TADF-Net: A Temporal-Spatial Adaptive Dual-Branch Fusion Network for Analog Circuit Fault Diagnosis 机器收录·待核验

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This dataset contains the simulation data supporting the experimental results of the paper entitled "TADF-Net: A Temporal-Spatial Adaptive Dual-Branch Fusion Network for Analog Circuit Fault Diagnosis". The dataset consists of 13 CSV files (F0 to F12), corresponding to one normal state (NF) and 12 soft fault modes (C1↓, C1↑, C2↓, C2↑, R1↓, R1↑, R2↓, R2↑, R3↓, R3↑, R4↓, R4↑). Each file contains 300 samples, and each sample is a voltage temporal signal with 1240 sampling points. The data were collected using PSpice simulation software on a four-op-amp biquad high-pass filter circuit with a single pulse excitation signal of 5 V amplitude and 10 μs period. This dataset can be used for training and evaluating analog circuit soft fault diagnosis algorithms.

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落地页

https://www.scidb.cn/detail?dataSetId=abff5e6725a7493483c09adb79eb64ba

许可证

CC-BY-4.0 (置信:verified_official)

发布年份

2026

发布方

Science Data Bank

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