Systems, and methods for diagnosing an additive manufacturing device using a physics assisted machine learning model

At least one non-transitory machine readable medium comprising instructions to cause at least one processor to at least:

• select at least one classifier based on physics features to be monitored for an additive manufacturing device, the at least one classifier formed from a model combined with at least one physics feature extracted from a first output of the additive manufacturing device;
• determine a respective threshold for each physics feature, the threshold associated with the respective at least one classifier;
• evaluate, using the at least one classifier and the respective threshold for each physics feature, data from operation of the additive manufacturing device to determine whether any respective threshold is exceeded;
• classify operation of the additive manufacturing device based on the determination of whether any respective threshold is exceeded;
• generate a second output based on the classification, the second output to adjust at least one of the additive manufacturing device or the at least one classifier;
• and
• adjust the additive manufacturing device based on the second output.

A method comprising:

• selecting, by executing an instruction using processor circuitry, at least one classifier based on physics features to be monitored for an additive manufacturing device, the at least one classifier formed from a model combined with at least one physics feature extracted from a first output of the additive manufacturing device;
• determining, by executing an instruction using processor circuitry, a respective threshold for each physics feature, the threshold associated with the respective at least one classifier;
• evaluating, using the at least one classifier and the respective threshold for each physics feature, data from operation of the additive manufacturing device to determine whether any respective threshold is exceeded;
• classifying, by executing an instruction using processor circuitry, operation of the additive manufacturing device based on the determination of whether any respective threshold is exceeded;
• generating, by executing an instruction using processor circuitry, a second output based on the classification, the second output to adjust at least one of the additive manufacturing device or the at least one classifier;
• and
• adjusting the additive manufacturing device based on the second output.