Incipient fault dataset for analog circuits

This dataset contain the pulse responses of the Sallen-Key bandpass filter circuit and the amplifier board circuit. The test excitation is a 10 us pulse signal with an amplitude of 5 V and a frequency of 5 kHZ that exhibits abundant frequency components. By observing the pulse response, the sampling frequency is set to 5 MHz and the number of sampling points for each sample is fixed at 1000 in Case 1. PSPICE is applied for circuit simulation to set up the circuit fault according to the range of fault component parameter values. Through the Monte Carlo analysis, 300 responses are generated for each fault class using PSPICE to construct a dataset in Case 1, which is randomly divided into training and test sample sets in the ratio of 7:3. In Case 2, the sampling frequency is set to 500 KHz. According to the range of fault component parameter values, the components whose parameter values are within this range are selected as fault components, and these fault components are applied to replace the normal components for the fault injection of the real circuit. The actual signals acquired from the real circuit and the simulated signals obtained by PSPICE are integrated as a dataset with 300 responses for each fault class, which is also divided according to the ratio of 7:3.

本数据集包含萨伦-基（Sallen-Key）带通滤波电路与放大板电路的脉冲响应。测试激励为幅值5 V、频率5 kHz、脉宽10 μs的脉冲信号，该信号包含丰富的频率分量。通过观测脉冲响应，案例1中将采样频率设置为5 MHz，每个样本的采样点数固定为1000。采用PSPICE进行电路仿真，依据故障元件参数值的取值范围设置电路故障。通过蒙特卡洛分析，使用PSPICE为每一类故障生成300组响应，以此构建案例1的数据集，并以7:3的比例随机划分为训练样本集与测试样本集。案例2中将采样频率设置为500 kHz。依据故障元件参数值的取值范围，选取参数值处于该范围内的元件作为故障元件，并将其替换为正常元件以实现实物电路的故障注入。将从实物电路采集的实际信号与通过PSPICE得到的仿真信号整合为数据集，每一类故障包含300组响应，同样以7:3的比例进行划分。

搜集汇总

背景与挑战

背景概述

该数据集是一个用于模拟电路早期故障诊断的数据集，包含Sallen-Key带通滤波器电路和放大器板电路的脉冲响应数据，数据以CSV格式存储。数据集通过电路仿真和实际电路故障注入生成，每个故障类别包含300个响应样本，并已按7:3的比例划分为训练集和测试集，适用于人工智能和模拟信号处理领域的故障诊断研究。