{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10496469","patent":{"patent_number":"US-10496469","title":"Orchestrator reporting of probability of downtime from machine learning process","assignee":null,"inventors":[],"filing_date":"2018-07-24T00:00:00.000Z","publication_date":"2019-12-03T00:00:00.000Z","cpc_codes":["G06F","B60W","B60W","B60W","B60W","B60W","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","B60W","G06F","G06F","G06F","G06F","G06F","G06N"],"num_claims":18,"abstract":"Disclosed embodiments relate to reporting Electronic Control Unit (ECU) errors or faults to a remote monitoring server. Operations may include receiving operational data from a plurality of ECUs in the vehicle, the operational data being indicative of a plurality of runtime attributes of the plurality of ECUs; generating, through a machine learning process, a statistical model of the operational data; receiving live, runtime updates from the plurality of ECUs in the communications network of the vehicle; identifying an ECU error associated with an ECU in the communications network of the vehicle, the ECU error being determined by a comparison of the live, runtime updates with the statistical model of the operational data to identify at least one deviation from the operational data; and wirelessly sending a report to the remote monitoring server based on the live, runtime updates, the report identifying the ECU and the identified ECU error."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Orchestrator reporting of probability of downtime from machine learning process","description":"Disclosed embodiments relate to reporting Electronic Control Unit (ECU) errors or faults to a remote monitoring server. Operations may include receiving operational data from a plurality of ECUs in th","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10496469","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-10496469","citation_suggestion":"Patentable. \"Orchestrator reporting of probability of downtime from machine learning process\" (US-10496469). https://patentable.app/patents/US-10496469","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10496469","json":"https://patentable.app/api/llm-context/US-10496469","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T01:35:04.440Z"}