Method and system for root cause identification of faults in manufacturing and process industries

This invention describes a computer program that helps manufacturing plants figure out why things are going wrong. It takes in various types of data, both live and historical, from different machines and sensors. The program then creates a visual map showing how different factors influence each other, and uses a special technique to trace back through this map to pinpoint the original cause of a problem, even if the relationships are circular.

Why it matters: Filed before advanced causal AI and graph neural networks became more accessible, which could automate the generation of causal maps and reduce the reliance on human experts that was a challenge in 2022.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, data science, causal modeling

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