Author

Augustine Ikpehai

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Open access Sep 2026

A Sequentially Optimized Stacked LSTM Framework for Residual-Based Bearing Fault Detection

This study presents a healthy-only bearing fault detection framework in which a stacked long short-term memory (LSTM) predictor learns normal vibration dynamics through multi-step forecasting, and deviations between predicted and observed vibration sequences are used for residual-based anomaly detection. The methodolog...

Syed Sajjad Haider Zaidi, Alex Shenfield, Hongwei Zhang et al. · Electronics · 0 citations

Open access Jul 2026

Self-Supervised CNN–Transformer Anomaly Detection for Bearing Health Monitoring

The findings demonstrate that the proposed healthy-only self-supervised framework provides an effective and label-efficient approach for rolling bearing anomaly detection and shows promise for predictive maintenance applications where labelled fault data are limited or unavailable.

Syed Sajjad Haider Zaidi, Alex Shenfield, Hongwei Zhang et al. · Processes · 1 citation