{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T04:01:30Z","timestamp":1780027290963,"version":"3.53.1"},"reference-count":15,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T00:00:00Z","timestamp":1779321600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Reliability Engineering &amp; System Safety"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.ress.2026.112906","type":"journal-article","created":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T15:14:49Z","timestamp":1779376489000},"page":"112906","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Intelligent prediction of cylinder head cracking in commercial vehicle natural gas engines using hybrid modeling approaches"],"prefix":"10.1016","volume":"276","author":[{"given":"Han","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guo","family":"Ping","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Zhenlei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wang","family":"Bingxin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Wangfeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ress.2026.112906_bib0001","doi-asserted-by":"crossref","unstructured":"Mobley, K.R. An introduction to predictive maintenance (2nd Edition) [J]. 2002:114\u201371. DOI:10.1016\/b978-075067531-4\/50007-5.","DOI":"10.1016\/B978-075067531-4\/50007-5"},{"issue":"6","key":"10.1016\/j.ress.2026.112906_bib0002","doi-asserted-by":"crossref","first-page":"1529","DOI":"10.1016\/j.ymssp.2009.12.004","article-title":"Model-based diagnosis of large diesel engines based on angular speed variations of the crankshaft","volume":"24","author":"Desbazeille","year":"2010","journal-title":"Mech Syst Signal Process"},{"issue":"2","key":"10.1016\/j.ress.2026.112906_bib0003","first-page":"01","article-title":"A review on engine fault diagnosis through vibration analysis","volume":"9","author":"Mahrousa","year":"2022","journal-title":"Int J Recent Technol Mech Electr Eng"},{"key":"10.1016\/j.ress.2026.112906_bib0004","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1016\/j.ymssp.2017.06.033","article-title":"Vibro-acoustic condition monitoring of internal combustion engines: a critical review of existing techniques","volume":"99","author":"Delvecchio","year":"2018","journal-title":"Mech Syst Signal Process"},{"key":"10.1016\/j.ress.2026.112906_bib0005","doi-asserted-by":"crossref","DOI":"10.1088\/2631-8695\/ac4834","article-title":"Research on fault diagnosis of automobile engines based on the deep learning 1D-CNN method","volume":"4","author":"Du","year":"2022","journal-title":"Eng Res Express"},{"key":"10.1016\/j.ress.2026.112906_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2021.107864","article-title":"Predictive maintenance enabled by machine learning: use cases and challenges in the automotive industry","volume":"215","author":"Theissler","year":"2021","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112906_bib0007","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ress.2017.11.021","article-title":"Remaining useful life estimation in prognostics using deep convolution neural networks","volume":"172","author":"Li","year":"2018","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112906_bib0008","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2026.112396","article-title":"Domain knowledge-enhanced dual-stream graph joint learning network for aeroengine remaining useful life prediction","volume":"274","author":"Liu","year":"2026","journal-title":"Reliab Eng Syst Saf"},{"issue":"1","key":"10.1016\/j.ress.2026.112906_bib0009","doi-asserted-by":"crossref","DOI":"10.1201\/9781003407072","article-title":"Feature-prediction dual-space domain generalization framework for reliable RUL prediction of machinery","volume":"272","author":"Li","year":"2026","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112906_bib0010","series-title":"International Congress on Automotive and Transport Engineering","article-title":"Failure mode avoidance paradigm In automotive engineering design","author":"Campean","year":"2010"},{"issue":"2","key":"10.1016\/j.ress.2026.112906_bib0011","doi-asserted-by":"crossref","first-page":"222","DOI":"10.4271\/2017-01-0298","article-title":"Failure mode avoidance approach for hybrid electric vehicle systems","volume":"10","author":"Allen","year":"2017","journal-title":"Sae Int J Engines"},{"issue":"1","key":"10.1016\/j.ress.2026.112906_bib0012","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1198\/004017004000000077","article-title":"Operating window: an engineering measure for robustness","volume":"46","author":"Clausing","year":"2004","journal-title":"Technometrics"},{"key":"10.1016\/j.ress.2026.112906_bib0013","doi-asserted-by":"crossref","first-page":"7051","DOI":"10.3390\/s22187051","article-title":"Safe driving distance and speed for collision avoidance in connected vehicles","volume":"22","author":"Elsagheer Mohamed","year":"2022","journal-title":"Sensors"},{"key":"10.1016\/j.ress.2026.112906_bib0014","article-title":"Study of customer correlation rig test spectrum of charge air cooler of semi-trailer truck","volume":"135","year":"2022","journal-title":"Eng Fail Anal"},{"key":"10.1016\/j.ress.2026.112906_bib0015","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.mechatronics.2015.06.013","article-title":"Online and real-time monitoring system for remaining service life estimation of automotive transmissions \u2013 Application to a manual transmission","volume":"30","author":"Foulard","year":"2015","journal-title":"Mechatronics"}],"container-title":["Reliability Engineering &amp; System Safety"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0951832026007167?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0951832026007167?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T03:06:11Z","timestamp":1780023971000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0951832026007167"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":15,"alternative-id":["S0951832026007167"],"URL":"https:\/\/doi.org\/10.1016\/j.ress.2026.112906","relation":{},"ISSN":["0951-8320"],"issn-type":[{"value":"0951-8320","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Intelligent prediction of cylinder head cracking in commercial vehicle natural gas engines using hybrid modeling approaches","name":"articletitle","label":"Article Title"},{"value":"Reliability Engineering & System Safety","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ress.2026.112906","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Author(s). Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"112906"}}