Loading…

Dynamical reliability analysis and remaining useful life prediction for an on-orbit satellite camera

Launch missions of small satellites have been increasing in recent years. As the main payload, the camera plays a pivotal role in remote sensing detection. Therefore, on-orbit health estimation is a continuous concern for satellite design. This study aims to develop a dynamic intelligent health esti...

Full description

Saved in:
Bibliographic Details
Published in:Advances in mechanical engineering 2022-08, Vol.14 (8)
Main Authors: Xie, Jingyan, Li, Yun-Ze, Yang, Lizhu, Sun, Yuehang, Yuan, Man, Ye, Binpeng
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c373t-dd2a8fe79bf329e07559d9a7203bb5a77ec791442e54fa8fb08ac7f3280a04813
container_end_page
container_issue 8
container_start_page
container_title Advances in mechanical engineering
container_volume 14
creator Xie, Jingyan
Li, Yun-Ze
Yang, Lizhu
Sun, Yuehang
Yuan, Man
Ye, Binpeng
description Launch missions of small satellites have been increasing in recent years. As the main payload, the camera plays a pivotal role in remote sensing detection. Therefore, on-orbit health estimation is a continuous concern for satellite design. This study aims to develop a dynamic intelligent health estimation algorithm for the on-orbit satellite camera. Based on fuzzy theory in the intelligent health estimation algorithm, the reliability and the remaining useful life are transformed into a newly defined health estimation index, namely “health vector,” which reflects camera health from the aspects of the electrical and mechanical parts. Compared with traditional methods, the new intelligent health estimation algorithm can not only judge the development direction of satellite camera’s health status, but also predict the degree of change. In addition, the proposed “health vector” is concise for engineers to monitor the health status of satellites in real time from the ground in multiple dimensions. In summary, this study provides a new method for on-orbit health management of satellite cameras.
doi_str_mv 10.1177/16878132221118253
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_76d90fcadb164b6b9911d6b484afbbd2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_16878132221118253</sage_id><doaj_id>oai_doaj_org_article_76d90fcadb164b6b9911d6b484afbbd2</doaj_id><sourcerecordid>2708188722</sourcerecordid><originalsourceid>FETCH-LOGICAL-c373t-dd2a8fe79bf329e07559d9a7203bb5a77ec791442e54fa8fb08ac7f3280a04813</originalsourceid><addsrcrecordid>eNp1kctOQyEQhk-MJja1D-COxPWpwLkAS1NvTZq40TUZbg0NPVQ4XfTtpdbUhXHFZPj-bwJTVbcEzwlh7J70nHHSUEoJIZx2zUU1OfZqTlp8ea4bel3NcvYKd7jHuBdiUpnHwwBbryGgZIMH5YMfDwgGCIfscylMudiCH_ywRvts3T6g4J1Fu2SN16OPA3IxFRDFoY5J-RFlGG0oHos0bG2Cm-rKQch29nNOq4_np_fFa716e1kuHla1blgz1sZQ4M4yoVxDhcWs64QRwChulOqAMauZIG1Lbde6QirMQbPCcgy4Le-bVsuT10TYyF3yW0gHGcHL70ZMawlp9DpYyXojsNNgFOlb1SshCDG9ankLTilDi-vu5Nql-Lm3eZSbuE_lW7KkDHPCOaNHipwonWLOybrzVILlcTfyz25KZn7KZFjbX-v_gS8-wo8a</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2708188722</pqid></control><display><type>article</type><title>Dynamical reliability analysis and remaining useful life prediction for an on-orbit satellite camera</title><source>SAGE Open Access</source><source>Publicly Available Content (ProQuest)</source><creator>Xie, Jingyan ; Li, Yun-Ze ; Yang, Lizhu ; Sun, Yuehang ; Yuan, Man ; Ye, Binpeng</creator><creatorcontrib>Xie, Jingyan ; Li, Yun-Ze ; Yang, Lizhu ; Sun, Yuehang ; Yuan, Man ; Ye, Binpeng</creatorcontrib><description>Launch missions of small satellites have been increasing in recent years. As the main payload, the camera plays a pivotal role in remote sensing detection. Therefore, on-orbit health estimation is a continuous concern for satellite design. This study aims to develop a dynamic intelligent health estimation algorithm for the on-orbit satellite camera. Based on fuzzy theory in the intelligent health estimation algorithm, the reliability and the remaining useful life are transformed into a newly defined health estimation index, namely “health vector,” which reflects camera health from the aspects of the electrical and mechanical parts. Compared with traditional methods, the new intelligent health estimation algorithm can not only judge the development direction of satellite camera’s health status, but also predict the degree of change. In addition, the proposed “health vector” is concise for engineers to monitor the health status of satellites in real time from the ground in multiple dimensions. In summary, this study provides a new method for on-orbit health management of satellite cameras.</description><identifier>ISSN: 1687-8132</identifier><identifier>EISSN: 1687-8140</identifier><identifier>DOI: 10.1177/16878132221118253</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Aerospace environments ; Algorithms ; Cameras ; Life prediction ; Reliability analysis ; Remote sensing ; Satellite design ; Satellites ; Small satellites ; Useful life</subject><ispartof>Advances in mechanical engineering, 2022-08, Vol.14 (8)</ispartof><rights>The Author(s) 2022</rights><rights>The Author(s) 2022. This work is licensed under the Creative Commons Attribution License https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c373t-dd2a8fe79bf329e07559d9a7203bb5a77ec791442e54fa8fb08ac7f3280a04813</cites><orcidid>0000-0003-2186-0176</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2708188722/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2708188722?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,21966,25753,27853,27924,27925,37012,44590,44945,45333,75126</link.rule.ids></links><search><creatorcontrib>Xie, Jingyan</creatorcontrib><creatorcontrib>Li, Yun-Ze</creatorcontrib><creatorcontrib>Yang, Lizhu</creatorcontrib><creatorcontrib>Sun, Yuehang</creatorcontrib><creatorcontrib>Yuan, Man</creatorcontrib><creatorcontrib>Ye, Binpeng</creatorcontrib><title>Dynamical reliability analysis and remaining useful life prediction for an on-orbit satellite camera</title><title>Advances in mechanical engineering</title><description>Launch missions of small satellites have been increasing in recent years. As the main payload, the camera plays a pivotal role in remote sensing detection. Therefore, on-orbit health estimation is a continuous concern for satellite design. This study aims to develop a dynamic intelligent health estimation algorithm for the on-orbit satellite camera. Based on fuzzy theory in the intelligent health estimation algorithm, the reliability and the remaining useful life are transformed into a newly defined health estimation index, namely “health vector,” which reflects camera health from the aspects of the electrical and mechanical parts. Compared with traditional methods, the new intelligent health estimation algorithm can not only judge the development direction of satellite camera’s health status, but also predict the degree of change. In addition, the proposed “health vector” is concise for engineers to monitor the health status of satellites in real time from the ground in multiple dimensions. In summary, this study provides a new method for on-orbit health management of satellite cameras.</description><subject>Aerospace environments</subject><subject>Algorithms</subject><subject>Cameras</subject><subject>Life prediction</subject><subject>Reliability analysis</subject><subject>Remote sensing</subject><subject>Satellite design</subject><subject>Satellites</subject><subject>Small satellites</subject><subject>Useful life</subject><issn>1687-8132</issn><issn>1687-8140</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>AFRWT</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp1kctOQyEQhk-MJja1D-COxPWpwLkAS1NvTZq40TUZbg0NPVQ4XfTtpdbUhXHFZPj-bwJTVbcEzwlh7J70nHHSUEoJIZx2zUU1OfZqTlp8ea4bel3NcvYKd7jHuBdiUpnHwwBbryGgZIMH5YMfDwgGCIfscylMudiCH_ywRvts3T6g4J1Fu2SN16OPA3IxFRDFoY5J-RFlGG0oHos0bG2Cm-rKQch29nNOq4_np_fFa716e1kuHla1blgz1sZQ4M4yoVxDhcWs64QRwChulOqAMauZIG1Lbde6QirMQbPCcgy4Le-bVsuT10TYyF3yW0gHGcHL70ZMawlp9DpYyXojsNNgFOlb1SshCDG9ankLTilDi-vu5Nql-Lm3eZSbuE_lW7KkDHPCOaNHipwonWLOybrzVILlcTfyz25KZn7KZFjbX-v_gS8-wo8a</recordid><startdate>202208</startdate><enddate>202208</enddate><creator>Xie, Jingyan</creator><creator>Li, Yun-Ze</creator><creator>Yang, Lizhu</creator><creator>Sun, Yuehang</creator><creator>Yuan, Man</creator><creator>Ye, Binpeng</creator><general>SAGE Publications</general><general>Sage Publications Ltd</general><general>SAGE Publishing</general><scope>AFRWT</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>L7M</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-2186-0176</orcidid></search><sort><creationdate>202208</creationdate><title>Dynamical reliability analysis and remaining useful life prediction for an on-orbit satellite camera</title><author>Xie, Jingyan ; Li, Yun-Ze ; Yang, Lizhu ; Sun, Yuehang ; Yuan, Man ; Ye, Binpeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c373t-dd2a8fe79bf329e07559d9a7203bb5a77ec791442e54fa8fb08ac7f3280a04813</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aerospace environments</topic><topic>Algorithms</topic><topic>Cameras</topic><topic>Life prediction</topic><topic>Reliability analysis</topic><topic>Remote sensing</topic><topic>Satellite design</topic><topic>Satellites</topic><topic>Small satellites</topic><topic>Useful life</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xie, Jingyan</creatorcontrib><creatorcontrib>Li, Yun-Ze</creatorcontrib><creatorcontrib>Yang, Lizhu</creatorcontrib><creatorcontrib>Sun, Yuehang</creatorcontrib><creatorcontrib>Yuan, Man</creatorcontrib><creatorcontrib>Ye, Binpeng</creatorcontrib><collection>SAGE Open Access</collection><collection>CrossRef</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Engineering Database</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Advances in mechanical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xie, Jingyan</au><au>Li, Yun-Ze</au><au>Yang, Lizhu</au><au>Sun, Yuehang</au><au>Yuan, Man</au><au>Ye, Binpeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamical reliability analysis and remaining useful life prediction for an on-orbit satellite camera</atitle><jtitle>Advances in mechanical engineering</jtitle><date>2022-08</date><risdate>2022</risdate><volume>14</volume><issue>8</issue><issn>1687-8132</issn><eissn>1687-8140</eissn><abstract>Launch missions of small satellites have been increasing in recent years. As the main payload, the camera plays a pivotal role in remote sensing detection. Therefore, on-orbit health estimation is a continuous concern for satellite design. This study aims to develop a dynamic intelligent health estimation algorithm for the on-orbit satellite camera. Based on fuzzy theory in the intelligent health estimation algorithm, the reliability and the remaining useful life are transformed into a newly defined health estimation index, namely “health vector,” which reflects camera health from the aspects of the electrical and mechanical parts. Compared with traditional methods, the new intelligent health estimation algorithm can not only judge the development direction of satellite camera’s health status, but also predict the degree of change. In addition, the proposed “health vector” is concise for engineers to monitor the health status of satellites in real time from the ground in multiple dimensions. In summary, this study provides a new method for on-orbit health management of satellite cameras.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1177/16878132221118253</doi><orcidid>https://orcid.org/0000-0003-2186-0176</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1687-8132
ispartof Advances in mechanical engineering, 2022-08, Vol.14 (8)
issn 1687-8132
1687-8140
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_76d90fcadb164b6b9911d6b484afbbd2
source SAGE Open Access; Publicly Available Content (ProQuest)
subjects Aerospace environments
Algorithms
Cameras
Life prediction
Reliability analysis
Remote sensing
Satellite design
Satellites
Small satellites
Useful life
title Dynamical reliability analysis and remaining useful life prediction for an on-orbit satellite camera
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T04%3A23%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Dynamical%20reliability%20analysis%20and%20remaining%20useful%20life%20prediction%20for%20an%20on-orbit%20satellite%20camera&rft.jtitle=Advances%20in%20mechanical%20engineering&rft.au=Xie,%20Jingyan&rft.date=2022-08&rft.volume=14&rft.issue=8&rft.issn=1687-8132&rft.eissn=1687-8140&rft_id=info:doi/10.1177/16878132221118253&rft_dat=%3Cproquest_doaj_%3E2708188722%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c373t-dd2a8fe79bf329e07559d9a7203bb5a77ec791442e54fa8fb08ac7f3280a04813%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2708188722&rft_id=info:pmid/&rft_sage_id=10.1177_16878132221118253&rfr_iscdi=true