System and method with sequence modeling of sensor data for manufacturing

A system comprising:

• a processor;
• and
• a memory in data communication with the processor, the memory having computer readable data including instructions stored thereon that, when executed by the processor, cause the processor to perform a method for predictive measurement monitoring, the method including:
• establishing a station sequence that includes a plurality of stations that a given part traverses;
• generating a first set of embeddings, the first set of embeddings including (a) history measurement embeddings based on history measurement data, the history measurement data relating to attributes of one or more other parts that traversed the plurality of stations before the given part;
• (b) history part identifier embeddings based on one or more history part identifiers of the one or more other parts, and (c) history station identifier embeddings based on history station identifiers corresponding to the history measurement data;
• generating a second set of embeddings, the second set of embeddings including (a) measurement embeddings based on observed measurement data, the observed measurement data relating to attributes of the given part as obtained by one or more sensors at each station of a station subsequence of the station sequence;
• (b) part identifier embeddings based on a part identifier of the given part, and (c) station identifier embeddings based on station identifiers that corresponding to the observed measurement data;
• generating a history embedding sequence by concatenating the first set of embeddings;
• generating an input embedding sequence by concatenating the second set of embeddings;
• generating, via an encoding network, intermediate history features based on the history embedding sequence;
• and
• generating, via a decoding network, predicted measurement data based on the intermediate history features and the input embedding sequence,
• wherein the predicted measurement data includes next measurement data of the given part at a next station, the next station being after the station subsequence in the station sequence.

A non-transitory computer readable medium having computer readable data including instructions stored thereon that, when executed by a processor, cause the processor to perform a method for predictive measurement monitoring, the method including:

• establishing a station sequence that includes a plurality of stations that a given part traverses;
• generating a first set of embeddings, the first set of embeddings including (a) history measurement embeddings based on history measurement data, the history measurement data relating to attributes of one or more other parts that traversed the plurality of stations before the given part;
• (b) history part identifier embeddings based on one or more history part identifiers of the one or more other parts, and (c) history station identifier embeddings based on history station identifiers corresponding to the history measurement data;
• generating a second set of embeddings, the second set of embeddings including (a) measurement embeddings based on observed measurement data, the observed measurement data relating to attributes of the given part as obtained by one or more sensors at each station of a station subsequence of the station sequence;
• (b) part identifier embeddings based on a part identifier of the given part, and (c) station identifier embeddings based on station identifiers that corresponding to the observed measurement data;
• generating a history embedding sequence by concatenating the first set of embeddings;
• generating an input embedding sequence by concatenating the second set of embeddings;
• generating, via an encoding network, intermediate history features based on the history embedding sequence;
• and
• generating, via a decoding network, predicted measurement data based on the intermediate history features and the input embedding sequence,
• wherein the predicted measurement data includes next measurement data of the given part at a next station, the next station being after the station subsequence in the station sequence.