{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11474163","patent":{"patent_number":"US-11474163","title":"Power transformer winding fault positioning method based on deep convolutional neural network integrated with visual identification","assignee":null,"inventors":[],"filing_date":"2019-12-30T00:00:00.000Z","publication_date":"2022-10-18T00:00:00.000Z","cpc_codes":["G06F","G06N","G06N"],"num_claims":10,"abstract":"The disclosure discloses a power transformer winding fault positioning method based on deep convolutional neural network integrated with visual identification, including 1) a winding equivalent circuit is established, and a transfer function thereof is calculated; 2) a sine wave excitation source is set at one end of the power transformer winding to obtain the amplitude-frequency characteristic curve of each winding node; 3) circuits under various fault statuses are subjected to scanning frequency response analysis to extract amplitude-frequency characteristics; 4) a feature matrix is established based on the obtained amplitude-frequency characteristics; 5) scanning frequency response analysis is performed on the diagnosed power transformer to form a feature matrix; 6) the feature matrix is converted into an image, simulation and historical detection data are used as a training set, and a deep convolutional neural network is input for training; 7) diagnosed transformer is subjected to fault classification and positioning."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Power transformer winding fault positioning method based on deep convolutional neural network integrated with visual identification","description":"The disclosure discloses a power transformer winding fault positioning method based on deep convolutional neural network integrated with visual identification, including 1) a winding equivalent circui","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11474163","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-11474163","citation_suggestion":"Patentable. \"Power transformer winding fault positioning method based on deep convolutional neural network integrated with visual identification\" (US-11474163). https://patentable.app/patents/US-11474163","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11474163","json":"https://patentable.app/api/llm-context/US-11474163","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T00:17:35.810Z"}