{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T05:56:37Z","timestamp":1761630997430,"version":"3.40.3"},"publisher-location":"Cham","reference-count":5,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031081354"},{"type":"electronic","value":"9783031081361"}],"license":[{"start":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T00:00:00Z","timestamp":1656460800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T00:00:00Z","timestamp":1656460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-08136-1_39","type":"book-chapter","created":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:02:46Z","timestamp":1656450166000},"page":"251-257","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["No-Load Transformers: Vibration Spectra Analysis by Deep Learning Methods for Loose Windings Detection"],"prefix":"10.1007","author":[{"given":"Valerio","family":"Rucconi","sequence":"first","affiliation":[]},{"given":"Letizia","family":"De Maria","sequence":"additional","affiliation":[]},{"given":"Daniele","family":"Bartalesi","sequence":"additional","affiliation":[]},{"given":"Bau","family":"Valecillos","sequence":"additional","affiliation":[]},{"given":"Simone","family":"Garatti","sequence":"additional","affiliation":[]},{"given":"Sergio","family":"Bittanti","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,29]]},"reference":[{"key":"39_CR1","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1109\/TPWRD.2005.852275","volume":"21","author":"B Garc\u00eda","year":"2005","unstructured":"Garc\u00eda, B., Burgos, J.C., Alonso, A.M.: Transformer tank vibration modeling as a method of detecting winding deformations-part II: experimental verification. IEEE Trans. Power Delivery 21, 164\u2013169 (2005)","journal-title":"IEEE Trans. Power Delivery"},{"key":"39_CR2","doi-asserted-by":"crossref","unstructured":"Hu, Y., Zheng, J., Huang, H.: Experimental research on power transformer vibration distribution under different winding defect conditions. Electronics 8(842), 1\u201319 (2019)","DOI":"10.3390\/electronics8080842"},{"key":"39_CR3","doi-asserted-by":"publisher","DOI":"10.1002\/9781119546405","volume-title":"Model Identification and Data Analysis","author":"S Bittanti","year":"2019","unstructured":"Bittanti, S.: Model Identification and Data Analysis. Wiley, Hoboken (2019)"},{"key":"39_CR4","doi-asserted-by":"crossref","unstructured":"Rucconi, V., De Maria, L., Garatti, S., Bartalesi, D., Valecillos, B., Bittanti, S.: Deep learning for fault detection in transformers using vibration data. In: SYSid Conference, 13\u201316 July 2021 (2021)","DOI":"10.1016\/j.ifacol.2021.08.369"},{"issue":"2","key":"39_CR5","first-page":"205","volume":"87","author":"J Shengchang","year":"2011","unstructured":"Shengchang, J., Lingyu, Z., Yanming, L.: Study on transformer tank vibration charactistics in the field and its application. Przegl\u0105d Elektrotechniczny 87(2), 205\u2013211 (2011)","journal-title":"Przegl\u0105d Elektrotechniczny"}],"container-title":["Lecture Notes in Electrical Engineering","Sensors and Microsystems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-08136-1_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:14:00Z","timestamp":1656450840000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-08136-1_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,29]]},"ISBN":["9783031081354","9783031081361"],"references-count":5,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-08136-1_39","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"type":"print","value":"1876-1100"},{"type":"electronic","value":"1876-1119"}],"subject":[],"published":{"date-parts":[[2022,6,29]]},"assertion":[{"value":"29 June 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AISEM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"AISEM Annual Conference on Sensors and Microsystems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 February 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 February 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aisem2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}