{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T14:48:23Z","timestamp":1775746103060,"version":"3.50.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51505096"],"award-info":[{"award-number":["51505096"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1430236"],"award-info":[{"award-number":["U1430236"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["201806680066"],"award-info":[{"award-number":["201806680066"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2935404","type":"journal-article","created":{"date-parts":[[2019,8,14]],"date-time":"2019-08-14T16:01:17Z","timestamp":1565798477000},"page":"118381-118387","source":"Crossref","is-referenced-by-count":6,"title":["A Bayesian Inference Method and its Application in Fatigue Crack Life Prediction"],"prefix":"10.1109","volume":"7","author":[{"given":"Dongyan","family":"Shi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0343-7510","authenticated-orcid":false,"given":"Hui","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.engfracmech.2018.08.009"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s12206-014-0903-y"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-017-1823-0"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1115\/1.4039387"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1111\/ffe.12756"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/s17102362"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"1569","DOI":"10.1177\/1056789517737132","article-title":"Probabilistic fatigue life prediction and reliability assessment of a high pressure turbine disc considering load variations","volume":"27","author":"zhu","year":"2018","journal-title":"Int J Damage Mech"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.anucene.2017.10.026"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1177\/1063293X15600894"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijfatigue.2017.03.031"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2018.2871756"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1177\/1056789518786031"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04014-1"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1177\/1687814016673976"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1111\/risa.12347"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-015-0723-5"},{"key":"ref15","first-page":"145","author":"klein","year":"2012","journal-title":"Sensor and Data Fusion A Tool for Information Assessment and Decision Making"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15923-7_2"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2018.2868496"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2307\/3315430"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2011.04.011"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-018-1993-4"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.engfracmech.2012.09.013"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2017.10.006"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/4536906"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2734138"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1111\/ffe.12772"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11043-017-9361-0"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2015.10.002"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.probengmech.2013.08.004"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1177\/1550147719841295"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1038\/nature14541","article-title":"Probabilistic machine learning and artificial intelligence","volume":"521","author":"ghahramani","year":"2015","journal-title":"Nature"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2893884"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35527-1_22"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1115\/1.4029756"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1111\/ffe.12906"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)BE.1943-5592.0000611"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijfatigue.2018.04.006"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijfatigue.2019.05.005"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijfatigue.2018.03.028"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijfatigue.2017.06.019"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijfatigue.2018.09.019"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmecsci.2018.04.050"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2018.2803623"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1177\/1687814018783410"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08798638.pdf?arnumber=8798638","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:31:07Z","timestamp":1641987067000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8798638\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2935404","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}