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Rasım Çekik

1 paper indexed

crossrefApplied Sciences2025-03-14Cited by 21

Deep Learning for Anomaly Detection in CNC Machine Vibration Data: A RoughLSTM-Based Approach

Rasım Çekik, Abdullah Turan

Ensuring the reliability and efficiency of computer numerical control (CNC) machines is crucial for industrial production. Traditional anomaly detection methods often struggle with uncertainty in vibration data, leading to misclassifications and ineffective predictive maintenance…

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