{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11966217","patent":{"patent_number":"US-11966217","title":"Faulty variable identification technique for data-driven fault detection within a process plant","assignee":null,"inventors":[],"filing_date":"2020-12-23T00:00:00.000Z","publication_date":"2024-04-23T00:00:00.000Z","cpc_codes":["G05B","G05B","G05B","G06F","G06T","G05B","G05B","G05B","G05B","G05B","G05B","G05B","G06F"],"num_claims":20,"abstract":"A real-time control system includes a faulty variable identification technique to implement a data-driven fault detection function that provides an operator with information that enables a higher level of situational awareness of the current and likely future operating conditions of the process plant. The faulty variable identification technique enables an operator to recognize when a process plant component is behaving abnormally to potentially take action, in a current time step, to alleviate the underlying cause of the problem, thus reducing the likelihood of or preventing a stall of the process control system or a failure of the process plant component."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Faulty variable identification technique for data-driven fault detection within a process plant","description":"A real-time control system includes a faulty variable identification technique to implement a data-driven fault detection function that provides an operator with information that enables a higher leve","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11966217","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-11966217","citation_suggestion":"Patentable. \"Faulty variable identification technique for data-driven fault detection within a process plant\" (US-11966217). https://patentable.app/patents/US-11966217","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11966217","json":"https://patentable.app/api/llm-context/US-11966217","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T21:10:34.051Z"}