{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,12,22]],"date-time":"2022-12-22T01:13:02Z","timestamp":1671671582691},"reference-count":15,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Adv. Adapt. Data Anal."],"published-print":{"date-parts":[[2013,10]]},"abstract":"<jats:p> Traditional engine waveform analysis in time-domain fails to perform an accurate fault diagnosis when the fault waveform is very close to the normal waveform in time domain. A novel engine waveform analysis method is presented. In this paper, the aim is to perform fault diagnosis efficiently under such circumstances. This method is proposed by combining a new technique, called sensitive frequency band (SFB) selection, with the developed Hilbert\u2013Huang transform (HHT). This can alleviate \"mode mixing\" by removing noise from the engine waveforms and reveal the time\u2013frequency characteristics for a signal by deriving its time\u2013frequency spectrum (TFS) distribution. The method is then applied to analyze the engine injector-pulse-width waveforms, and it works well for signal noise reduction and fault diagnosis. <\/jats:p>","DOI":"10.1142\/s1793536913500180","type":"journal-article","created":{"date-parts":[[2013,11,12]],"date-time":"2013-11-12T07:52:06Z","timestamp":1384242726000},"page":"1350018","source":"Crossref","is-referenced-by-count":1,"title":["METHOD FOR ENGINE WAVEFORM ANALYSIS AND FAULT DIAGNOSIS BASED ON SFB AND HHT"],"prefix":"10.1142","volume":"05","author":[{"given":"SHUXIA","family":"JIANG","sequence":"first","affiliation":[{"name":"School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China"},{"name":"School of Traffic and Logistics, Central South University of Forestry and Technology, Changsha 410004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"YIPING","family":"LUO","sequence":"additional","affiliation":[{"name":"School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"YUANYUAN","family":"LIU","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Central South University, Changsha 410075, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2013,11,17]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1142\/S179353691350012X"},{"key":"rf2","first-page":"280","volume":"17","author":"Fu Q. Y.","year":"2004","journal-title":"J. Vib. Eng."},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1098\/rspa.1998.0193"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1088\/0957-0233\/20\/12\/125701"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/KEM.291-292.655"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2009.06.012"},{"key":"rf9","volume-title":"A Wavelet Tour of Signal Processing: The Sparse Way","author":"Mallat S.","year":"2008"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2004.01.006"},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2009.02.008"},{"key":"rf14","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2011.07.013"},{"key":"rf16","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.01.058"},{"key":"rf17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ndteint.2005.09.002"},{"key":"rf18","doi-asserted-by":"publisher","DOI":"10.1142\/S1793536909000047"},{"key":"rf19","doi-asserted-by":"publisher","DOI":"10.1006\/mssp.2002.1482"},{"key":"rf20","volume-title":"Circuit Waveform Analysis Electronic of Control Diesel","author":"Zhu J.","year":"2003"}],"container-title":["Advances in Adaptive Data Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S1793536913500180","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T04:08:10Z","timestamp":1565150890000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S1793536913500180"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,10]]},"references-count":15,"journal-issue":{"issue":"04","published-online":{"date-parts":[[2013,11,17]]},"published-print":{"date-parts":[[2013,10]]}},"alternative-id":["10.1142\/S1793536913500180"],"URL":"https:\/\/doi.org\/10.1142\/s1793536913500180","relation":{},"ISSN":["1793-5369","1793-7175"],"issn-type":[{"value":"1793-5369","type":"print"},{"value":"1793-7175","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,10]]}}}