Reliability Modeling of Railway Signaling System by Markov Process View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019

AUTHORS

Nikesh Kumar , Subhash Chandra Panja , Rahul Baidya

ABSTRACT

Railway signaling system is the most important system for efficient and reliable operation of trains. The signaling systems are divided into subsystems, namely signal unit, track unit, and point-and-point machine. Further, the reliability, availability, and maintainability of signaling system and subsystems are required for safe operation. The study uses Markov process to gauge the reliability of the system and subsystem. Markov process is a mathematical technique that undergoes transitions from one state to another, between a finite or countable number of possible states. Then, a case study was developed in one of the busiest tracks in eastern India. The data obtained was used to analyze the reliability pattern of three signaling subsystems. Special attention in relation to maintenance and inspection activities and logistics support is required to improve the reliability and maintainability of signaling subsystems and system, so as to make the railway signaling system sustainable in long run. The Indian Railway (IR) on an average carries 22 million passengers a day. It is estimated that IR solid waste generated at major railway stations across the country is nearly 670 tons per day (TPD) (or 245,000 TPY). Thus, efficient and reliable signaling system is necessary to reduce the waste generation at the station as waste generation at the station is directly proportional to the time it is waiting in the station/line. Thus, efficient signaling will make the station/line cleaner. More... »

PAGES

1077-1085

Book

TITLE

Waste Management and Resource Efficiency

ISBN

978-981-10-7289-5
978-981-10-7290-1

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-981-10-7290-1_89

DOI

http://dx.doi.org/10.1007/978-981-10-7290-1_89

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107153627


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/2008/0104", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Statistics", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Institute of Engineering & Management"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kumar", 
        "givenName": "Nikesh", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jadavpur University", 
          "id": "https://www.grid.ac/institutes/grid.216499.1", 
          "name": [
            "Jadavpur University"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Panja", 
        "givenName": "Subhash Chandra", 
        "id": "sg:person.011013446401.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011013446401.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jadavpur University", 
          "id": "https://www.grid.ac/institutes/grid.216499.1", 
          "name": [
            "Institute of Engineering & Management", 
            "Jadavpur University"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baidya", 
        "givenName": "Rahul", 
        "id": "sg:person.07716306203.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07716306203.75"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0967-0661(01)00159-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019294492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0141-9331(94)90111-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030959247"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0141-9331(94)90111-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030959247"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pip.825", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031138551"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tencon.1992.271897", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086332078"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019", 
    "datePublishedReg": "2019-01-01", 
    "description": "Railway signaling system is the most important system for efficient and reliable operation of trains. The signaling systems are divided into subsystems, namely signal unit, track unit, and point-and-point machine. Further, the reliability, availability, and maintainability of signaling system and subsystems are required for safe operation. The study uses Markov process to gauge the reliability of the system and subsystem. Markov process is a mathematical technique that undergoes transitions from one state to another, between a finite or countable number of possible states. Then, a case study was developed in one of the busiest tracks in eastern India. The data obtained was used to analyze the reliability pattern of three signaling subsystems. Special attention in relation to maintenance and inspection activities and logistics support is required to improve the reliability and maintainability of signaling subsystems and system, so as to make the railway signaling system sustainable in long run. The Indian Railway (IR) on an average carries 22 million passengers a day. It is estimated that IR solid waste generated at major railway stations across the country is nearly 670 tons per day (TPD) (or 245,000 TPY). Thus, efficient and reliable signaling system is necessary to reduce the waste generation at the station as waste generation at the station is directly proportional to the time it is waiting in the station/line. Thus, efficient signaling will make the station/line cleaner.", 
    "editor": [
      {
        "familyName": "Ghosh", 
        "givenName": "Sadhan Kumar", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-981-10-7290-1_89", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-981-10-7289-5", 
        "978-981-10-7290-1"
      ], 
      "name": "Waste Management and Resource Efficiency", 
      "type": "Book"
    }, 
    "name": "Reliability Modeling of Railway Signaling System by Markov Process", 
    "pagination": "1077-1085", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-981-10-7290-1_89"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "19d2b2f3564fcbd202558722bc08b7cfd522ed0e1e12e8912891be68c2a975de"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1107153627"
        ]
      }
    ], 
    "publisher": {
      "location": "Singapore", 
      "name": "Springer Singapore", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-981-10-7290-1_89", 
      "https://app.dimensions.ai/details/publication/pub.1107153627"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T00:23", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8697_00000535.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-981-10-7290-1_89"
  }
]
 

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.10.1007/978-981-10-7290-1_89'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-981-10-7290-1_89'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-981-10-7290-1_89'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-981-10-7290-1_89'


 

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

93 TRIPLES      23 PREDICATES      31 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-981-10-7290-1_89 schema:about anzsrc-for:01
2 anzsrc-for:0104
3 schema:author Nb1eac19e31e74a9f9b9d5b76059e177a
4 schema:citation https://doi.org/10.1002/pip.825
5 https://doi.org/10.1016/0141-9331(94)90111-2
6 https://doi.org/10.1016/s0967-0661(01)00159-9
7 https://doi.org/10.1109/tencon.1992.271897
8 schema:datePublished 2019
9 schema:datePublishedReg 2019-01-01
10 schema:description Railway signaling system is the most important system for efficient and reliable operation of trains. The signaling systems are divided into subsystems, namely signal unit, track unit, and point-and-point machine. Further, the reliability, availability, and maintainability of signaling system and subsystems are required for safe operation. The study uses Markov process to gauge the reliability of the system and subsystem. Markov process is a mathematical technique that undergoes transitions from one state to another, between a finite or countable number of possible states. Then, a case study was developed in one of the busiest tracks in eastern India. The data obtained was used to analyze the reliability pattern of three signaling subsystems. Special attention in relation to maintenance and inspection activities and logistics support is required to improve the reliability and maintainability of signaling subsystems and system, so as to make the railway signaling system sustainable in long run. The Indian Railway (IR) on an average carries 22 million passengers a day. It is estimated that IR solid waste generated at major railway stations across the country is nearly 670 tons per day (TPD) (or 245,000 TPY). Thus, efficient and reliable signaling system is necessary to reduce the waste generation at the station as waste generation at the station is directly proportional to the time it is waiting in the station/line. Thus, efficient signaling will make the station/line cleaner.
11 schema:editor N3e9e503781c6407d93b6edda9c091edc
12 schema:genre chapter
13 schema:inLanguage en
14 schema:isAccessibleForFree false
15 schema:isPartOf Nc6e90843dfcf4c84a7ad742b51a1b2c8
16 schema:name Reliability Modeling of Railway Signaling System by Markov Process
17 schema:pagination 1077-1085
18 schema:productId N07964552e5b4437899bb46ec70d9c801
19 Nb47ead6674aa4ab8be97637fa9559419
20 Nb5e43f873318427598af3644f2baf934
21 schema:publisher N4de834913e844972b03f0764a411d4b8
22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107153627
23 https://doi.org/10.1007/978-981-10-7290-1_89
24 schema:sdDatePublished 2019-04-16T00:23
25 schema:sdLicense https://scigraph.springernature.com/explorer/license/
26 schema:sdPublisher Nb2d9685a982d4338bf9cb7abff00262f
27 schema:url http://link.springer.com/10.1007/978-981-10-7290-1_89
28 sgo:license sg:explorer/license/
29 sgo:sdDataset chapters
30 rdf:type schema:Chapter
31 N07964552e5b4437899bb46ec70d9c801 schema:name dimensions_id
32 schema:value pub.1107153627
33 rdf:type schema:PropertyValue
34 N14bae98045e841bfa2466936d8f81ce9 schema:name Institute of Engineering & Management
35 rdf:type schema:Organization
36 N3e9e503781c6407d93b6edda9c091edc rdf:first Nfd045aa8530240598ba2dfa3faa49f94
37 rdf:rest rdf:nil
38 N4de834913e844972b03f0764a411d4b8 schema:location Singapore
39 schema:name Springer Singapore
40 rdf:type schema:Organisation
41 N73343b2c18314554875dd64be8814d42 rdf:first sg:person.011013446401.38
42 rdf:rest Nec5ac18f0a4b404ea80fbd1de416315b
43 Nb1eac19e31e74a9f9b9d5b76059e177a rdf:first Nc632e10cae22460db3628bbdeef95a12
44 rdf:rest N73343b2c18314554875dd64be8814d42
45 Nb2d9685a982d4338bf9cb7abff00262f schema:name Springer Nature - SN SciGraph project
46 rdf:type schema:Organization
47 Nb47ead6674aa4ab8be97637fa9559419 schema:name doi
48 schema:value 10.1007/978-981-10-7290-1_89
49 rdf:type schema:PropertyValue
50 Nb5e43f873318427598af3644f2baf934 schema:name readcube_id
51 schema:value 19d2b2f3564fcbd202558722bc08b7cfd522ed0e1e12e8912891be68c2a975de
52 rdf:type schema:PropertyValue
53 Nc632e10cae22460db3628bbdeef95a12 schema:affiliation N14bae98045e841bfa2466936d8f81ce9
54 schema:familyName Kumar
55 schema:givenName Nikesh
56 rdf:type schema:Person
57 Nc6e90843dfcf4c84a7ad742b51a1b2c8 schema:isbn 978-981-10-7289-5
58 978-981-10-7290-1
59 schema:name Waste Management and Resource Efficiency
60 rdf:type schema:Book
61 Nec5ac18f0a4b404ea80fbd1de416315b rdf:first sg:person.07716306203.75
62 rdf:rest rdf:nil
63 Nfd045aa8530240598ba2dfa3faa49f94 schema:familyName Ghosh
64 schema:givenName Sadhan Kumar
65 rdf:type schema:Person
66 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
67 schema:name Mathematical Sciences
68 rdf:type schema:DefinedTerm
69 anzsrc-for:0104 schema:inDefinedTermSet anzsrc-for:
70 schema:name Statistics
71 rdf:type schema:DefinedTerm
72 sg:person.011013446401.38 schema:affiliation https://www.grid.ac/institutes/grid.216499.1
73 schema:familyName Panja
74 schema:givenName Subhash Chandra
75 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011013446401.38
76 rdf:type schema:Person
77 sg:person.07716306203.75 schema:affiliation https://www.grid.ac/institutes/grid.216499.1
78 schema:familyName Baidya
79 schema:givenName Rahul
80 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07716306203.75
81 rdf:type schema:Person
82 https://doi.org/10.1002/pip.825 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031138551
83 rdf:type schema:CreativeWork
84 https://doi.org/10.1016/0141-9331(94)90111-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030959247
85 rdf:type schema:CreativeWork
86 https://doi.org/10.1016/s0967-0661(01)00159-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019294492
87 rdf:type schema:CreativeWork
88 https://doi.org/10.1109/tencon.1992.271897 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086332078
89 rdf:type schema:CreativeWork
90 https://www.grid.ac/institutes/grid.216499.1 schema:alternateName Jadavpur University
91 schema:name Institute of Engineering & Management
92 Jadavpur University
93 rdf:type schema:Organization
 




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


...