{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9652723","patent":{"patent_number":"US-9652723","title":"Electrical transformer failure prediction","assignee":null,"inventors":[],"filing_date":"2016-06-06T00:00:00.000Z","publication_date":"2017-05-16T00:00:00.000Z","cpc_codes":["G06N","G05B","G05B","G06F","G06N","G06N"],"num_claims":30,"abstract":"A computing device predicts a probability of a transformer failure. An analysis type indicator defined by a user is received. A worth value for each of a plurality of variables is computed. Highest worth variables from the plurality of variables are selected based on the computed worth values. A number of variables of the highest worth variables is limited to a predetermined number based on the received analysis type indicator. A first model and a second model are also selected based on the received analysis type indicator. Historical electrical system data is partitioned into a training dataset and a validation dataset that are used to train and validate, respectively, the first model and the second model. A probability of failure model is selected as the first model or the second model based on a comparison between a fit of each model."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Electrical transformer failure prediction","description":"A computing device predicts a probability of a transformer failure. An analysis type indicator defined by a user is received. A worth value for each of a plurality of variables is computed. Highest wo","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9652723","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-9652723","citation_suggestion":"Patentable. \"Electrical transformer failure prediction\" (US-9652723). https://patentable.app/patents/US-9652723","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9652723","json":"https://patentable.app/api/llm-context/US-9652723","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T05:39:49.119Z"}