{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:33:33Z","timestamp":1777703613971,"version":"3.51.4"},"reference-count":33,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2018,6,22]],"date-time":"2018-06-22T00:00:00Z","timestamp":1529625600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2018,6,22]]},"abstract":"<jats:p>Vibration signals generated from gears often exhibit nonlinearity. Characterization of such signals using nonlinear time series analysis can be a good alternative for identifying gear faults. This paper presets a recurrence network based approach to extract features from vibration signals for gear fault diagnosis. Quantitative parameters (such as mean degree centrality, global clustering coefficient, assortativity of the recurrence network, or network entropy) related to the dynamical complexity of the vibration signals are calculated from the generated recurrence network to help classify different gear faults with two kinds of classifiers, i.e., support vector machine and extreme learning machine. Experimental studies performed on two different gear test systems have verified the effectiveness of the presented recurrence network approach for gear fault severity evaluation, as well as gear fault classification.<\/jats:p>","DOI":"10.3233\/jifs-169540","type":"journal-article","created":{"date-parts":[[2018,6,26]],"date-time":"2018-06-26T14:54:50Z","timestamp":1530024890000},"page":"3651-3660","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Gear fault diagnosis based on recurrence network"],"prefix":"10.1177","volume":"34","author":[{"given":"Jing","family":"Meng","sequence":"first","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liye","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruqiang","family":"Yan","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2018,6,22]]},"reference":[{"issue":"3","key":"e_1_3_2_2_2","first-page":"101","article-title":"Vibration analysis techniques for gearbox diagnostic: A review","volume":"1","author":"Aherwar A.","year":"2012","unstructured":"AherwarA., KhalidS., Vibration analysis techniques for gearbox diagnostic: A review, Int J Adv Eng Technol E1 (3) (2012), 101\u2013113.","journal-title":"Int J Adv Eng Technol E"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s100510050067"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2010.05.018"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2005.10.009"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.1997.641482"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2004.02.029"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.77.066104"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICIECS.2009.5363456"},{"key":"e_1_3_2_10_2","unstructured":"DiwakarG. SatyanarayanaM.R.S. KumarP.R. Detection of gear fault using vibration analysis 2014."},{"issue":"3","key":"e_1_3_2_11_2","first-page":"129","article-title":"Recurrence networks - Anovel paradigm for nonlinear time series analysis","volume":"12","author":"Donner R.V.","year":"2009","unstructured":"DonnerR.V., ZouY., DongesJ.F., . Recurrence networks - Anovel paradigm for nonlinear time series analysis, New Journal of Physics12 (3) (2009), 129\u2013132.","journal-title":"New Journal of Physics"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.33.1134"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.79.066303"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2002.1021904"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2006.875977"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2011.2168604"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.45.3403"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1080\/00018730601170527"},{"key":"e_1_3_2_19_2","first-page":"1859","volume-title":"IEEE International Joint Conference on Neural Networks","author":"Lan Y.","year":"2008","unstructured":"LanY., SohY.C., HuangG.B., Extreme learning machine based bacterial protein subcellular localization prediction, IEEE International Joint Conference on Neural Networks. IEEE, 2008, 1859\u20131863."},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2006.11.001"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11668-014-9860-0"},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.89.208701"},{"key":"e_1_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2009.02.008"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2011.0623"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.01.010"},{"key":"e_1_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.07.089"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1140\/epjst\/e2008-00833-5"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-02469-6_84"},{"key":"e_1_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physleta.2014.10.005"},{"issue":"3","key":"e_1_3_2_30_2","first-page":"578","article-title":"Rolling bearings fault diagnosis based on recurrence complex network","volume":"35","author":"Sun B.","year":"2015","unstructured":"SunB., LiangC., ShangD., Rolling bearings fault diagnosis based on recurrence complex network, Journal of Vibration Measurement & Diagnosis35 (3) (2015)578\u2013584.","journal-title":"Journal of Vibration Measurement & Diagnosis"},{"issue":"6","key":"e_1_3_2_31_2","first-page":"1010","article-title":"Complex network in application of rotor faultdiagnosis","volume":"32","author":"Bin S.","year":"2012","unstructured":"BinS., DaS., Complex network in application of rotor faultdiagnosis, Journal of Vibration, Measurement & Diagnosis32 (6) (2012), 1010\u20131015.","journal-title":"Journal of Vibration, Measurement & Diagnosis"},{"key":"e_1_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0091924"},{"key":"e_1_3_2_33_2","doi-asserted-by":"crossref","unstructured":"WuJ. TanY.J. DengH.Z. . A new measure of heterogeneity of complex networks based on degree sequence 2010 66\u201373.","DOI":"10.1007\/978-3-540-85081-6_9"},{"key":"e_1_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.97.238103"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-169540","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-169540","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-169540","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:39:08Z","timestamp":1777455548000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-169540"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,22]]},"references-count":33,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2018,6,22]]}},"alternative-id":["10.3233\/JIFS-169540"],"URL":"https:\/\/doi.org\/10.3233\/jifs-169540","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6,22]]}}}