Systems and methods of sensor data fusion

A method for sensor data fusion for sensor management and utilization in advanced manufacturing, comprising:

• providing at least one computer processor including a memory;
• providing at least one curation engine, at least one link engine, at least one fusion engine, at least one inference engine, and at least one validation engine;
• at least one temperature sensor capturing temperature measurement data of at least one workpiece;
• at least one vibration sensor capturing vibration measurement data from the at least one workpiece;
• analyzing by the at least one computer processor the temperature measurement data and the vibration measurement data;
• receiving by the at least one computer processor at least one query;
• curating by the at least one curation engine the temperature measurement data and the vibration measurement data, to create curated temperature measurement data and curated vibration measurement data, linking by the at least one link engine the curated temperature measurement data and the curated vibration measurement data, fusing by the at least one fusion engine the curated temperature measurement data and the curated vibration measurement data, determining by the at least one inference engine at least one inference from the curated temperature measurement data and the curated vibration measurement data, and validating by the at least one validation engine the curated temperature measurement data and the curated vibration measurement data;
• linking by the at least one link engine the curated temperature measurement data and the curated vibration measurement data based in part on at least one temperature property and/or at least one temperature sub-property and at least one vibration property and/or at least one vibration sub-property;
• calculating by the at least one link engine a conditional entropy between the at least one temperature property and/or the at least one temperature sub-property and the at least one vibration property and/or the at least one vibration sub-property based in part on the at least one query;
• determining by the at least one link engine if the link between the at least one temperature property and/or the at least one temperature sub-property and the at least one vibration property and/or the at least one vibration sub-property is a non-existent link, a weak link, or a strong link via the conditional entropy;
• creating by the at least one fusion engine at least one new data set;
• instructing by the at least one computer processor a torch to move based on the at least one new data set;
• and
• welding by the torch the at least one workpiece.

A system for sensor data fusion for sensor management and utilization in advanced manufacturing, comprising:

• at least one computer processor including a memory;
• at least one curation engine, at least one link engine, at least one fusion engine, at least one inference engine, and at least one validation engine;
• and
• at least two sensors, a first of the at least two sensors operable to measure temperature data of at least one workpiece and a second of the at least two sensors operable to measure vibration data of the at least one workpiece;
• wherein the at least one computer processor is operable to analyze the temperature data and the vibration data;
• wherein the at least one computer processor is operable to receive at least one query;
• wherein the at least one curation engine is operable to curate the temperature data and the vibration data, creating curated temperature data and curated vibration data, the at least one link engine is operable to link the curated temperature data and the curated vibration data, the at least one fusion engine is operable to fuse the curated temperature data and the curated vibration data, the at least one inference engine is operable to determine at least one inference from the curated temperature data and the curated vibration data, and the at least one validation engine is operable to validate the curated temperature data and the curated vibration data;
• wherein the at least one link engine is operable to link the curated temperature data and the curated vibration data based in part on at least one temperature property and/or at least one temperature sub-property and at least one vibration property and/or at least one vibration sub-property;
• wherein the at least one temperature property and/or the at least one temperature sub-property is the same as the at least one vibration property and/or the at least one vibration sub-property;
• wherein the at least one link engine is operable to calculate a conditional entropy between the at least one temperature property and/or the at least one temperature sub-property and the at least one vibration property and/or the at least one vibration sub-property based in part on the at least one query;
• wherein the at least one link engine is operable to determine if the link between the at least one temperature property and/or the at least one temperature sub-property and the at least one vibration property and/or the at least one vibration sub-property is a non-existent link, a weak link, or a strong link via the conditional entropy;
• wherein the at least one fusion engine creates at least one new data set;
• wherein the at least one computer processor is operable to instruct movement of a torch based on the at least one new data set;
• and
• wherein the torch is operable to weld the at least one workpiece.