Reliability assessment of phased-mission systems under random shocks

•A reliability model for PMS subject to random shocks is proposed.•MRGP is used to deal with the dynamic non-exponential components.•A MC simulation procedure is proposed to evaluate PMS subject to random shocks.•The result confirms the importance of considering random shocks in PMS reliability. Pha...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Reliability engineering & system safety 2018-12, Vol.180, p.352-361
Hauptverfasser: Li, Xiang-Yu, Li, Yan-Feng, Huang, Hong-Zhong, Zio, Enrico
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 361
container_issue
container_start_page 352
container_title Reliability engineering & system safety
container_volume 180
creator Li, Xiang-Yu
Li, Yan-Feng
Huang, Hong-Zhong
Zio, Enrico
description •A reliability model for PMS subject to random shocks is proposed.•MRGP is used to deal with the dynamic non-exponential components.•A MC simulation procedure is proposed to evaluate PMS subject to random shocks.•The result confirms the importance of considering random shocks in PMS reliability. Phased-mission systems (PMSs) are widely used, especially in the aerospace industry. As in the outer space there are many kinds of cosmic rays, such as the Galactic Cosmic Rays (GCR), randomly hitting on these systems and causing significant impact on the electronics inside or outside the equipment, a reliability model for PMSs considering both finite and infinite random shocks is proposed in this paper. The modularization method is used to simplify the state space model for each phase and reduce the amount of system states, and the Markov regenerative process (MRGP) is used to describe the hybrid components’ lifetime distributions and the dynamic behaviors within the modules. Then, two kinds of scenarios, finite and infinite random shocks effect, are both integrated into the dynamic modules. For demonstration, a phased altitude and orbit control system (AOCS) subjected to infinite random shocks is illustrated to demonstrate the procedure of the proposed Monte Carlo simulation. Thirdly, the evaluated system reliability under infinite random shocks is compared with the same system without considering random shocks. At last, a sensitivity analysis is also provided for completion.
doi_str_mv 10.1016/j.ress.2018.08.002
format Article
fullrecord <record><control><sourceid>elsevier_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_01988937v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0951832017305392</els_id><sourcerecordid>S0951832017305392</sourcerecordid><originalsourceid>FETCH-LOGICAL-c378t-2727a556bc189c97ecd14b9f250e2529db3559aed3b0ad2ab67fa66e29d13e5a3</originalsourceid><addsrcrecordid>eNp9kM1Lw0AQxRdRsFb_AU-5ekic3XSzWfBS6keFgiB6Xja7E7o1H2UnFvrfm1DxKDwYmHm_B_MYu-WQceDF_S6LSJQJ4GUGo0CcsRkvlU6hzItzNgMteVrmAi7ZFdEOABZaqhl7fMcm2Co0YTgmlmhMabEbkr5O9ltL6NM2EIW-S-hIA7aUfHceYxJt5_s2oW3vvuiaXdS2Ibz5nXP2-fz0sVqnm7eX19Vyk7pclUMqlFBWyqJyvNROK3SeLypdCwkopNC-yqXUFn1egfXCVoWqbVHgeOE5SpvP2d0pd2sbs4-htfFoehvMerkx0w64LkudqwMfveLkdbEnilj_ARzM1JnZmakzM3VmYBSIEXo4QTh-cQgYDbmAnUMfIrrB-D78h_8AhCh2Gw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Reliability assessment of phased-mission systems under random shocks</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Li, Xiang-Yu ; Li, Yan-Feng ; Huang, Hong-Zhong ; Zio, Enrico</creator><creatorcontrib>Li, Xiang-Yu ; Li, Yan-Feng ; Huang, Hong-Zhong ; Zio, Enrico</creatorcontrib><description>•A reliability model for PMS subject to random shocks is proposed.•MRGP is used to deal with the dynamic non-exponential components.•A MC simulation procedure is proposed to evaluate PMS subject to random shocks.•The result confirms the importance of considering random shocks in PMS reliability. Phased-mission systems (PMSs) are widely used, especially in the aerospace industry. As in the outer space there are many kinds of cosmic rays, such as the Galactic Cosmic Rays (GCR), randomly hitting on these systems and causing significant impact on the electronics inside or outside the equipment, a reliability model for PMSs considering both finite and infinite random shocks is proposed in this paper. The modularization method is used to simplify the state space model for each phase and reduce the amount of system states, and the Markov regenerative process (MRGP) is used to describe the hybrid components’ lifetime distributions and the dynamic behaviors within the modules. Then, two kinds of scenarios, finite and infinite random shocks effect, are both integrated into the dynamic modules. For demonstration, a phased altitude and orbit control system (AOCS) subjected to infinite random shocks is illustrated to demonstrate the procedure of the proposed Monte Carlo simulation. Thirdly, the evaluated system reliability under infinite random shocks is compared with the same system without considering random shocks. At last, a sensitivity analysis is also provided for completion.</description><identifier>ISSN: 0951-8320</identifier><identifier>EISSN: 1879-0836</identifier><identifier>DOI: 10.1016/j.ress.2018.08.002</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Altitude and orbit control system ; Applications ; Markov regenerative process ; Monte Carlo simulation ; Phased-mission system ; Random shocks ; Statistics</subject><ispartof>Reliability engineering &amp; system safety, 2018-12, Vol.180, p.352-361</ispartof><rights>2018</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c378t-2727a556bc189c97ecd14b9f250e2529db3559aed3b0ad2ab67fa66e29d13e5a3</citedby><cites>FETCH-LOGICAL-c378t-2727a556bc189c97ecd14b9f250e2529db3559aed3b0ad2ab67fa66e29d13e5a3</cites><orcidid>0000-0002-5285-9082 ; 0000-0002-7108-637X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0951832017305392$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://hal.science/hal-01988937$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Xiang-Yu</creatorcontrib><creatorcontrib>Li, Yan-Feng</creatorcontrib><creatorcontrib>Huang, Hong-Zhong</creatorcontrib><creatorcontrib>Zio, Enrico</creatorcontrib><title>Reliability assessment of phased-mission systems under random shocks</title><title>Reliability engineering &amp; system safety</title><description>•A reliability model for PMS subject to random shocks is proposed.•MRGP is used to deal with the dynamic non-exponential components.•A MC simulation procedure is proposed to evaluate PMS subject to random shocks.•The result confirms the importance of considering random shocks in PMS reliability. Phased-mission systems (PMSs) are widely used, especially in the aerospace industry. As in the outer space there are many kinds of cosmic rays, such as the Galactic Cosmic Rays (GCR), randomly hitting on these systems and causing significant impact on the electronics inside or outside the equipment, a reliability model for PMSs considering both finite and infinite random shocks is proposed in this paper. The modularization method is used to simplify the state space model for each phase and reduce the amount of system states, and the Markov regenerative process (MRGP) is used to describe the hybrid components’ lifetime distributions and the dynamic behaviors within the modules. Then, two kinds of scenarios, finite and infinite random shocks effect, are both integrated into the dynamic modules. For demonstration, a phased altitude and orbit control system (AOCS) subjected to infinite random shocks is illustrated to demonstrate the procedure of the proposed Monte Carlo simulation. Thirdly, the evaluated system reliability under infinite random shocks is compared with the same system without considering random shocks. At last, a sensitivity analysis is also provided for completion.</description><subject>Altitude and orbit control system</subject><subject>Applications</subject><subject>Markov regenerative process</subject><subject>Monte Carlo simulation</subject><subject>Phased-mission system</subject><subject>Random shocks</subject><subject>Statistics</subject><issn>0951-8320</issn><issn>1879-0836</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kM1Lw0AQxRdRsFb_AU-5ekic3XSzWfBS6keFgiB6Xja7E7o1H2UnFvrfm1DxKDwYmHm_B_MYu-WQceDF_S6LSJQJ4GUGo0CcsRkvlU6hzItzNgMteVrmAi7ZFdEOABZaqhl7fMcm2Co0YTgmlmhMabEbkr5O9ltL6NM2EIW-S-hIA7aUfHceYxJt5_s2oW3vvuiaXdS2Ibz5nXP2-fz0sVqnm7eX19Vyk7pclUMqlFBWyqJyvNROK3SeLypdCwkopNC-yqXUFn1egfXCVoWqbVHgeOE5SpvP2d0pd2sbs4-htfFoehvMerkx0w64LkudqwMfveLkdbEnilj_ARzM1JnZmakzM3VmYBSIEXo4QTh-cQgYDbmAnUMfIrrB-D78h_8AhCh2Gw</recordid><startdate>201812</startdate><enddate>201812</enddate><creator>Li, Xiang-Yu</creator><creator>Li, Yan-Feng</creator><creator>Huang, Hong-Zhong</creator><creator>Zio, Enrico</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-5285-9082</orcidid><orcidid>https://orcid.org/0000-0002-7108-637X</orcidid></search><sort><creationdate>201812</creationdate><title>Reliability assessment of phased-mission systems under random shocks</title><author>Li, Xiang-Yu ; Li, Yan-Feng ; Huang, Hong-Zhong ; Zio, Enrico</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c378t-2727a556bc189c97ecd14b9f250e2529db3559aed3b0ad2ab67fa66e29d13e5a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Altitude and orbit control system</topic><topic>Applications</topic><topic>Markov regenerative process</topic><topic>Monte Carlo simulation</topic><topic>Phased-mission system</topic><topic>Random shocks</topic><topic>Statistics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Xiang-Yu</creatorcontrib><creatorcontrib>Li, Yan-Feng</creatorcontrib><creatorcontrib>Huang, Hong-Zhong</creatorcontrib><creatorcontrib>Zio, Enrico</creatorcontrib><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Reliability engineering &amp; system safety</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Xiang-Yu</au><au>Li, Yan-Feng</au><au>Huang, Hong-Zhong</au><au>Zio, Enrico</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reliability assessment of phased-mission systems under random shocks</atitle><jtitle>Reliability engineering &amp; system safety</jtitle><date>2018-12</date><risdate>2018</risdate><volume>180</volume><spage>352</spage><epage>361</epage><pages>352-361</pages><issn>0951-8320</issn><eissn>1879-0836</eissn><abstract>•A reliability model for PMS subject to random shocks is proposed.•MRGP is used to deal with the dynamic non-exponential components.•A MC simulation procedure is proposed to evaluate PMS subject to random shocks.•The result confirms the importance of considering random shocks in PMS reliability. Phased-mission systems (PMSs) are widely used, especially in the aerospace industry. As in the outer space there are many kinds of cosmic rays, such as the Galactic Cosmic Rays (GCR), randomly hitting on these systems and causing significant impact on the electronics inside or outside the equipment, a reliability model for PMSs considering both finite and infinite random shocks is proposed in this paper. The modularization method is used to simplify the state space model for each phase and reduce the amount of system states, and the Markov regenerative process (MRGP) is used to describe the hybrid components’ lifetime distributions and the dynamic behaviors within the modules. Then, two kinds of scenarios, finite and infinite random shocks effect, are both integrated into the dynamic modules. For demonstration, a phased altitude and orbit control system (AOCS) subjected to infinite random shocks is illustrated to demonstrate the procedure of the proposed Monte Carlo simulation. Thirdly, the evaluated system reliability under infinite random shocks is compared with the same system without considering random shocks. At last, a sensitivity analysis is also provided for completion.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.ress.2018.08.002</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-5285-9082</orcidid><orcidid>https://orcid.org/0000-0002-7108-637X</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0951-8320
ispartof Reliability engineering & system safety, 2018-12, Vol.180, p.352-361
issn 0951-8320
1879-0836
language eng
recordid cdi_hal_primary_oai_HAL_hal_01988937v1
source Elsevier ScienceDirect Journals Complete
subjects Altitude and orbit control system
Applications
Markov regenerative process
Monte Carlo simulation
Phased-mission system
Random shocks
Statistics
title Reliability assessment of phased-mission systems under random shocks
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-20T10%3A04%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-elsevier_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Reliability%20assessment%20of%20phased-mission%20systems%20under%20random%20shocks&rft.jtitle=Reliability%20engineering%20&%20system%20safety&rft.au=Li,%20Xiang-Yu&rft.date=2018-12&rft.volume=180&rft.spage=352&rft.epage=361&rft.pages=352-361&rft.issn=0951-8320&rft.eissn=1879-0836&rft_id=info:doi/10.1016/j.ress.2018.08.002&rft_dat=%3Celsevier_hal_p%3ES0951832017305392%3C/elsevier_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_els_id=S0951832017305392&rfr_iscdi=true