介绍一种自动化算法,用于开发软传感器,用于具有不同操作条件的工艺.
  • 通过高度自动化的开发过程,实现软传感器的广泛工业应用.
  • 尽量减少用户在模型结构选择和参数确定中的干预.

主要方法:

  • 基于辐射基函数人工神经网络 (RBF-ANN) 的算法开发.
  • 算法方便模型结构的自动选择和模型参数的确定.
  • 仅使用训练数据集用于模型开发,需要最小的用户输入.

主要成果:

  • 该算法在软传感器开发中展示了高水平的自动化.
  • 对一种水泥生产工艺的测试,这是一个典型的不同操作条件的案例,取得了成功的结果.
  • 开发的软传感器具有很高的估计性能.
关键词:
对于水泥的细度来说,这是一个很好的表现.不同的运营条件.工业应用 工业应用神经网络的神经网络的神经网络软传感器是一种软传感器.

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结论:

  • 提出的算法为软传感器开发提供了一种高度自动化和高效的方法.
  • 它适用于工业实施,特别是对于具有不同操作条件的工艺.
  • 该方法确保了高估计性能,同时简化了开发生命周期.