{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T03:59:37Z","timestamp":1743047977574,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":6,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811367328"},{"type":"electronic","value":"9789811367335"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-981-13-6733-5_43","type":"book-chapter","created":{"date-parts":[[2019,4,3]],"date-time":"2019-04-03T22:33:44Z","timestamp":1554330824000},"page":"469-476","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Fault Diagnosis Model Established Based on RVM"],"prefix":"10.1007","author":[{"given":"Yahui","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"An","family":"Yun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinghong","family":"Ye","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunfeng","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,4,3]]},"reference":[{"key":"43_CR1","doi-asserted-by":"publisher","unstructured":"An, Y., Wang, Y.H., Zhang, F.C.: Research on gas pressure regulator fault diagnosis based on deep confidence network (DBN) theory. CAC (2017). \n                    https:\/\/doi.org\/10.1109\/cac.2017.824344","DOI":"10.1109\/cac.2017.824344"},{"issue":"22","key":"43_CR2","first-page":"1567","volume":"22","author":"Y Shen","year":"2012","unstructured":"Shen, Y., Ding, S.X., et al.: A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process. J. Process Control 22(22), 1567\u20131581 (2012)","journal-title":"J. Process Control"},{"issue":"9","key":"43_CR3","doi-asserted-by":"publisher","first-page":"4113","DOI":"10.1016\/j.eswa.2013.12.026","volume":"41","author":"VT Tran","year":"2014","unstructured":"Tran, V.T., Althobiani, F., Ball, A.: An approach to fault diagnosis of reciprocating compressor valves using Teager-Kaiser energy operator and deep belief networks. Expert Syst. Appl. 41(9), 4113\u20134122 (2014)","journal-title":"Expert Syst. Appl."},{"issue":"5","key":"43_CR4","doi-asserted-by":"publisher","first-page":"518","DOI":"10.1049\/iet-spr.2008.0195","volume":"4","author":"T Ishigaki","year":"2010","unstructured":"Ishigaki, T., Higuchi, T., Watanabe, K.: Fault detection of a vibration mechanism by spectrum classification with a divergence-based kernel. IET Signal Process. 4(5), 518\u2013529 (2010)","journal-title":"IET Signal Process."},{"key":"43_CR5","unstructured":"Ando, S., Kato, M.: Criticism of the Desmarais method for\u00a0kernel function\u00a0computation. Trans. Jpn. Soc. Aeronaut. Space Sci. 31(93), 161\u2013170 (1988)"},{"key":"43_CR6","doi-asserted-by":"crossref","unstructured":"Li, C., Sanchez, R.V., Zurita, G., et al.: Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis. Neurocomputing 168(C), 119\u2013127 (2015)","DOI":"10.1016\/j.neucom.2015.06.008"}],"container-title":["Advances in Intelligent Systems and Computing","Advancements in Smart City and Intelligent Building"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-13-6733-5_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,18]],"date-time":"2019-05-18T02:40:43Z","timestamp":1558147243000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-13-6733-5_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9789811367328","9789811367335"],"references-count":6,"URL":"https:\/\/doi.org\/10.1007\/978-981-13-6733-5_43","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"3 April 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICSCIB","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Smart City and Intelligent Building","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hefei","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icscib2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}