{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T22:30:57Z","timestamp":1766269857675,"version":"3.41.2"},"reference-count":42,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,4,17]],"date-time":"2019-04-17T00:00:00Z","timestamp":1555459200000},"content-version":"vor","delay-in-days":106,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51741907","51409095"],"award-info":[{"award-number":["51741907","51409095"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002861","name":"China Three Gorges University","doi-asserted-by":"publisher","award":["2019SSPY070"],"award-info":[{"award-number":["2019SSPY070"]}],"id":[{"id":"10.13039\/501100002861","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2019,1]]},"abstract":"<jats:p>As a crucial and widely used component in industrial fields with great complexity, the health condition of rotating machinery is directly related to production efficiency and safety. Consequently, recognizing and diagnosing rotating machine faults remain to be one of the main concerns in preventing failures of mechanical systems, which can enhance the reliability and efficiency of mechanical systems. In this paper, a novel approach based on blind parameter identification of MAR model and mutation hybrid GWO\u2010SCA optimization is proposed to diagnose faults for rotating machinery. Signals collected from different types of faults were firstly split into sets of intrinsic mode functions (IMFs) by variational mode decomposition (VMD), the decomposing mode number <jats:italic>K<\/jats:italic> of which was preset with central frequency observation method. Then the multivariate autoregressive (MAR) model of all IMFs was established, whose order was determined by Schwartz Bayes Criterion (SBC), and all parameters of the model were identified blindly through QR decomposition, where key features were subsequently extracted via principal component analysis (PCA) to construct feature vectors of different fault types. Afterwards, a hybrid optimization algorithm combining mutation operator, grey wolf optimizer (GWO), and sine cosine algorithm (SCA), termed mutation hybrid GWO\u2010SCA (MHGWOSCA), was proposed for parameter selection of support vector machine (SVM). The optimal SVM model was later employed to classify different fault samples. The engineering application and contrastive analysis indicate the availability and superiority of the proposed method.<\/jats:p>","DOI":"10.1155\/2019\/3264969","type":"journal-article","created":{"date-parts":[[2019,4,17]],"date-time":"2019-04-17T23:52:40Z","timestamp":1555545160000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":43,"title":["Blind Parameter Identification of MAR Model and Mutation Hybrid GWO\u2010SCA Optimized SVM for Fault Diagnosis of Rotating Machinery"],"prefix":"10.1155","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4084-1085","authenticated-orcid":false,"given":"Wenlong","family":"Fu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0035-0997","authenticated-orcid":false,"given":"Jiawen","family":"Tan","sequence":"additional","affiliation":[]},{"given":"Xiaoyuan","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Tie","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Kai","family":"Wang","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2019,4,17]]},"reference":[{"key":"e_1_2_9_1_2","first-page":"103","article-title":"Vibration feature extraction and analysis for fault diagnosis of rotating machinery-a literature survey","volume":"5","author":"Riaz S.","year":"2017","journal-title":"Asia Pacific Journal of Multidisciplinary Research"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/2169364"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2015.02.008"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2016.2581139"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.3390\/e20090626"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/3049318"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apacoust.2014.08.016"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2016.08.022"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.3390\/e19050231"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/9154682"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.3390\/su11061804"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/aaf377"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10877-006-9013-4"},{"key":"e_1_2_9_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2724561"},{"key":"e_1_2_9_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2013.06.011"},{"key":"e_1_2_9_16_2","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/7356189"},{"key":"e_1_2_9_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2695583"},{"key":"e_1_2_9_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2015.10.007"},{"key":"e_1_2_9_19_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207217.2017.1378382"},{"key":"e_1_2_9_20_2","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/aa53a0"},{"key":"e_1_2_9_21_2","doi-asserted-by":"publisher","DOI":"10.21595\/jve.2017.18380"},{"key":"e_1_2_9_22_2","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/5826873"},{"key":"e_1_2_9_23_2","article-title":"A sensor dynamic measurement error prediction model based on NAPSO-SVM","volume":"18","author":"Jiang M.","year":"2018","journal-title":"Sensors"},{"key":"e_1_2_9_24_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.12.022"},{"key":"e_1_2_9_25_2","first-page":"120","article-title":"Grey wolf optimizer","volume":"69","author":"Mirjalili S.","year":"2013","journal-title":"Knowledge-Based Systems"},{"key":"e_1_2_9_26_2","doi-asserted-by":"publisher","DOI":"10.1108\/COMPEL-09-2015-0337"},{"key":"e_1_2_9_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.07.043"},{"key":"e_1_2_9_28_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2019.02.086"},{"key":"e_1_2_9_29_2","doi-asserted-by":"publisher","DOI":"10.1109\/tsp.2013.2288675"},{"key":"e_1_2_9_30_2","doi-asserted-by":"publisher","DOI":"10.1137\/110860185"},{"key":"e_1_2_9_31_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.06.089"},{"key":"e_1_2_9_32_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"e_1_2_9_33_2","doi-asserted-by":"publisher","DOI":"10.1145\/382043.382304"},{"key":"e_1_2_9_34_2","doi-asserted-by":"crossref","unstructured":"FuW. TanJ. andLiQ. Feature extraction for fault diagnosis utilizing blind parameter identification of MAR model Proceedings of the International Conference on Sensing Diagnostics Prognostics and Control 2018 Xi\u2032an China https:\/\/doi.org\/10.1109\/SDPC.2018.8664968.","DOI":"10.1109\/SDPC.2018.8664968"},{"key":"e_1_2_9_35_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jestch.2017.11.001"},{"key":"e_1_2_9_36_2","doi-asserted-by":"publisher","DOI":"10.1109\/tevc.2012.2196047"},{"key":"e_1_2_9_37_2","unstructured":"Bearing Data Center of the Case Western Reserve University http:\/\/csegroups.case.edu\/bearingdatacenter\/pages\/download-data-file."},{"key":"e_1_2_9_38_2","doi-asserted-by":"publisher","DOI":"10.1109\/tetc.2014.2330519"},{"key":"e_1_2_9_39_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.05.030"},{"key":"e_1_2_9_40_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.09.064"},{"key":"e_1_2_9_41_2","doi-asserted-by":"crossref","unstructured":"MaruatonaO. VamplewP. DazeleyR. andWattersP. A. Evaluating accuracy in prudence analysis for cyber security Proceedings of the International Conference on Neural Information Processing 2017 407\u2013417.","DOI":"10.1007\/978-3-319-70139-4_41"},{"key":"e_1_2_9_42_2","doi-asserted-by":"publisher","DOI":"10.3390\/e19010014"}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2019\/3264969.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2019\/3264969.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2019\/3264969","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T12:30:44Z","timestamp":1723033844000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2019\/3264969"}},"subtitle":[],"editor":[{"given":"Marcin","family":"Mrugalski","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2019,1]]},"references-count":42,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,1]]}},"alternative-id":["10.1155\/2019\/3264969"],"URL":"https:\/\/doi.org\/10.1155\/2019\/3264969","archive":["Portico"],"relation":{},"ISSN":["1076-2787","1099-0526"],"issn-type":[{"type":"print","value":"1076-2787"},{"type":"electronic","value":"1099-0526"}],"subject":[],"published":{"date-parts":[[2019,1]]},"assertion":[{"value":"2019-01-14","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-03-27","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2019-04-17","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"3264969"}}