Machine Health Monitoring

Detect faults and monitor machine health through audio

Audio signals containing machine sounds can be used to monitor the machine health and detect faults. These examples show how to apply deep learning and AI techniques to machine health monitoring.

Featured Examples

Audio-Based Anomaly Detection for Machine Health Monitoring

Design an autoencoder neural network to perform anomaly detection for machine sounds using unsupervised learning.

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Acoustics-Based Machine Fault Recognition

Develop a deep learning model to detect faults in an air compressor and package the system to operate on streaming data.

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