Reliability Modeling of Infrastructure Load-Sharing Systems With Workload Adjustment

Motivated by the need to support effective asset management of infrastructure systems, this paper presents a novel reliability model for a load-sharing system where the operator can adjust component work load to balance system degradation. The operator-intervention effect, combined with other system...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on reliability Vol. 68; no. 4; pp. 1283 - 1295
Main Authors Sun, Qiuzhuang, Ye, Zhi-Sheng, Revie, Matthew, Walls, Lesley
Format Journal Article
LanguageEnglish
Published New York IEEE 01.12.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Online AccessGet full text
ISSN0018-9529
1558-1721
DOI10.1109/TR.2019.2900845

Cover

Abstract Motivated by the need to support effective asset management of infrastructure systems, this paper presents a novel reliability model for a load-sharing system where the operator can adjust component work load to balance system degradation. The operator-intervention effect, combined with other system complexities, makes modeling reliability interesting and challenging. We first develop cost modeling for a load-sharing system that has experienced operational service at the time of analysis. The system replacement process is modeled as a delayed renewal process for which the expected operational cost of the system is derived. A numerical algorithm is proposed to compute the cost, and the error bound is shown to be of order O(n -1 ). Next, we extend modeling to consider multiple heterogeneous systems located at different sites within the infrastructure network. Heterogeneities here refer to possible cross-site differences in the operating environments and the operators' actions. When the heterogeneities are observable, we model as covariates; otherwise, we model as random effects. Statistical inference methods are developed for the proposed models. An example using real data from a water utility illustrates the logical model behavior given parameter choices as well as showing how analysis might inform asset management.
AbstractList Motivated by the need to support effective asset management of infrastructure systems, this paper presents a novel reliability model for a load-sharing system where the operator can adjust component work load to balance system degradation. The operator-intervention effect, combined with other system complexities, makes modeling reliability interesting and challenging. We first develop cost modeling for a load-sharing system that has experienced operational service at the time of analysis. The system replacement process is modeled as a delayed renewal process for which the expected operational cost of the system is derived. A numerical algorithm is proposed to compute the cost, and the error bound is shown to be of order [Formula Omitted]. Next, we extend modeling to consider multiple heterogeneous systems located at different sites within the infrastructure network. Heterogeneities here refer to possible cross-site differences in the operating environments and the operators’ actions. When the heterogeneities are observable, we model as covariates; otherwise, we model as random effects. Statistical inference methods are developed for the proposed models. An example using real data from a water utility illustrates the logical model behavior given parameter choices as well as showing how analysis might inform asset management.
Motivated by the need to support effective asset management of infrastructure systems, this paper presents a novel reliability model for a load-sharing system where the operator can adjust component work load to balance system degradation. The operator-intervention effect, combined with other system complexities, makes modeling reliability interesting and challenging. We first develop cost modeling for a load-sharing system that has experienced operational service at the time of analysis. The system replacement process is modeled as a delayed renewal process for which the expected operational cost of the system is derived. A numerical algorithm is proposed to compute the cost, and the error bound is shown to be of order O(n -1 ). Next, we extend modeling to consider multiple heterogeneous systems located at different sites within the infrastructure network. Heterogeneities here refer to possible cross-site differences in the operating environments and the operators' actions. When the heterogeneities are observable, we model as covariates; otherwise, we model as random effects. Statistical inference methods are developed for the proposed models. An example using real data from a water utility illustrates the logical model behavior given parameter choices as well as showing how analysis might inform asset management.
Author Ye, Zhi-Sheng
Sun, Qiuzhuang
Revie, Matthew
Walls, Lesley
Author_xml – sequence: 1
  givenname: Qiuzhuang
  orcidid: 0000-0002-7103-1387
  surname: Sun
  fullname: Sun, Qiuzhuang
  email: qiuzhuang.sun@u.nus.edu
  organization: Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore
– sequence: 2
  givenname: Zhi-Sheng
  orcidid: 0000-0001-5731-3911
  surname: Ye
  fullname: Ye, Zhi-Sheng
  email: yez@nus.edu.sg
  organization: Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore
– sequence: 3
  givenname: Matthew
  surname: Revie
  fullname: Revie, Matthew
  email: matthew.j.revie@strath.ac.uk
  organization: Department of Management Science, University of Strathclyde, G1 1XW Glasgow, U.K
– sequence: 4
  givenname: Lesley
  orcidid: 0000-0001-7016-9141
  surname: Walls
  fullname: Walls, Lesley
  email: lesley.walls@strath.ac.uk
  organization: Department of Management Science, University of Strathclyde, G1 1XW Glasgow, U.K
BookMark eNp9kL1vwjAQxa2KSgXauUOXSJ0DthMH34hQS5GoKkEkRstxnGIaYmo7A_99E4E6dOh0err3u483QoPGNhqhR4InhGCY5psJxQQmFDDmKbtBQ8IYj8mMkgEaYkx4DIzCHRp5f-hkmgIfonyjayMLU5twjt5t2anmM7JVtGoqJ31wrQqt09HayjLe7qXr29uzD_roo50J-2hn3VfddaN5eWh9OOom3KPbStZeP1zrGOWvL_niLV5_LFeL-TpWlEOIlSwkUzQlGeAqw5IRWpWQzAB0UhSJlFRlWQXdoZJCigutoVRl2X1FCkayZIyeL2NPzn632gdxsK1ruo2CJhRzTijrXeziUs5673QllAkyGNsEJ00tCBZ9fiLfiD4_cc2v46Z_uJMzR-nO_xBPF8JorX_dPJuxFHDyAzSifT8
CODEN IERQAD
CitedBy_id crossref_primary_10_1287_msom_2022_0473
crossref_primary_10_1016_j_cie_2020_106291
crossref_primary_10_1111_poms_14071
crossref_primary_10_1109_TR_2022_3215792
crossref_primary_10_1016_j_ijpe_2020_107974
crossref_primary_10_1109_TR_2022_3140483
crossref_primary_10_1002_qre_3714
crossref_primary_10_1002_qre_3736
crossref_primary_10_1080_00207543_2021_1887532
crossref_primary_10_1016_j_ress_2020_107226
crossref_primary_10_1016_j_ress_2024_110785
crossref_primary_10_1016_j_ejor_2020_11_036
crossref_primary_10_1109_TR_2020_3023827
crossref_primary_10_1109_TSMC_2023_3277497
crossref_primary_10_1016_j_ress_2024_110498
crossref_primary_10_1016_j_jocs_2024_102495
crossref_primary_10_1016_j_ress_2022_108907
crossref_primary_10_1002_qre_3407
crossref_primary_10_1080_24725854_2019_1672908
crossref_primary_10_1016_j_ress_2021_108224
crossref_primary_10_1016_j_ress_2020_107234
crossref_primary_10_1016_j_ress_2022_108443
crossref_primary_10_1080_00401706_2019_1668855
crossref_primary_10_1080_24725854_2019_1649505
crossref_primary_10_1016_j_ress_2023_109133
crossref_primary_10_1016_j_ress_2019_106588
Cites_doi 10.1080/00224065.2018.1406770
10.1109/TR.2010.2083231
10.1093/oso/9780195064650.001.0001
10.1371/journal.pone.0189863
10.1109/TR.2015.2421819
10.1023/A:1009664101413
10.1057/palgrave.jors.2602185
10.1109/TR.2014.2313793
10.1109/TR.2013.2259205
10.1109/TR.2015.2461217
10.1109/TR.2014.2338251
10.1002/asmb.2063
10.1080/15732479.2011.563090
10.1080/03610918908812760
10.1080/00401706.2013.765324
10.1109/TR.2017.2778283
10.1109/TR.2014.2299151
10.1214/088342306000000510
10.1057/palgrave.jors.2600863
10.1080/00224065.2000.11979997
10.1080/0740817X.2015.1055391
10.1109/TR.2014.2315965
10.1111/j.1467-9868.2009.00726.x
10.1214/17-AOAS1060
10.1109/TR.2014.2336411
10.1007/BF00985760
10.1016/j.ress.2017.05.026
10.1109/TR.2017.2780170
10.1109/TR.2017.2767941
ContentType Journal Article
Copyright Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019
Copyright_xml – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019
DBID 97E
RIA
RIE
AAYXX
CITATION
7SP
8FD
L7M
DOI 10.1109/TR.2019.2900845
DatabaseName IEEE All-Society Periodicals Package (ASPP) 2005-present
IEEE All-Society Periodicals Package (ASPP) 1998-Present
IEEE Electronic Library (IEL)
CrossRef
Electronics & Communications Abstracts
Technology Research Database
Advanced Technologies Database with Aerospace
DatabaseTitle CrossRef
Technology Research Database
Advanced Technologies Database with Aerospace
Electronics & Communications Abstracts
DatabaseTitleList Technology Research Database

Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1558-1721
EndPage 1295
ExternalDocumentID 10_1109_TR_2019_2900845
8675490
Genre orig-research
GrantInformation_xml – fundername: China Scholarship Council
  grantid: 201506230136
  funderid: 10.13039/501100004543
– fundername: National Natural Science Foundation of China; Natural Science Foundation of China
  grantid: 71871191; 71771221
  funderid: 10.13039/501100001809
– fundername: National Research Foundation Singapore; National Research Foundation of Singapore
  funderid: 10.13039/501100001381
– fundername: Campus for Research Excellence and Technological Enterprise
– fundername: Natural Science Foundation of Jiangsu Province
  grantid: BK20180232
  funderid: 10.13039/501100004608
GroupedDBID -~X
.DC
0R~
29I
4.4
5GY
5VS
6IK
8WZ
97E
A6W
AAJGR
AARMG
AASAJ
AAWTH
ABAZT
ABQJQ
ABVLG
ACGFO
ACGFS
ACIWK
ACNCT
AENEX
AETIX
AGQYO
AGSQL
AHBIQ
AI.
AIBXA
AKJIK
AKQYR
ALLEH
ALMA_UNASSIGNED_HOLDINGS
ASUFR
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CS3
DU5
EBS
EJD
H~9
IAAWW
IBMZZ
ICLAB
IDIHD
IFIPE
IFJZH
IPLJI
JAVBF
LAI
M43
MS~
OCL
P2P
RIA
RIE
RNS
TN5
VH1
VJK
AAYXX
CITATION
7SP
8FD
L7M
RIG
ID FETCH-LOGICAL-c289t-caba5c241690f60a512fd93799e3bb3aa2c66f9449a2940bee9dcdd5581b5163
IEDL.DBID RIE
ISSN 0018-9529
IngestDate Sun Jun 29 16:50:47 EDT 2025
Thu Apr 24 23:01:26 EDT 2025
Wed Oct 01 01:27:37 EDT 2025
Wed Aug 27 02:43:08 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 4
Language English
License https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
https://doi.org/10.15223/policy-029
https://doi.org/10.15223/policy-037
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c289t-caba5c241690f60a512fd93799e3bb3aa2c66f9449a2940bee9dcdd5581b5163
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0001-5731-3911
0000-0002-7103-1387
0000-0001-7016-9141
PQID 2320881256
PQPubID 85456
PageCount 13
ParticipantIDs crossref_primary_10_1109_TR_2019_2900845
crossref_citationtrail_10_1109_TR_2019_2900845
ieee_primary_8675490
proquest_journals_2320881256
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2019-Dec.
2019-12-00
20191201
PublicationDateYYYYMMDD 2019-12-01
PublicationDate_xml – month: 12
  year: 2019
  text: 2019-Dec.
PublicationDecade 2010
PublicationPlace New York
PublicationPlace_xml – name: New York
PublicationTitle IEEE transactions on reliability
PublicationTitleAbbrev TR
PublicationYear 2019
Publisher IEEE
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml – name: IEEE
– name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References ref13
ref15
ref14
ref30
ref11
ref10
ref2
ref1
ref17
ref16
ref19
ref18
meeker (ref29) 1998
ref24
ref23
ref26
ref25
ref20
cooke (ref12) 1991
ref22
ref21
ref28
ref27
ref8
ref7
ref9
ref4
ref3
ref6
ref5
References_xml – ident: ref19
  doi: 10.1080/00224065.2018.1406770
– ident: ref1
  doi: 10.1109/TR.2010.2083231
– year: 1991
  ident: ref12
  publication-title: Experts in Uncertainty
  doi: 10.1093/oso/9780195064650.001.0001
– year: 1998
  ident: ref29
  publication-title: Statistical Methods for Reliability Data
– ident: ref10
  doi: 10.1371/journal.pone.0189863
– ident: ref9
  doi: 10.1109/TR.2015.2421819
– ident: ref18
  doi: 10.1023/A:1009664101413
– ident: ref2
  doi: 10.1057/palgrave.jors.2602185
– ident: ref7
  doi: 10.1109/TR.2014.2313793
– ident: ref22
  doi: 10.1109/TR.2013.2259205
– ident: ref4
  doi: 10.1109/TR.2015.2461217
– ident: ref8
  doi: 10.1109/TR.2014.2338251
– ident: ref6
  doi: 10.1002/asmb.2063
– ident: ref15
  doi: 10.1080/15732479.2011.563090
– ident: ref17
  doi: 10.1080/03610918908812760
– ident: ref13
  doi: 10.1080/00401706.2013.765324
– ident: ref5
  doi: 10.1109/TR.2017.2778283
– ident: ref21
  doi: 10.1109/TR.2014.2299151
– ident: ref28
  doi: 10.1214/088342306000000510
– ident: ref3
  doi: 10.1057/palgrave.jors.2600863
– ident: ref14
  doi: 10.1080/00224065.2000.11979997
– ident: ref25
  doi: 10.1080/0740817X.2015.1055391
– ident: ref11
  doi: 10.1109/TR.2014.2315965
– ident: ref30
  doi: 10.1111/j.1467-9868.2009.00726.x
– ident: ref23
  doi: 10.1214/17-AOAS1060
– ident: ref20
  doi: 10.1109/TR.2014.2336411
– ident: ref27
  doi: 10.1007/BF00985760
– ident: ref26
  doi: 10.1016/j.ress.2017.05.026
– ident: ref16
  doi: 10.1109/TR.2017.2780170
– ident: ref24
  doi: 10.1109/TR.2017.2767941
SSID ssj0014498
Score 2.4214787
Snippet Motivated by the need to support effective asset management of infrastructure systems, this paper presents a novel reliability model for a load-sharing system...
SourceID proquest
crossref
ieee
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 1283
SubjectTerms Algorithms
Analytical models
Asset management
Component reliability
Cumulative work load (CWL)
Data models
Degradation
degradation failure
delayed renewal process
Gamma process
Infrastructure
Load modeling
load-sharing system
Numerical analysis
Operating costs
Reliability
Reliability analysis
Reliability engineering
Statistical inference
Statistical methods
Sun
System effectiveness
Water resources
Water utilities
Workload
Title Reliability Modeling of Infrastructure Load-Sharing Systems With Workload Adjustment
URI https://ieeexplore.ieee.org/document/8675490
https://www.proquest.com/docview/2320881256
Volume 68
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVIEE
  databaseName: IEEE Electronic Library (IEL)
  customDbUrl:
  eissn: 1558-1721
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0014498
  issn: 0018-9529
  databaseCode: RIE
  dateStart: 19630101
  isFulltext: true
  titleUrlDefault: https://ieeexplore.ieee.org/
  providerName: IEEE
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV07T8MwELZKJxh4FUShIA8MDCRN0zjtjRWiAkQZqiC6RY4f4lE1qI8Bfj13iVvxlNgi2Y6sO9v3nX33HWOnLRV3bCyEF7SFoRJmgQdZaD2jtQDZ7YSRpkThwV18dR_djMSows5XuTDGmCL4zPj0Wbzl61wt6Kqs2UV0GwE66GudDpS5WqsXgygCd-riBhYhOBqfVgDNZEghXOCHQOzx4osFKkqq_DiHC-PS32KD5bTKmJIXfzHPfPX-jbHxv_PeZpsOZfJeuSx2WMVMdtnGJ-7BGksoGLkk6X7jVBGN8tJ5bvn1xE5lSSu7mBp-m0vtEa0zNTt-c_7wNH_kdM8-xlbe08-LWRGtvseS_mVyceW5EgueQk9r7imZSaHQiqOTbONAovm3GhELgGlnWVvKUMWxBRSuDCEKMmNAK1SjQLQrEMrts-okn5gDxnWbioRb0QVpiFRQAiUnRdoGBhQYUWf-UuqpcvTjVAVjnBZuSABpMkxJTalTU52drQa8lswbf3etkdBX3Zy866yxVGvqduYsRQSJByvCuvjw91FHbJ3-XYasNFgV5W2OEXjMs5NixX0A3w_Urw
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LT8MwDLYQHIADb8RgQA4cONBSuqabjxMCDdg4oCK4VWke4qUNwXaAX4_dZhNPiVulJGpkJ87nxP4MsHek06ZLpQyihrRcwiwKsIhdYI2RqFrNODGcKNy7TDvXyfmtvJ2Cg0kujLW2DD6zIX-Wb_lmoEd8VXbYInSbIDnoM5K8imaVrTV5M0gS9HaXtrCM0RP5HEV4mF1xEBeGMTJ_vPxyBpVFVX5Y4vJ4OV2E3nhiVVTJYzgaFqF-_8bZ-N-ZL8GCx5miXS2MZZiy_RWY_8Q-uAoZhyNXNN1vgmuicWa6GDhx1ncvqiKWHb1Y0R0oEzCxMzd7hnNxcz-8E3zT_kStom0eRq9lvPoaZKcn2XEn8EUWAk2-1jDQqlBS0zlObrJLI0UAwBnCLIi2URQNpWKdpg5JuCrGJCqsRaNJkZLwriQwtw7T_UHfboAwDS4T7mQLlWVaQYWcnpQYF1nUaGUNwrHUc-0JyLkOxlNeOiIR5tlVzmrKvZpqsD8Z8Fxxb_zddZWFPunm5V2D-litud-brzlhSDKtBOzSzd9H7cJsJ-t18-7Z5cUWzPF_qgCWOkyT7O02wZBhsVOuvg81h9gA
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=Reliability+Modeling+of+Infrastructure+Load-Sharing+Systems+With+Workload+Adjustment&rft.jtitle=IEEE+transactions+on+reliability&rft.au=Sun%2C+Qiuzhuang&rft.au=Ye%2C+Zhi-Sheng&rft.au=Revie%2C+Matthew&rft.au=Walls%2C+Lesley&rft.date=2019-12-01&rft.issn=0018-9529&rft.eissn=1558-1721&rft.volume=68&rft.issue=4&rft.spage=1283&rft.epage=1295&rft_id=info:doi/10.1109%2FTR.2019.2900845&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_TR_2019_2900845
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0018-9529&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0018-9529&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0018-9529&client=summon