{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,7]],"date-time":"2026-06-07T21:32:03Z","timestamp":1780867923655,"version":"3.54.1"},"reference-count":74,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,7,30]],"date-time":"2022-07-30T00:00:00Z","timestamp":1659139200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006041","name":"Innovate UK","doi-asserted-by":"publisher","award":["76940"],"award-info":[{"award-number":["76940"]}],"id":[{"id":"10.13039\/501100006041","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2022,7,30]]},"abstract":"<jats:p>Digital twin (DT), aiming to characterise behaviors of physical entities by leveraging the virtual replica in real time, is an emerging technology and paradigm at the forefront of the Industry 4.0 revolution. The implementation of DT in predictive maintenance has facilitated its growth. As a major component of predictive maintenance, condition monitoring (CM) has great potential to combine with DT. To describe the state-of-the-art of DT-driven CM, this paper delivers a systematic review on the theoretical and practical development of DT in advancing CM. The evolution of concepts, main research areas, applied domains, and related key technologies are summarised. The driver of DT for CM is detailed in three aspects: data support, capability enhancement, and maintenance mode shift. The implementation process of DT-driven CM is introduced from the classification of DT modelling and the extension of monitoring algorithms. Finally, current challenges and opportunities for future research are discussed especially concerning the barriers and gaps in data management, high-fidelity modelling, behavior characterisation, framework standardisation, and uncertainty quantification.<\/jats:p>","DOI":"10.1155\/2022\/6129995","type":"journal-article","created":{"date-parts":[[2022,7,31]],"date-time":"2022-07-31T00:20:09Z","timestamp":1659226809000},"page":"1-13","source":"Crossref","is-referenced-by-count":33,"title":["Digital Twin-Driven Machine Condition Monitoring: A Literature Review"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6120-5144","authenticated-orcid":true,"given":"He","family":"Liu","sequence":"first","affiliation":[{"name":"College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8057-9654","authenticated-orcid":true,"given":"Min","family":"Xia","sequence":"additional","affiliation":[{"name":"Department of Engineering, Lancaster University, Lancaster LA1 4YW, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Darren","family":"Williams","sequence":"additional","affiliation":[{"name":"The Welding Institute, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianzhong","family":"Sun","sequence":"additional","affiliation":[{"name":"College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8675-6121","authenticated-orcid":true,"given":"Hongsheng","family":"Yan","sequence":"additional","affiliation":[{"name":"College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2022.01.348"},{"key":"2","article-title":"The digital twin paradigm for future NASA and U.S","volume-title":"Air Force Vehicles","author":"E. Glaessgen","year":"2012"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2998358"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.3390\/app12020688"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.3390\/rs14061335"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2021.103558"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2020.106889"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2021.3058061"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3056867"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jppr.2021.09.001"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1533\/9780857096067.3.515"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-803194-0.00006-4"},{"key":"13","volume-title":"Mechanical Vibrations and Condition Monitoring","author":"J. C. J. Correa","year":"2020"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1115\/1.3159378"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1177\/0954406215623311"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3094312"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1177\/0959651820954577"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2020.06.017"},{"key":"19","doi-asserted-by":"crossref","article-title":"The digital twin paradigm for future NASA and U.S. Air Force vehicles","author":"E. H. Glaessgen","DOI":"10.2514\/6.2012-1818"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1016\/J.ENG.2017.04.009"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-018-0946-5"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.3390\/systems7010007"},{"key":"23","doi-asserted-by":"crossref","article-title":"Toward predictive digital twins via component-based reduced-order models and interpretable machine learning","author":"M. G. Kapteyn","DOI":"10.2514\/6.2020-0418"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-021-06976-w"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3147602"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2895516"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2020.103335"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.2514\/1.J055201"},{"key":"29","doi-asserted-by":"crossref","DOI":"10.2514\/6.2017-0863","volume-title":"The Development and Use of a Digital Twin Model for Tire Touchdown Health Monitoring","author":"A. J. Zakrajsek","year":"2017"},{"key":"30","doi-asserted-by":"crossref","article-title":"A simulation-based digital twin for model-driven health monitoring and predictive maintenance of an automotive braking system","author":"R. Magargle","DOI":"10.3384\/ecp1713235"},{"key":"31","doi-asserted-by":"publisher","DOI":"10.1016\/j.cirp.2018.04.055"},{"key":"32","doi-asserted-by":"crossref","DOI":"10.1115\/GT2018-76414","article-title":"Fleet monitoring and diagnostics framework based on digital twin of aero-engines","volume-title":"Turbo Expo: Power for Land, Sea, and Air","author":"V. Zaccaria","year":"2018"},{"key":"33","doi-asserted-by":"crossref","article-title":"Drilling automated realtime monitoring using digital twin","author":"M. Gholami Mayani","DOI":"10.2118\/192807-MS"},{"key":"34","doi-asserted-by":"crossref","article-title":"The true digital twin concept for fatigue re-assessment of marine structures","author":"U. T. Tygesen","DOI":"10.1115\/OMAE2018-77915"},{"key":"35","doi-asserted-by":"crossref","article-title":"On digital twin condition monitoring approach for drivetrains in marine applications","author":"S. S. Johansen","DOI":"10.1115\/OMAE2019-95152"},{"key":"36","doi-asserted-by":"publisher","DOI":"10.1080\/25726668.2019.1569367"},{"key":"37","doi-asserted-by":"publisher","DOI":"10.1049\/iet-epa.2018.5732"},{"key":"38","doi-asserted-by":"crossref","article-title":"A unified digital twin framework for real-time monitoring and evaluation of smart manufacturing systems","author":"Y. Qamsane","DOI":"10.1109\/COASE.2019.8843269"},{"key":"39","article-title":"A real-time mechanical structures monitoring system based on digital twin","author":"R. Revetria"},{"key":"40","article-title":"A digital twin framework for performance monitoring and anomaly detection in fused deposition modeling","author":"E. C. Balta"},{"key":"41","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-018-0911-3"},{"key":"42","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2020.3009600"},{"key":"43","doi-asserted-by":"publisher","DOI":"10.1016\/j.engfailanal.2020.104517"},{"key":"44","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2020.110077"},{"key":"45","doi-asserted-by":"publisher","DOI":"10.3390\/sym12081307"},{"key":"46","doi-asserted-by":"publisher","DOI":"10.1016\/j.engfracmech.2020.107076"},{"key":"47","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3001686"},{"key":"48","doi-asserted-by":"publisher","DOI":"10.1016\/j.est.2020.101557"},{"key":"49","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2020.3017355"},{"key":"50","doi-asserted-by":"crossref","article-title":"Gas turbine performance digital twin for real-time embedded systems","author":"V. Panov","DOI":"10.1115\/GT2020-14664"},{"key":"51","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2020.1817999"},{"key":"52","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2020.07.005"},{"key":"53","doi-asserted-by":"publisher","DOI":"10.3390\/sym13081438"},{"key":"54","doi-asserted-by":"publisher","DOI":"10.1016\/j.promfg.2021.10.020"},{"key":"55","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2021.103961"},{"key":"56","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2021.11.144"},{"key":"57","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2021.108087"},{"key":"58","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2022.01.252"},{"key":"59","doi-asserted-by":"publisher","DOI":"10.1016\/j.anucene.2022.109002"},{"key":"60","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2021.108222"},{"key":"61","doi-asserted-by":"publisher","DOI":"10.3390\/w14040514"},{"key":"62","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2019.101837"},{"key":"63","doi-asserted-by":"publisher","DOI":"10.3103\/S1068798X22020137"},{"key":"64","doi-asserted-by":"crossref","article-title":"Engine fleet-management: the use of digital twins from a MRO perspective","author":"J. Kraft","DOI":"10.1115\/GT2017-63336"},{"key":"65","article-title":"Geometry to support a gas turbine digital twin","author":"W. N. Dawes"},{"key":"66","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2933676"},{"key":"67","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2020.08.001"},{"key":"68","doi-asserted-by":"crossref","article-title":"Integration of 3D-CFD component simulation into overall engine performance analysis for engine condition monitoring purposes","author":"C. Klein","DOI":"10.1115\/GT2018-75719"},{"key":"69","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2022.108809"},{"key":"70","doi-asserted-by":"publisher","DOI":"10.1177\/1468087421998635"},{"key":"71","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2019.106612"},{"key":"72","doi-asserted-by":"publisher","DOI":"10.3390\/app10238541"},{"key":"73","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/3469465"},{"key":"74","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2019.119299"}],"container-title":["Journal of Sensors"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2022\/6129995.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2022\/6129995.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/js\/2022\/6129995.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,31]],"date-time":"2022-07-31T00:20:17Z","timestamp":1659226817000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/js\/2022\/6129995\/"}},"subtitle":[],"editor":[{"given":"Xueliang","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2022,7,30]]},"references-count":74,"alternative-id":["6129995","6129995"],"URL":"https:\/\/doi.org\/10.1155\/2022\/6129995","relation":{},"ISSN":["1687-7268","1687-725X"],"issn-type":[{"value":"1687-7268","type":"electronic"},{"value":"1687-725X","type":"print"}],"subject":[],"published":{"date-parts":[[2022,7,30]]}}}