Systems And Method For Dimensionally Aware Rule Extraction

A method of determining quality of a production event comprising:

• obtaining production data comprising time series data;
• extracting a set of salient features of the time series data corresponding to a dimensionally aware model;
• determining a boundary equation for the production event;
• obtaining a classification value based on calculating the set of salient features into the boundary equation;
• when the classification value is within the boundary equation classifying the set of salient features as unacceptable;
• when the classification value is outside the boundary equation classifying the set of salient features as acceptable;
• and
• generating an indicator corresponding to the classification value.

A system for classifying weld quality comprising:

• at least one processor and a memory coupled to the at least one processor, wherein the memory stores:
• a dimensionally aware model generated based on a training set and guided by feature dimensions and
• instructions for execution by the at least one processor and wherein the instructions include, in response to receiving a set of time series data comprising power data corresponding to power consumed by an ultrasonic transducer, movement data corresponding to sonotip movement along a direction of a clamping force and acoustic data corresponding to a fixed ultrasonic microphone:
• identifying a set of features from the set of time series data;
• applying the dimensionally aware model to the set of features by implementing a plurality of a boundary representation;
• classifying the set of features as acceptable in response to the implementation of the boundary representation indicating the set of features are outside the boundary representation;
• classifying the set of features as unacceptable in response to the implementation of the boundary representation indicating the set of features are inside the boundary representation;
• and
• generating, for display on a user device, an alert based on the classification.