{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11294365","patent":{"patent_number":"US-11294365","title":"Estimation methods of actuator faults based on bayesian learning","assignee":null,"inventors":[],"filing_date":"2021-08-04T00:00:00.000Z","publication_date":"2022-04-05T00:00:00.000Z","cpc_codes":["G05B","G05B","G05B","G06F","G06N"],"num_claims":9,"abstract":"The present disclosure relates to estimation methods of actuator faults based on Bayesian learning. An actuator fault is modeled based on a random walking model, and a joint posterior probability distribution of a system state variable and the actuator fault is represented using two mutually independent hypothesis distributions based on a variational Bayesian theory; a system state variable and an actuator fault of a system at a moment are predicted at a moment; and a predicted system state variable and a predicted actuator fault are iteratively updated at the moment according to the Bayesian theory to output an estimated value of the system state variable at the moment, a variance of the estimated value and an estimated value of the actuator fault at the moment and a variance of the estimated value."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Estimation methods of actuator faults based on bayesian learning","description":"The present disclosure relates to estimation methods of actuator faults based on Bayesian learning. An actuator fault is modeled based on a random walking model, and a joint posterior probability dist","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11294365","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-11294365","citation_suggestion":"Patentable. \"Estimation methods of actuator faults based on bayesian learning\" (US-11294365). https://patentable.app/patents/US-11294365","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11294365","json":"https://patentable.app/api/llm-context/US-11294365","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T18:06:43.839Z"}