System and methods for machine anomaly detection based on sound spectrogram images and neural networks

A system comprising:

• an audio capture device configured to generate a signal in response to sound separately generated a first component and a second component of a mechanical apparatus;
• a processor, the processor configured to:
• receive the signal generated by the microphone of the audio capture device;
• classify, based on a convolutional neural network and the signal, operation of the first component, the second component, or a combination thereof;
• determine, based on an autoencoder neural network and the signal, an anomalous event corresponding to the first component, the second component, or a combination thereof;
• and
• output a data message identifying the anomalous event.

A method, comprising:

• receiving an audio signal generated by a microphone of an audio capture device attached to a machine comprising a first component and a second component, the audio capture device configured to generate a signal in response audio caused by operation of the first and second component;
• determining, based on a first machine learning model and the audio signal, an anomalous event associated with the first component, a second component, or a combination thereof;
• classifying, based on a second machine learning model and the audio signal, operation of the first component, the second component, or a combination thereof;
• and
• outputting a second data message indicative of the classified operation and anomalous event.