Some reliability measures and maintenance policies for a coherent system composed of different types of components View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2022-03-06

AUTHORS

Maryam Kelkinnama, Serkan Eryilmaz

ABSTRACT

Consider an n-components coherent system monitored at one or two inspection times, and some information about the system and its components is obtained. Under these conditions, some variants of mean residual lifetimes can be defined. Also, the dual concept of the residual lifetime, i.e., inactivity time is defined for a failed system under different conditions. This article is concerned with the study of mean residual lives and mean inactivity times for a coherent system made of multiple types of dependent components. The dependency structure is modeled by a survival copula. The notion of survival signature is employed to represent the system’s reliability function and subsequently its mean residual lives and mean inactivity times under different events at the monitoring time. These dynamic measures are used frequently to study the reliability characteristics of a system. Also, they provide helpful tools for designing the optimal maintenance policies to preserving the system from sudden and costly failures. Here, we extend some maintenance strategies for a coherent system consists of multiple dependent components. Some illustrative examples are provided. More... »

PAGES

1-26

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00184-022-00862-5

DOI

http://dx.doi.org/10.1007/s00184-022-00862-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1146081253


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0104", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Statistics", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Mathematical Sciences, Isfahan University of Technology, 84156-83111, Isfahan, Iran", 
          "id": "http://www.grid.ac/institutes/grid.411751.7", 
          "name": [
            "Department of Mathematical Sciences, Isfahan University of Technology, 84156-83111, Isfahan, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kelkinnama", 
        "givenName": "Maryam", 
        "id": "sg:person.014255524147.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014255524147.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Industrial Engineering, Atilim University, 06836, Ankara, Turkey", 
          "id": "http://www.grid.ac/institutes/grid.440424.2", 
          "name": [
            "Department of Industrial Engineering, Atilim University, 06836, Ankara, Turkey"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Eryilmaz", 
        "givenName": "Serkan", 
        "id": "sg:person.015526451601.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015526451601.40"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-3-642-30662-4_8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050527515", 
          "https://doi.org/10.1007/978-3-642-30662-4_8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00184-021-00817-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1137308819", 
          "https://doi.org/10.1007/s00184-021-00817-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00184-012-0429-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016563676", 
          "https://doi.org/10.1007/s00184-012-0429-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11749-017-0535-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085128170", 
          "https://doi.org/10.1007/s11749-017-0535-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13571-011-0028-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035946111", 
          "https://doi.org/10.1007/s13571-011-0028-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00184-021-00826-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1139071155", 
          "https://doi.org/10.1007/s00184-021-00826-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00362-009-0207-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046538398", 
          "https://doi.org/10.1007/s00362-009-0207-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00184-016-0600-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024834791", 
          "https://doi.org/10.1007/s00184-016-0600-1"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2022-03-06", 
    "datePublishedReg": "2022-03-06", 
    "description": "Consider an n-components coherent system monitored at one or two inspection times, and some information about the system and its components is obtained. Under these conditions, some variants of mean residual lifetimes can be defined. Also, the dual concept of the residual lifetime, i.e., inactivity time is defined for a failed system under different conditions. This article is concerned with the study of mean residual lives and mean inactivity times for a coherent system made of multiple types of dependent components. The dependency structure is modeled by a survival copula. The notion of survival signature is employed to represent the system\u2019s reliability function and subsequently its mean residual lives and mean inactivity times under different events at the monitoring time. These dynamic measures are used frequently to study the reliability characteristics of a system. Also, they provide helpful tools for designing the optimal maintenance policies to preserving the system from sudden and costly failures. Here, we extend some maintenance strategies for a coherent system consists of multiple dependent components. Some illustrative examples are provided.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00184-022-00862-5", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1041634", 
        "issn": [
          "0026-1335", 
          "1435-926X"
        ], 
        "name": "Metrika", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }
    ], 
    "keywords": [
      "dependency structure", 
      "coherent system", 
      "reliability measures", 
      "inspection time", 
      "inactivity time", 
      "multiple types", 
      "reliability function", 
      "different events", 
      "costly failures", 
      "system", 
      "system reliability function", 
      "reliability characteristics", 
      "maintenance policy", 
      "maintenance strategy", 
      "illustrative example", 
      "survival signature", 
      "information", 
      "monitoring time", 
      "helpful tool", 
      "tool", 
      "different types", 
      "time", 
      "lifetime", 
      "dual concept", 
      "concept", 
      "dependent components", 
      "optimal maintenance policy", 
      "components", 
      "residual lifetime", 
      "dynamic measures", 
      "example", 
      "different conditions", 
      "types", 
      "notion", 
      "signatures", 
      "measures", 
      "policy", 
      "strategies", 
      "variants", 
      "article", 
      "residual life", 
      "life", 
      "structure", 
      "function", 
      "characteristics", 
      "conditions", 
      "mean residual life", 
      "copula", 
      "events", 
      "failure", 
      "mean residual lifetime", 
      "study", 
      "survival copula", 
      "n-component coherent system"
    ], 
    "name": "Some reliability measures and maintenance policies for a coherent system composed of different types of components", 
    "pagination": "1-26", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1146081253"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00184-022-00862-5"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00184-022-00862-5", 
      "https://app.dimensions.ai/details/publication/pub.1146081253"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-09-02T16:07", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_925.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00184-022-00862-5"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00184-022-00862-5'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00184-022-00862-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00184-022-00862-5'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00184-022-00862-5'


 

This table displays all metadata directly associated to this object as RDF triples.

147 TRIPLES      21 PREDICATES      83 URIs      67 LITERALS      4 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00184-022-00862-5 schema:about anzsrc-for:01
2 anzsrc-for:0104
3 schema:author Nd2e85b775caf4f1b93557d4ca7bc87c2
4 schema:citation sg:pub.10.1007/978-3-642-30662-4_8
5 sg:pub.10.1007/s00184-012-0429-1
6 sg:pub.10.1007/s00184-016-0600-1
7 sg:pub.10.1007/s00184-021-00817-2
8 sg:pub.10.1007/s00184-021-00826-1
9 sg:pub.10.1007/s00362-009-0207-y
10 sg:pub.10.1007/s11749-017-0535-5
11 sg:pub.10.1007/s13571-011-0028-6
12 schema:datePublished 2022-03-06
13 schema:datePublishedReg 2022-03-06
14 schema:description Consider an n-components coherent system monitored at one or two inspection times, and some information about the system and its components is obtained. Under these conditions, some variants of mean residual lifetimes can be defined. Also, the dual concept of the residual lifetime, i.e., inactivity time is defined for a failed system under different conditions. This article is concerned with the study of mean residual lives and mean inactivity times for a coherent system made of multiple types of dependent components. The dependency structure is modeled by a survival copula. The notion of survival signature is employed to represent the system’s reliability function and subsequently its mean residual lives and mean inactivity times under different events at the monitoring time. These dynamic measures are used frequently to study the reliability characteristics of a system. Also, they provide helpful tools for designing the optimal maintenance policies to preserving the system from sudden and costly failures. Here, we extend some maintenance strategies for a coherent system consists of multiple dependent components. Some illustrative examples are provided.
15 schema:genre article
16 schema:isAccessibleForFree false
17 schema:isPartOf sg:journal.1041634
18 schema:keywords article
19 characteristics
20 coherent system
21 components
22 concept
23 conditions
24 copula
25 costly failures
26 dependency structure
27 dependent components
28 different conditions
29 different events
30 different types
31 dual concept
32 dynamic measures
33 events
34 example
35 failure
36 function
37 helpful tool
38 illustrative example
39 inactivity time
40 information
41 inspection time
42 life
43 lifetime
44 maintenance policy
45 maintenance strategy
46 mean residual life
47 mean residual lifetime
48 measures
49 monitoring time
50 multiple types
51 n-component coherent system
52 notion
53 optimal maintenance policy
54 policy
55 reliability characteristics
56 reliability function
57 reliability measures
58 residual life
59 residual lifetime
60 signatures
61 strategies
62 structure
63 study
64 survival copula
65 survival signature
66 system
67 system reliability function
68 time
69 tool
70 types
71 variants
72 schema:name Some reliability measures and maintenance policies for a coherent system composed of different types of components
73 schema:pagination 1-26
74 schema:productId N8379434e2c9a44e092f78f2a116519c1
75 Nf059d59e9fe14035952cdfc11ca44440
76 schema:sameAs https://app.dimensions.ai/details/publication/pub.1146081253
77 https://doi.org/10.1007/s00184-022-00862-5
78 schema:sdDatePublished 2022-09-02T16:07
79 schema:sdLicense https://scigraph.springernature.com/explorer/license/
80 schema:sdPublisher N7f7b8b61f05e43fbb6794cf52383e7ed
81 schema:url https://doi.org/10.1007/s00184-022-00862-5
82 sgo:license sg:explorer/license/
83 sgo:sdDataset articles
84 rdf:type schema:ScholarlyArticle
85 N7f7b8b61f05e43fbb6794cf52383e7ed schema:name Springer Nature - SN SciGraph project
86 rdf:type schema:Organization
87 N8379434e2c9a44e092f78f2a116519c1 schema:name doi
88 schema:value 10.1007/s00184-022-00862-5
89 rdf:type schema:PropertyValue
90 Nbc3b78ff5c8f46b0b86c927eb776d4fc rdf:first sg:person.015526451601.40
91 rdf:rest rdf:nil
92 Nd2e85b775caf4f1b93557d4ca7bc87c2 rdf:first sg:person.014255524147.49
93 rdf:rest Nbc3b78ff5c8f46b0b86c927eb776d4fc
94 Nf059d59e9fe14035952cdfc11ca44440 schema:name dimensions_id
95 schema:value pub.1146081253
96 rdf:type schema:PropertyValue
97 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
98 schema:name Mathematical Sciences
99 rdf:type schema:DefinedTerm
100 anzsrc-for:0104 schema:inDefinedTermSet anzsrc-for:
101 schema:name Statistics
102 rdf:type schema:DefinedTerm
103 sg:journal.1041634 schema:issn 0026-1335
104 1435-926X
105 schema:name Metrika
106 schema:publisher Springer Nature
107 rdf:type schema:Periodical
108 sg:person.014255524147.49 schema:affiliation grid-institutes:grid.411751.7
109 schema:familyName Kelkinnama
110 schema:givenName Maryam
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014255524147.49
112 rdf:type schema:Person
113 sg:person.015526451601.40 schema:affiliation grid-institutes:grid.440424.2
114 schema:familyName Eryilmaz
115 schema:givenName Serkan
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015526451601.40
117 rdf:type schema:Person
118 sg:pub.10.1007/978-3-642-30662-4_8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050527515
119 https://doi.org/10.1007/978-3-642-30662-4_8
120 rdf:type schema:CreativeWork
121 sg:pub.10.1007/s00184-012-0429-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016563676
122 https://doi.org/10.1007/s00184-012-0429-1
123 rdf:type schema:CreativeWork
124 sg:pub.10.1007/s00184-016-0600-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024834791
125 https://doi.org/10.1007/s00184-016-0600-1
126 rdf:type schema:CreativeWork
127 sg:pub.10.1007/s00184-021-00817-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1137308819
128 https://doi.org/10.1007/s00184-021-00817-2
129 rdf:type schema:CreativeWork
130 sg:pub.10.1007/s00184-021-00826-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1139071155
131 https://doi.org/10.1007/s00184-021-00826-1
132 rdf:type schema:CreativeWork
133 sg:pub.10.1007/s00362-009-0207-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1046538398
134 https://doi.org/10.1007/s00362-009-0207-y
135 rdf:type schema:CreativeWork
136 sg:pub.10.1007/s11749-017-0535-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085128170
137 https://doi.org/10.1007/s11749-017-0535-5
138 rdf:type schema:CreativeWork
139 sg:pub.10.1007/s13571-011-0028-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035946111
140 https://doi.org/10.1007/s13571-011-0028-6
141 rdf:type schema:CreativeWork
142 grid-institutes:grid.411751.7 schema:alternateName Department of Mathematical Sciences, Isfahan University of Technology, 84156-83111, Isfahan, Iran
143 schema:name Department of Mathematical Sciences, Isfahan University of Technology, 84156-83111, Isfahan, Iran
144 rdf:type schema:Organization
145 grid-institutes:grid.440424.2 schema:alternateName Department of Industrial Engineering, Atilim University, 06836, Ankara, Turkey
146 schema:name Department of Industrial Engineering, Atilim University, 06836, Ankara, Turkey
147 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...