{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11507072","patent":{"patent_number":"US-11507072","title":"Systems, and methods for diagnosing an additive manufacturing device using a physics assisted machine learning model","assignee":null,"inventors":[],"filing_date":"2021-07-27T00:00:00.000Z","publication_date":"2022-11-22T00:00:00.000Z","cpc_codes":["G05B","G05B","G05B","G05B","G05B","G05B","G05B","G05B","G05B"],"num_claims":20,"abstract":"A system for diagnosing an additive manufacturing device is provided. The system includes a first module configured to: obtain one or more parameters for a digital twin of a component of the additive manufacturing device based on raw data from the component of the additive manufacturing device; and generate physics features for the digital twin of the component of the additive manufacturing device based on the one or more parameters and one or more transfer functions, a second module configured to obtain one or more classifiers for classifying the component as a first condition or a second condition based on physics features; and a third module configured to: determine a health of the component based on the generated physics features of the first model and the one or more classifiers."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Systems, and methods for diagnosing an additive manufacturing device using a physics assisted machine learning model","description":"A system for diagnosing an additive manufacturing device is provided. The system includes a first module configured to: obtain one or more parameters for a digital twin of a component of the additive ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11507072","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11507072","citation_suggestion":"Patentable. \"Systems, and methods for diagnosing an additive manufacturing device using a physics assisted machine learning model\" (US-11507072). https://patentable.app/patents/US-11507072","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11507072","json":"https://patentable.app/api/llm-context/US-11507072","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T21:22:27.262Z"}