在工业控制系统中,合成时间序列生成采用了带有注意力机制的变频循环自编码器
1Department of Computer Engineering (Smart Security), Gachon University, Seongnam-si 1342, Republic of Korea.
Sensors (Basel, Switzerland)
|January 11, 2024
概括
合成数据生成解决了工业控制系统 (ICS) 中的数据稀缺问题. 一个基于注意力的可变循环自编码器 (AVRAE) 有效地生成时间序列ICS数据,捕获时间依赖性,用于改进的AI模型.
科学领域:
- 数据科学数据科学数据科学
- 人工智能的人工智能
- 网络物理系统 网络物理系统
背景情况:
- 数据稀缺是开发强大的人工智能和数据科学模型的主要挑战.
- 由于安全和隐私问题,工业控制系统 (ICS) 的数据通常无法获得,这限制了模型开发.
- ICS数据集具有复杂的时间序列特征,具有短期和长期的时间依赖.
研究的目的:
- 为工业控制系统 (ICS) 提出一种用于生成合成时间序列数据的新方法.
- 通过利用合成数据生成,应对ICS环境中数据稀缺的挑战.
- 为了有效地捕捉和建模ICS数据中固有的时间依赖关系.
主要方法:
- 开发了一种基于注意力的变异性循环自编码器 (AVRAE) 模型.
- 将变化推理的证据下限扩展到时间序列数据.
- 在基于循环神经网络的自编码器中集成了一个注意力机制,以学习时间依赖.
主要成果:
- 拟议的AVRAE模型成功生成了视觉和统计学上可信的合成ICS时间序列数据.
- 对HAI ICS数据集的全面评估表明了AVRAE的有效性.
- 注意力机制使短期和长期时间依赖的有效学习成为可能.
结论:
- AVRAE提供了一种可行的解决方案,用于生成高质量的合成ICS数据,减轻稀缺问题.
- 该方法增强了为ICS开发更准确的AI和数据科学模型的潜力.
- 这项工作为关键基础设施领域的时间序列数据生成提供了一种新的方法.
相关概念视频
Linear time-invariant Systems
262
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
262
Multi-input and Multi-variable systems
106
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
In the absence...
106
Sampling Continuous Time Signal
251
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
In the...
251
Classification of Systems-II
146
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,
146
Basic Continuous Time Signals
211
Basic continuous-time signals include the unit step function, unit impulse function, and unit ramp function, collectively referred to as singularity functions. Singularity functions are characterized by discontinuities or discontinuous derivatives.
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
211
State Space Representation
209
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
Consider an RLC circuit, a...
209


