{"8323dbffa180e8b216840866ae6379eeannettegugel":{"DOI":"","ISBN":"","ISSN":"","URL":"","abstract":"","annote":"","author":[{"family":"Tahir","given":"Mehran"},{"family":"Tenbohlen","given":"Stefan"}],"citation-label":"tahir2021transformer","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Energies 2021","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2021","5"]],"literal":"2021"},"event-place":"","id":"8323dbffa180e8b216840866ae6379eeannettegugel","interhash":"b222651f1d1c70d89f194f65d082f9a1","intrahash":"8323dbffa180e8b216840866ae6379ee","issue":"3227","issued":{"date-parts":[["2021","5"]],"literal":"2021"},"keyword":"Artificial Assessment Condition Feedforward Frequency Measurements. Network Neural Response Transformer Using Winding and","note":"","number":"3227","page":"","page-first":"","publisher":"","publisher-place":"","status":"","title":"Transformer Winding Condition Assessment Using Feedforward Artificial Neural Network and Frequency Response Measurements.","type":"article-journal","username":"annettegugel","version":"","volume":"14"}}