System for predictive maintenance using trace norm generative adversarial networks

A non-transitory computer readable medium storing instructions for training and deploying a failure prediction model, the instructions comprising:

• providing generated sensor data and real sensor data to a first network and to a second network, the first network configured to enforce trace norm minimization of the second network, the second network configured to distinguish between the generated sensor data and the real sensor data, the first network comprising a subset of layers from the second network, the real sensor data comprising pairs of real sensor data and labels, the second network integrated into a generative adversarial network (GAN);
• training the failure prediction model from the output of the first network using the provided generated sensor data and the real sensor data, the output of the first network comprising feature vectors;
• and
• deploying the failure prediction model with the first network, the deployed first network configured to intake the real sensor data to output the feature vectors to the failure prediction model.

An apparatus configured for training and deploying a failure prediction model, the apparatus comprising:

• a processor, configured to:
• provide generated sensor data and real sensor data to a first network and to a second network, the first network configured to enforce trace norm minimization of the second network, the second network configured to distinguish between the generated sensor data and the real sensor data, the first network comprising a subset of layers from the second network, the real sensor data comprising pairs of real sensor data and labels, the second network integrated into a generative adversarial network (GAN);
• train the failure prediction model from the output of the first network using the provided generated sensor data and the real sensor data, the output of the first network comprising feature vectors;
• and
• deploy the failure prediction model with the first network, the deployed first network configured to intake the real sensor data to output the feature vectors to the failure prediction model.