基于Markov和SFT的同类元件系统中元件维修率分布确定
为了扩展空间故障树SFT理论,研究可表示工作环境影响的元件维修率,借助Markov链理论对元件维修率分布进行推导。所研究系统的特点为由相同元件所构成,进而使Markov链中失效率和维修率相同。用SFT中的特征函数代替Markov链中失效率,并根据实际情况设定状态转移概率,从而可得SFT下的元件维修率分布。维修率分布是由工作环境因素作为自变量的函数,考虑工作时间t和工作温度c影响下,对一混联系统进行元件维修率分布计算。最终得到了元件维修率分布和正常状态转移概率范围,其具体计算要依赖于实例系统结构。最后论述了方法的不足及其原因。...
Saved in:
Published in | 计算机应用研究 Vol. 34; no. 11; pp. 3255 - 3258 |
---|---|
Main Author | |
Format | Journal Article |
Language | Chinese |
Published |
辽宁工程技术大学安全科学与工程学院,辽宁阜新123000
2017
大连交通大学辽宁省隧道与地下结构工程技术研究中心,辽宁大连116028%辽宁工程技术大学安全科学与工程学院,辽宁阜新,123000%大连交通大学辽宁省隧道与地下结构工程技术研究中心,辽宁大连,116028%辽宁工程技术大学力学与工程学院,辽宁阜新,123000 |
Subjects | |
Online Access | Get full text |
ISSN | 1001-3695 |
DOI | 10.3969/j.issn.1001-3695.2017.11.012 |
Cover
Abstract | 为了扩展空间故障树SFT理论,研究可表示工作环境影响的元件维修率,借助Markov链理论对元件维修率分布进行推导。所研究系统的特点为由相同元件所构成,进而使Markov链中失效率和维修率相同。用SFT中的特征函数代替Markov链中失效率,并根据实际情况设定状态转移概率,从而可得SFT下的元件维修率分布。维修率分布是由工作环境因素作为自变量的函数,考虑工作时间t和工作温度c影响下,对一混联系统进行元件维修率分布计算。最终得到了元件维修率分布和正常状态转移概率范围,其具体计算要依赖于实例系统结构。最后论述了方法的不足及其原因。 |
---|---|
AbstractList | TP206.3; 为了扩展空间故障树SFT理论,研究可表示工作环境影响的元件维修率,借助Markov链理论对元件维修率分布进行推导.所研究系统的特点为由相同元件所构成,进而使Markov链中失效率和维修率相同.用SFT中的特征函数代替Markov链中失效率,并根据实际情况设定状态转移概率,从而可得SFT下的元件维修率分布.维修率分布是由工作环境因素作为自变量的函数,考虑工作时间t和工作温度c影响下,对一混联系统进行元件维修率分布计算.最终得到了元件维修率分布和正常状态转移概率范围,其具体计算要依赖于实例系统结构.最后论述了方法的不足及其原因. 为了扩展空间故障树SFT理论,研究可表示工作环境影响的元件维修率,借助Markov链理论对元件维修率分布进行推导。所研究系统的特点为由相同元件所构成,进而使Markov链中失效率和维修率相同。用SFT中的特征函数代替Markov链中失效率,并根据实际情况设定状态转移概率,从而可得SFT下的元件维修率分布。维修率分布是由工作环境因素作为自变量的函数,考虑工作时间t和工作温度c影响下,对一混联系统进行元件维修率分布计算。最终得到了元件维修率分布和正常状态转移概率范围,其具体计算要依赖于实例系统结构。最后论述了方法的不足及其原因。 |
Abstract_FL | In order to expand the space fault tree SFT,and study component maintenance rate according to the environmental impact,this paper derived component maintenance rate distribution using Markov chain theory.The characteristics of studied system were composed of the same components,then the components had the same failure rate and repaired rate of Markov chain.It substituted the SFT characteristic function of the failure rate in Markov chains,and set the state transition probability considering actual situation,to obtain the components maintenance rate distribution.Repair rate distribution was a function by the work environment factors as the independent variables.Considering the influence of the working time t and temperature c,this paper calculated the component maintenance rate distribution of hybrid system and obtained the component repair rate distribution and the normal state transition probability range.Finally this paper discussed the method's disadvantages and the reasons. |
Author | 崔铁军 李莎莎 马云东 王来贵 |
AuthorAffiliation | 辽宁工程技术大学安全科学与工程学院,辽宁阜新123000 辽宁工程技术大学力学与工程学院,辽宁阜新123000 大连交通大学辽宁省隧道与地下结构工程技术研究中心,辽宁大连116028 |
AuthorAffiliation_xml | – name: 辽宁工程技术大学安全科学与工程学院,辽宁阜新123000;大连交通大学辽宁省隧道与地下结构工程技术研究中心,辽宁大连116028%辽宁工程技术大学安全科学与工程学院,辽宁阜新,123000%大连交通大学辽宁省隧道与地下结构工程技术研究中心,辽宁大连,116028%辽宁工程技术大学力学与工程学院,辽宁阜新,123000 |
Author_FL | Wang Laigui Ma Yundong Cui Tiejun Li Shasha |
Author_FL_xml | – sequence: 1 fullname: Cui Tiejun – sequence: 2 fullname: Li Shasha – sequence: 3 fullname: Ma Yundong – sequence: 4 fullname: Wang Laigui |
Author_xml | – sequence: 1 fullname: 崔铁军 李莎莎 马云东 王来贵 |
BookMark | eNo9j81Kw0AcxPdQwbb6EuLBS-L-d7O75iilVaHiwd7Lbt3URt1ogkrO9etQinjspfgAFkSR0hx8mSx5DSMVT8MMP2aYGqqYyGiENgG71Of-dugOksS4gDE4lPvMJRiEC-BiIBVU_c9XUS1JQow9Aj6uoqadLvLF-FDGZ9GNfRkdtzrF5M4-j4r3zN4P8-yr-MiKbJrP3_5s9pl_z4rxo316sPNh8Tqzs8kaWgnkeaLX_7SOOq1mp7HvtI_2Dhq7bafHMXFOhNaUUyV0oEphlASCcdBMUq2BSeZhAspXWhEtNKeBUkwKDCyQiuxgn9bR1rL2VppAmn43jK5jUw52wyRM0zT8_QxQPi7RjSXaO41M_2pQwpfx4ELGaZcL6lHuUUp_AKdecn8 |
ClassificationCodes | TP206.3 |
ContentType | Journal Article |
Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
Copyright_xml | – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
DBID | 2RA 92L CQIGP W92 ~WA 2B. 4A8 92I 93N PSX TCJ |
DOI | 10.3969/j.issn.1001-3695.2017.11.012 |
DatabaseName | 维普期刊资源整合服务平台 中文科技期刊数据库-CALIS站点 维普中文期刊数据库 中文科技期刊数据库-工程技术 中文科技期刊数据库- 镜像站点 Wanfang Data Journals - Hong Kong WANFANG Data Centre Wanfang Data Journals 万方数据期刊 - 香港版 China Online Journals (COJ) China Online Journals (COJ) |
DatabaseTitleList | |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Computer Science |
DocumentTitleAlternate | Determine component maintenance rate distribution in similar components system based on Markov and SFT |
DocumentTitle_FL | Determine component maintenance rate distribution in similar components system based on Markov and SFT |
EndPage | 3258 |
ExternalDocumentID | jsjyyyj201711012 673436433 |
GrantInformation_xml | – fundername: 国家自然科学基金资助项目 funderid: (51674127,51274110,51474121) |
GroupedDBID | -0Y 2B. 2C0 2RA 5XA 5XJ 92H 92I 92L ACGFS ALMA_UNASSIGNED_HOLDINGS CCEZO CQIGP CUBFJ CW9 TCJ TGT U1G U5S W92 ~WA 4A8 93N ABJNI PSX |
ID | FETCH-LOGICAL-c602-d7ee363b7efb63b532f7561e5a3ee15a54021b9beb2e7e63fbb5a7015fab28093 |
ISSN | 1001-3695 |
IngestDate | Thu May 29 03:54:51 EDT 2025 Wed Feb 14 09:55:52 EST 2024 |
IsPeerReviewed | false |
IsScholarly | true |
Issue | 11 |
Keywords | SFT 马尔可夫 安全系统工程 空间故障树 Markov safety system engineering component maintenance rate distribution similar element system 同类元件系统 元件维修率分布 |
Language | Chinese |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c602-d7ee363b7efb63b532f7561e5a3ee15a54021b9beb2e7e63fbb5a7015fab28093 |
Notes | 51-1196/TP safety system engineering; SFF; Markov; similar element system; component maintenance rate distribution In order to expand the space fault tree SFT, and study component maintenance rate according to the environmental impact, this paper derived component maintenance rate distribution using Markov chain theory. The characteristics of studied sys- tem were composed of the same components,then the components had the same failure rate and repaired rate of Markov chain. It substituted the SFT characteristic function of the failure rate in Markov chains ,and set the state transition probability considering actual situation,to obtain the components maintenance rate distribution. Repair rate distribution was a function by the work environment factors as the independent variables. Considering the influence of the working time t and temperature c, this paper calculated the component maintenance rate distribution of hybrid system and obtained the component repair rate distribution and the normal state transition |
PageCount | 4 |
ParticipantIDs | wanfang_journals_jsjyyyj201711012 chongqing_primary_673436433 |
PublicationCentury | 2000 |
PublicationDate | 2017 |
PublicationDateYYYYMMDD | 2017-01-01 |
PublicationDate_xml | – year: 2017 text: 2017 |
PublicationDecade | 2010 |
PublicationTitle | 计算机应用研究 |
PublicationTitleAlternate | Application Research of Computers |
PublicationTitle_FL | Application Research of Computers |
PublicationYear | 2017 |
Publisher | 辽宁工程技术大学安全科学与工程学院,辽宁阜新123000 大连交通大学辽宁省隧道与地下结构工程技术研究中心,辽宁大连116028%辽宁工程技术大学安全科学与工程学院,辽宁阜新,123000%大连交通大学辽宁省隧道与地下结构工程技术研究中心,辽宁大连,116028%辽宁工程技术大学力学与工程学院,辽宁阜新,123000 |
Publisher_xml | – name: 大连交通大学辽宁省隧道与地下结构工程技术研究中心,辽宁大连116028%辽宁工程技术大学安全科学与工程学院,辽宁阜新,123000%大连交通大学辽宁省隧道与地下结构工程技术研究中心,辽宁大连,116028%辽宁工程技术大学力学与工程学院,辽宁阜新,123000 – name: 辽宁工程技术大学安全科学与工程学院,辽宁阜新123000 |
SSID | ssj0042190 ssib001102940 ssib002263599 ssib023646305 ssib051375744 ssib025702191 |
Score | 2.0887198 |
Snippet | 为了扩展空间故障树SFT理论,研究可表示工作环境影响的元件维修率,借助Markov链理论对元件维修率分布进行推导。所研究系统的特点为由相同元件所构成,进而使Markov链中失... TP206.3; 为了扩展空间故障树SFT理论,研究可表示工作环境影响的元件维修率,借助Markov链理论对元件维修率分布进行推导.所研究系统的特点为由相同元件所构成,进而使Markov... |
SourceID | wanfang chongqing |
SourceType | Aggregation Database Publisher |
StartPage | 3255 |
SubjectTerms | 元件维修率分布 同类元件系统 安全系统工程 空间故障树 马尔可夫 |
Title | 基于Markov和SFT的同类元件系统中元件维修率分布确定 |
URI | http://lib.cqvip.com/qk/93231X/201711/673436433.html https://d.wanfangdata.com.cn/periodical/jsjyyyj201711012 |
Volume | 34 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
journalDatabaseRights | – providerCode: PRVEBS databaseName: EBSCOhost Academic Search Ultimate issn: 1001-3695 databaseCode: ABDBF dateStart: 20130901 customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn isFulltext: true dateEnd: 99991231 titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn omitProxy: true ssIdentifier: ssib025702191 providerName: EBSCOhost |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR3LbhMx0AqthLjwRpQCClJ9ilKya3ttH3eTjSokuBCk3qI43W2VQwq0RWqv5XWoKsSxl4oPIBICoao58DNZ5SO4MON1kkUqFSBFjndmPB6_xmPLHhOylAphPOgHVWlqrMrTmql2fHwyTHaZgR4lhcEN_cdPgpVn_NGqWC2VfhZOLe1sm-Xu3pn3Sv6nVQEG7Yq3ZP-hZadMAQBxaF8IoYUh_Ks2prGgukmjkMYcQxXj1ZvNVxbuU1V_2mzRWFINKG6BNQAiJPJoFCFEwY_Z5BGNAotiFiUxBOaIUjRs_IEYItxCmjSMEaJiqqQlVlQFGIHkmErS0LM0AkMdFs1iGisEAgGSARY4BFTXbdEEhprbgnAaKktTc5BQgySTXmNpucVoqhlYyVYQ4BRVLMMGigd5oZCzSAXJgVFYd_WoPVdsXa9MyhQ5BqHAdJBLJIo7JvnVUKfe8QAZC_JnPSf6322mun7uFbQ583MXws4ygE911qzDdKDtrIN5LE_zwHODchldxLqD4r_79Q4k4wzsQXaBzPsSzKQ5Mh9Gjag5s2bB-Ct6N_TRcdBs9Yiu_4OCusb3CGH-mapr4TEp7OMGuWHCAZk753ACXiRLTvqH58mOXkc2NvvrL8CWslfb-mmnv16wwlpXyWW3fCqH-Vi4Rkp7G9fJlcnTJGU3U90gcXZ8Ojo9zIdD9vEABsL46HX24WD8ZZi92R8Nv4-_DsfD49HJZ_c5_Db6MRgfvsvev81O9sefBtng6CZpNeNWfaXqXgypdgOY2ddkkrAAdEySGvgTzE8lrA8S0WFJ4okOrE58z2iTGD-RScBSY0RHgkGcdoyvaprdInP9zX5ym5SVVjJdE9pormHNwo1KufF94Nv1WcL0AlmcVkr7ee4Ypj1t0gXywFVT26mLrXZvq7e7u9vDivXQqd6dczkskktImW_23SVz2y93kntg_m6b-66b_AKPQ4md |
linkProvider | EBSCOhost |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E5%9F%BA%E4%BA%8EMarkov%E5%92%8CSFT%E7%9A%84%E5%90%8C%E7%B1%BB%E5%85%83%E4%BB%B6%E7%B3%BB%E7%BB%9F%E4%B8%AD%E5%85%83%E4%BB%B6%E7%BB%B4%E4%BF%AE%E7%8E%87%E5%88%86%E5%B8%83%E7%A1%AE%E5%AE%9A&rft.jtitle=%E8%AE%A1%E7%AE%97%E6%9C%BA%E5%BA%94%E7%94%A8%E7%A0%94%E7%A9%B6&rft.au=%E5%B4%94%E9%93%81%E5%86%9B+%E6%9D%8E%E8%8E%8E%E8%8E%8E+%E9%A9%AC%E4%BA%91%E4%B8%9C+%E7%8E%8B%E6%9D%A5%E8%B4%B5&rft.date=2017&rft.issn=1001-3695&rft.volume=34&rft.issue=11&rft.spage=3255&rft.epage=3258&rft_id=info:doi/10.3969%2Fj.issn.1001-3695.2017.11.012&rft.externalDocID=673436433 |
thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fimage.cqvip.com%2Fvip1000%2Fqk%2F93231X%2F93231X.jpg http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fjsjyyyj%2Fjsjyyyj.jpg |