通过kolmogorov-arnold网络在非静止工业过程中检测故障,并进行测试时间培训
Daye Li1, Jie Dong1, Kaixiang Peng2
1Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 100083, PR China.
ISA transactions
|October 30, 2025
概括
本研究介绍了一项使用科尔莫戈罗夫-阿诺德网络 (KAN) 和测试时间培训 (TTT) 的终身故障检测策略,以适应不断变化的工业数据分布. 该方法在非静止条件下实现了高精度,零假报警.
科学领域:
- 工业过程监控 工业过程监控
- 机器学习 机器学习
- 故障检测 检测故障检测
背景情况:
- 工业过程容易因设备老化和环境变化等因素而发生数据分布转移.
- 这些轮班增加了错误报警,并降低了传统故障检测系统的有效性.
- 确保安全和稳定的工业运营需要强大的和适应性的监控解决方案.
研究的目的:
- 开发一种终身故障检测策略,能够适应工业环境中的动态数据分布.
- 提高故障检测方法在非静止条件下的可靠性和适应性.
- 为了尽量减少错误报警率,同时保持高检测准确度.
主要方法:
- 将科尔莫戈罗夫-阿诺德网络 (KAN) 与一种新的测试时间培训 (TTT) 机制集成.
- 实施动态适应框架,使用重建错误进行选择性参数更新.
- 使用轻量级的在线更新机制,在操作过程中将隐藏的表示精制为正常样本.
主要成果:
- 拟议的方法在化学工业基准数据集上的现有最先进方法上显示了显著的性能改进.
- 在非静止条件下实现了92.7%的正确监测率.
- 保持了0%的错误报警率,展示了高可靠性和稳定性.
结论:
- 拟议的终身故障检测策略有效地解决了工业监测中分布式转移所带来的挑战.
- 基于KAN的TTT方法提供了持续的适应,无需重新培训或标记目标数据.
- 这种方法通过卓越的故障检测能力显著提高工业设施的安全性和稳定性.
相关概念视频
Multimachine Stability
539
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
539
Linear time-invariant Systems
859
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...
859
Sequence Networks of Rotating Machines
481
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
481
Detection of Gross Error: The Q Test
6.8K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.8K
BIBO stability of continuous and discrete -time systems
877
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
877
Survival Tree
379
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
379
