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Stagewise Anomaly Detection for E-Transaxle Quality Monitoring Using Wavelet and STFT Features
This paper presents two interpretable machine-learning frameworks for quality screening of e-transaxle assemblies in electric vehicles: a Stagewise Wavelet Isolation Forest (SWIF) framework and a short-time Fourier transform (STFT)-based diagnostic framework. High-dimensional vibration signals acqui
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