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#machine learning Preprint Aug 2026

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 acquired from front and b...

M. N. Bisheh, Rajesh Gupta, Qian Wang et al. · 0 citations
2026

A Physics-Informed Neural Network Framework Leveraging Deterministic Learning and Statistical Constraints for Bearing Fault Diagnosis

Recently, physics-informed learning-based intelligent bearing fault diagnosis methods have demonstrated great potential in improving diagnostic accuracy and physical consistency. Nevertheless, the practical deployment of conventional physics-informed neural networks typically relies on explicit partial differential equ...

Peng Zhang, Qian Wang, Fu-Kai Zhang et al. · 0 citations

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