{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11494654","patent":{"patent_number":"US-11494654","title":"Method for machine failure prediction using memory depth values","assignee":null,"inventors":[],"filing_date":"2017-07-07T00:00:00.000Z","publication_date":"2022-11-08T00:00:00.000Z","cpc_codes":["G06N","G06N","G05B","G05B"],"num_claims":11,"abstract":"Embodiments of the invention provide a method and system for machine failure prediction. The method comprises: identifying a plurality of basic memory depth values based on a composite sequence of machine failure history; ascertaining weight values for at least one of the identified basic memory depth values according to a pre-stored table which includes a plurality of mappings wherein each mapping relates a basic memory depth value to one set of weight values; and predicting a future failure using a Back Propagation Through Time (BPTT) trained Recurrent Neural Network (RNN) based on the ascertained weight values, wherein weight values related to a first basic memory depth value in the pre-stored table is ascertained based on a second set of weight values related to a second basic memory depth value which is less than the first basic memory depth value by a predetermined value."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Method for machine failure prediction using memory depth values","description":"Embodiments of the invention provide a method and system for machine failure prediction. The method comprises: identifying a plurality of basic memory depth values based on a composite sequence of mac","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11494654","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-11494654","citation_suggestion":"Patentable. \"Method for machine failure prediction using memory depth values\" (US-11494654). https://patentable.app/patents/US-11494654","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11494654","json":"https://patentable.app/api/llm-context/US-11494654","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T18:50:07.343Z"}