Predictive maintenance allows equipment operators and manufacturers to assess the condition of machines, diagnose faults, and estimate time to failure. Because machines are increasingly complex and generate large amounts of data, many engineers are exploring deep learning approaches to achieve the best predictive results.  In this talk, you will discover how to use deep learning for a condition monitoring of an air compressor using an audio-based fault classifier.