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Based on the classic Sallen-Key second-order active low-pass filter, the dataset incorporates 5% and 10% manufacturing tolerances (assuming a Gaussian distribution) to accurately simulate real-world physical component variations.It contains 9,000 AC sweep frequency traces across 9 distinct circuit states (1 normal state, 8 soft and hard fault modes). Both raw data (Raw_Trace_Data) and preprocessed data (Processed_Trace_Data with 2% AWGN and Min-Max normalization) are provided in CSV and NPY formats. This dataset accurately reflects the physical overlap between normal tolerance bands and minor fault features, making it an ideal benchmark for evaluating machine learning, metric learning, and robust AI algorithms in noisy, low-sample 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