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.

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。