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Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description
Sertac Kilickaya, Mete Ahishali, Cansu Celebioglu +5
The frequent breakdowns and malfunctions of industrial equipment have driven increasing interest in utilizing cost-effective and easy-to-deploy sensors, such as microphones, for ef…
Exploring Sound vs Vibration for Robust Fault Detection on Rotating Machinery
Serkan Kiranyaz, Ozer Can Devecioglu, Amir Alhams +4
Robust and real-time detection of faults on rotating machinery has become an ultimate objective for predictive maintenance in various industries. Vibration-based Deep Learning (DL)…
Sound-to-Vibration Transformation for Sensorless Motor Health Monitoring
Ozer Can Devecioglu, Serkan Kiranyaz, Amer Elhmes +6
Automatic sensor-based detection of motor failures such as bearing faults is crucial for predictive maintenance in various industries. Numerous methodologies have been developed ov…