AINeutralarXiv – CS AI · 8h ago6/10
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TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection
Researchers introduce TPA-AD, a two-stage machine learning method for detecting anomalies in bearing time-series data using only normal training samples. The approach generates synthetic anomalies near normal boundaries and uses contrastive learning to identify degradation patterns, demonstrating improved performance on bearing fault detection and broader applicability across 13 public anomaly detection datasets.