{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11972398","patent":{"patent_number":"US-11972398","title":"Machine learning powered anomaly detection for maintenance work orders","assignee":null,"inventors":[],"filing_date":"2021-07-23T00:00:00.000Z","publication_date":"2024-04-30T00:00:00.000Z","cpc_codes":["G06Q","G06N","G06N","G06Q","G06Q"],"num_claims":20,"abstract":"An industrial work order analysis system applies statistical and machine learning analytics to both open and closed work orders to identify problems and abnormalities that could impact manufacturing and maintenance operations. The analysis system applies algorithms to learn normal maintenance behaviors or characteristics for different types of maintenance tasks and to flag abnormal maintenance behaviors that deviate significantly from normal maintenance procedures. Based on this analysis, embodiments of the work order analysis system can identify unnecessarily costly maintenance procedures or practices, as well as predict asset failures and offer enterprise-specific recommendations intended to reduce machine downtime and optimize the maintenance process."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Machine learning powered anomaly detection for maintenance work orders","description":"An industrial work order analysis system applies statistical and machine learning analytics to both open and closed work orders to identify problems and abnormalities that could impact manufacturing a","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11972398","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-11972398","citation_suggestion":"Patentable. \"Machine learning powered anomaly detection for maintenance work orders\" (US-11972398). https://patentable.app/patents/US-11972398","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11972398","json":"https://patentable.app/api/llm-context/US-11972398","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T15:09:39.335Z"}