{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T18:17:34Z","timestamp":1730225854577,"version":"3.28.0"},"reference-count":29,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,5]]},"DOI":"10.1109\/i2mtc.2018.8409638","type":"proceedings-article","created":{"date-parts":[[2018,7,30]],"date-time":"2018-07-30T19:02:41Z","timestamp":1532977361000},"page":"1-5","source":"Crossref","is-referenced-by-count":2,"title":["Feature-difference sparse filtering for bearing health monitoring"],"prefix":"10.1109","author":[{"given":"Wei","family":"Xiong","sequence":"first","affiliation":[]},{"given":"Qingbo","family":"He","sequence":"additional","affiliation":[]},{"given":"Kesai","family":"Ouyang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.11.019"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.apacoust.2014.08.016"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2014.08.006"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2016.2570568"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2008.03.010"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2006.07.014"},{"key":"ref16","first-page":"265","article-title":"On optimization methods for deep learning","author":"ngiam","year":"0","journal-title":"Proceedings of the 28th International Conference on Machine Learning (ICML-11)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref18","first-page":"1125","article-title":"Sparse filtering","author":"ngiam","year":"2011","journal-title":"Advances in neural information processing systems"},{"key":"ref19","first-page":"1","author":"zennaro","year":"2016","journal-title":"Towards Understanding Sparse Filtering A Theoretical Perspective"},{"key":"ref28","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":"Journal of Sound and Vibration"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2004.11.002"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1023\/B:LIDA.0000036389.14073.dd"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.06.012"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1115\/1.1596552"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICIT.2015.7125351"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2010.03.011"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2008.05.011"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2004.08.001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/9780470977668"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2011.03.026"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2005.09.012"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2519325"},{"journal-title":"MinFunc-unconstrained Differentiable Multivariate Optimization in Matlab","year":"2005","author":"schmidt","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.09.018"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2016.06.031"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1155\/2007\/73629"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/I2MTC.2016.7520449"},{"key":"ref25","first-page":"3203","article-title":"Deep learning of invariant features via simulated fixations in video","author":"zou","year":"2012","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC )","start":{"date-parts":[[2018,5,14]]},"location":"Houston, TX, USA","end":{"date-parts":[[2018,5,17]]}},"container-title":["2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8401508\/8409512\/08409638.pdf?arnumber=8409638","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,7,31]],"date-time":"2018-07-31T07:46:17Z","timestamp":1533023177000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8409638\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/i2mtc.2018.8409638","relation":{},"subject":[],"published":{"date-parts":[[2018,5]]}}}