An Improved Wavelet Packet-Chaos Model for Life Prediction of Space Relays Based on Volterra Series
In this paper, an improved algorithm of wavelet packet-chaos model for life prediction of space relays based on volterra series is proposed. In the proposed method, the high and low frequency time sequence components of performance parameters are obtained by employing the improved wavelet packet tra...
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| Veröffentlicht in: | PloS one 2016-06, Vol.11 (6), p.e0158435-e0158435 |
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| creator | Li, Lingling Han, Ye Chen, Wenyuan Lv, Congmin Sun, Dongwang |
| description | In this paper, an improved algorithm of wavelet packet-chaos model for life prediction of space relays based on volterra series is proposed. In the proposed method, the high and low frequency time sequence components of performance parameters are obtained by employing the improved wavelet packet transform to decompose the performance parameters of the relay into multiple scales. Then the optimization algorithm of parameters in volterra series is improved, and is used to construct a chaotic forecasting model for the high and low frequency time sequence components gained by the wavelet packet transform. At last, the chaotic forecasting results of the high and low frequency components are combined by taking the wavelet packet reconstruction approach, so as to predict the lifetime of the studied space relay. The algorithm can predict the life curve of the relay accurately and reflect the characteristics of the relay performance with sufficient accuracy. The proposed method is validated via a case study of a space relay. |
| doi_str_mv | 10.1371/journal.pone.0158435 |
| format | Article |
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In the proposed method, the high and low frequency time sequence components of performance parameters are obtained by employing the improved wavelet packet transform to decompose the performance parameters of the relay into multiple scales. Then the optimization algorithm of parameters in volterra series is improved, and is used to construct a chaotic forecasting model for the high and low frequency time sequence components gained by the wavelet packet transform. At last, the chaotic forecasting results of the high and low frequency components are combined by taking the wavelet packet reconstruction approach, so as to predict the lifetime of the studied space relay. The algorithm can predict the life curve of the relay accurately and reflect the characteristics of the relay performance with sufficient accuracy. The proposed method is validated via a case study of a space relay.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0158435</identifier><identifier>PMID: 27355578</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Algorithms ; Analysis ; Automation ; Computer and Information Sciences ; Decomposition ; Electrical engineering ; Extraterrestrial Environment ; Forecasting ; International conferences ; Life prediction ; Low frequencies ; Mathematical models ; Methods ; Models, Theoretical ; Nonlinear Dynamics ; Optimization ; Optimization theory ; Parameters ; Physical Sciences ; Quality of life ; Relay ; Reproducibility of Results ; Research and Analysis Methods ; Signal processing ; Signal Processing, Computer-Assisted ; Software engineering ; Statistics as Topic ; Time series ; Wavelet Analysis ; Wavelet transforms</subject><ispartof>PloS one, 2016-06, Vol.11 (6), p.e0158435-e0158435</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2016 Li et al 2016 Li et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c725t-ef1e2032fc65e042b4a04ccea58a79b50929435160b3525792107aca34d5a4a93</citedby><cites>FETCH-LOGICAL-c725t-ef1e2032fc65e042b4a04ccea58a79b50929435160b3525792107aca34d5a4a93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4927151/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4927151/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27355578$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Wang, Yuanquan</contributor><creatorcontrib>Li, Lingling</creatorcontrib><creatorcontrib>Han, Ye</creatorcontrib><creatorcontrib>Chen, Wenyuan</creatorcontrib><creatorcontrib>Lv, Congmin</creatorcontrib><creatorcontrib>Sun, Dongwang</creatorcontrib><title>An Improved Wavelet Packet-Chaos Model for Life Prediction of Space Relays Based on Volterra Series</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>In this paper, an improved algorithm of wavelet packet-chaos model for life prediction of space relays based on volterra series is proposed. In the proposed method, the high and low frequency time sequence components of performance parameters are obtained by employing the improved wavelet packet transform to decompose the performance parameters of the relay into multiple scales. Then the optimization algorithm of parameters in volterra series is improved, and is used to construct a chaotic forecasting model for the high and low frequency time sequence components gained by the wavelet packet transform. At last, the chaotic forecasting results of the high and low frequency components are combined by taking the wavelet packet reconstruction approach, so as to predict the lifetime of the studied space relay. The algorithm can predict the life curve of the relay accurately and reflect the characteristics of the relay performance with sufficient accuracy. The proposed method is validated via a case study of a space relay.</description><subject>Algorithms</subject><subject>Analysis</subject><subject>Automation</subject><subject>Computer and Information Sciences</subject><subject>Decomposition</subject><subject>Electrical engineering</subject><subject>Extraterrestrial Environment</subject><subject>Forecasting</subject><subject>International conferences</subject><subject>Life prediction</subject><subject>Low frequencies</subject><subject>Mathematical models</subject><subject>Methods</subject><subject>Models, Theoretical</subject><subject>Nonlinear Dynamics</subject><subject>Optimization</subject><subject>Optimization theory</subject><subject>Parameters</subject><subject>Physical Sciences</subject><subject>Quality of life</subject><subject>Relay</subject><subject>Reproducibility of Results</subject><subject>Research and Analysis Methods</subject><subject>Signal processing</subject><subject>Signal Processing, 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One</addtitle><date>2016-06-29</date><risdate>2016</risdate><volume>11</volume><issue>6</issue><spage>e0158435</spage><epage>e0158435</epage><pages>e0158435-e0158435</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>In this paper, an improved algorithm of wavelet packet-chaos model for life prediction of space relays based on volterra series is proposed. In the proposed method, the high and low frequency time sequence components of performance parameters are obtained by employing the improved wavelet packet transform to decompose the performance parameters of the relay into multiple scales. Then the optimization algorithm of parameters in volterra series is improved, and is used to construct a chaotic forecasting model for the high and low frequency time sequence components gained by the wavelet packet transform. At last, the chaotic forecasting results of the high and low frequency components are combined by taking the wavelet packet reconstruction approach, so as to predict the lifetime of the studied space relay. The algorithm can predict the life curve of the relay accurately and reflect the characteristics of the relay performance with sufficient accuracy. The proposed method is validated via a case study of a space relay.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27355578</pmid><doi>10.1371/journal.pone.0158435</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Analysis Automation Computer and Information Sciences Decomposition Electrical engineering Extraterrestrial Environment Forecasting International conferences Life prediction Low frequencies Mathematical models Methods Models, Theoretical Nonlinear Dynamics Optimization Optimization theory Parameters Physical Sciences Quality of life Relay Reproducibility of Results Research and Analysis Methods Signal processing Signal Processing, Computer-Assisted Software engineering Statistics as Topic Time series Wavelet Analysis Wavelet transforms |
| title | An Improved Wavelet Packet-Chaos Model for Life Prediction of Space Relays Based on Volterra Series |
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