一种基于TQWT-CNN的二阶带通波器电路的新型故障诊断方法
Xinjia Yuan1, Yunlong Sheng1, Xuye Zhuang1
1School of Mechanical Engineering, Shandong University of Technology, Zibo, China.
PloS one
|February 8, 2024
概括
这项研究引入了改进的可调Q因子波形变换 (TQWT) 和卷积神经网络 (CNN) 来进行模拟电路故障诊断. 这种新的方法在识别故障元件方面达到很高的准确性.
科学领域:
- 电气工程 电气工程
- 信号处理 信号处理
- 人工智能的人工智能
背景情况:
- 在模拟电路中,准确的故障诊断对于系统可靠性至关重要.
- 传统方法可能会在复杂的信号特征和适应性参数选择方面扎.
- 波形变换和深度学习为增强特征提取和分类提供了潜力.
研究的目的:
- 开发一种先进的模拟电路故障诊断方法.
- 利用自适应信号分解和深度学习来提高准确性.
- 解决现有的故障定位技术的局限性.
主要方法:
- 一个改进的可调整的Q因子波形变换 (TQWT),由灰狼算法 (GWO) 优化,用于适应性参数选择 (Q因子,分解水平).
- 使用增强的TQWT进行信号分解和单分支重建,以进行全面的特征提取.
- 一个混合的卷积神经网络 (CNN) - 长期短期记忆 (LSTM) 网络用于捕获时间频率特征,其次是具有完全卷积网络 (FCN) 层和批量规范化为最终故障诊断的CNN.
主要成果:
- 提出的方法成功地分解和重建信号,促进有效的特征提取.
- 美国有线电视新闻网 (CNN-LSTM) 网络有效地捕获了基本的时间频率特征.
- 最终基于CNN的诊断在二级带通波器电路上实现了98.96%的优异平均准确性.
结论:
- 集成GWO优化的TQWT和CNN-LSTM展示了对模拟电路故障诊断的强大方法.
- 该方法在识别故障组件方面表现出高精度和稳定性.
- 这种技术在自动模拟电路测试和维护方面取得了重大进展.
相关概念视频
01:19Second-order Op Amp Circuits
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Implementing second-order low-pass filters in audio systems is crucial in refining audio signals by eliminating undesirable high-frequency noise. These filters typically involve second-order op-amp circuits configured as voltage followers, encompassing two nodes with distinct storage elements.
The analysis of such circuits follows a systematic approach, similar to the second-order RLC circuits. In practical scenarios, bulky inductors are rarely employed due to their size and weight. This means...
The analysis of such circuits follows a systematic approach, similar to the second-order RLC circuits. In practical scenarios, bulky inductors are rarely employed due to their size and weight. This means...
346
01:25Active Filters
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Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
826
01:17Bandpass Sampling
180
In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
180
01:25Network Function of a Circuit
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Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
290
01:18Op Amp AC Circuits
213
Within an audio system, the filter circuit plays a pivotal role in processing the amplified audio signal from an amplifier. Its primary function is significantly attenuating signal components with lower frequencies, thereby shaping the audio output. This circuit's operations are examined, focusing on the fundamental filter configuration. This configuration involves an operational amplifier arranged in an inverting setup coupled with resistors (R1 and R2) and a capacitor (C1).
213
01:18Second Order systems II
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In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
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