{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,21]],"date-time":"2025-09-21T17:02:56Z","timestamp":1758474176250,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1109\/wcsp.2019.8927859","type":"proceedings-article","created":{"date-parts":[[2019,12,27]],"date-time":"2019-12-27T17:06:26Z","timestamp":1577466386000},"page":"1-7","source":"Crossref","is-referenced-by-count":11,"title":["Rolling Bearing Fault Feature Extraction and Diagnosis Method Based on MODWPT and DBN"],"prefix":"10.1109","author":[{"given":"Xiao","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaohong","family":"Ren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong","family":"Wan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shoupeng","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Enjie","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2014.06.003"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.12.018"},{"key":"ref12","first-page":"1","article-title":"Real-Time Power Measurement Using the Maximal Overlap Discrete Wavelet-Packet Transform","volume":"pp","author":"alves","year":"2016","journal-title":"J IEEE Transactions on Industrial Electronics"},{"key":"ref13","article-title":"Using unbiased autocorrelation to enhance kurtogram and envelope analysis results for rolling element bearing diagnostics","author":"moshrefzadeh","year":"0","journal-title":"The International Conference Surveillance"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2773460"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2015.2460242"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/792584"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"1772","DOI":"10.1016\/j.proeng.2014.12.329","article-title":"Bearing Fault Diagnosis using Wavelet Packet Transform, Hybrid PSO and Support Vector Machine *","volume":"97","author":"rajeswari","year":"0","journal-title":"J Procedia Engineering"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2603784"},{"key":"ref19","first-page":"504","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"hinton","year":"2006","journal-title":"J science"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"3768","DOI":"10.1109\/TIE.2015.2417501","article-title":"A Survey of Fault Diagnosis and Fault-Tolerant Techniques-Part II: Fault Diagnosis With Knowledge-Based and Hybrid\/Active Approaches","volume":"62","author":"gao","year":"2015","journal-title":"IEEE Transactions on Industrial Electronics"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2015.2417501"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"27869","DOI":"10.3390\/s151127869","article-title":"A Novel Characteristic Frequency Bands Extraction Method for Automatic Bearing Fault Diagnosis Based on Hilbert Huang Transform","volume":"15","author":"xiao","year":"2015","journal-title":"J Sensors"},{"key":"ref5","first-page":"2587","article-title":"Rolling bearing fault state recognition method based on HHT and Supervised Sparse Coding","author":"xiao","year":"2015","journal-title":"JOURNAL OF CHINA COAL SOCIETY"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2014.09.002"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.microrel.2017.03.007"},{"key":"ref2","first-page":"16","article-title":"Survey on data driven fault diagnosis methods","author":"han","year":"2011","journal-title":"J Control and Decision"},{"key":"ref1","first-page":"1946","article-title":"Fault feature extraction and diagnosis method based on deep belief network","author":"guangquan","year":"2016","journal-title":"J Chinese Journal of Scientific Instrument"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"1066","DOI":"10.1016\/j.jsv.2005.03.007","article-title":"Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics","volume":"289","author":"qiu","year":"2006","journal-title":"J Sound and Vibration"},{"key":"ref20","first-page":"1946","article-title":"Fault feature extraction and diagnosis method based on deep belief network","author":"guangquan","year":"2016","journal-title":"J Chinese Journal of Scientific Instrument"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2017.1397804"}],"event":{"name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","start":{"date-parts":[[2019,10,23]]},"location":"Xi'an, China","end":{"date-parts":[[2019,10,25]]}},"container-title":["2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8914721\/8927844\/08927859.pdf?arnumber=8927859","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T03:26:14Z","timestamp":1598239574000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8927859\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/wcsp.2019.8927859","relation":{},"subject":[],"published":{"date-parts":[[2019,10]]}}}