Evaluation of electromagnetic performance of emerging failures in electrical machines using computational simulation View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-09

AUTHORS

Jose Rafael Guzman-Sepulveda, Rafael Guzman-Cabrera

ABSTRACT

Common failures in industrial induction motors equipped with squirrel cage rotor are examined in this paper. These failures are: broken rotor bars and short circuit in the inter-turn winding. The broken rotor bars failure was simulated with two consecutive broken bars in order to see how the magnetic flux density is affected. The inter-turn short circuit was simulated with 40% reduction of winding coil in an inter-turn short circuit, for one of the phases. The waveform of the flux density was plotted directly, while the analysis of the harmonic distribution and its relation to the electrical failures was performed in the Fourier domain. The proposed methodology allows to clearly identify the fault conditions analyzed. Comparative test of the real failure was performed in order to verify the results obtained from the simulation; good agreement between simulation and experimental measurements was obtained. More... »

PAGES

1491-1496

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00202-017-0604-5

DOI

http://dx.doi.org/10.1007/s00202-017-0604-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1090774530


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/2008/0204", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Condensed Matter Physics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Central Florida", 
          "id": "https://www.grid.ac/institutes/grid.170430.1", 
          "name": [
            "CREOL, The College of Optics and Photonics, University of Central Florida, 32816, Orlando, FL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guzman-Sepulveda", 
        "givenName": "Jose Rafael", 
        "id": "sg:person.010516375435.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010516375435.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universidad de Guanajuato", 
          "id": "https://www.grid.ac/institutes/grid.412891.7", 
          "name": [
            "Universidad de Guanajuato, Guanajuato, Mexico"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guzman-Cabrera", 
        "givenName": "Rafael", 
        "id": "sg:person.016474603242.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016474603242.21"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.epsr.2004.08.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007989220"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymssp.2004.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052678244"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/2943.930988", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061145089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/41.873206", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061169683"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tec.2004.837304", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061588981"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tec.2005.847955", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061589044"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tia.2009.2018975", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061618550"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tie.2006.885131", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061622650"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tie.2007.909060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061623097"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tie.2010.2089937", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061624736"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tie.2012.2229675", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061625906"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tim.2009.2012932", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061637812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tmag.2007.908479", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061680032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tmag.2010.2083639", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061683119"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-09", 
    "datePublishedReg": "2018-09-01", 
    "description": "Common failures in industrial induction motors equipped with squirrel cage rotor are examined in this paper. These failures are: broken rotor bars and short circuit in the inter-turn winding. The broken rotor bars failure was simulated with two consecutive broken bars in order to see how the magnetic flux density is affected. The inter-turn short circuit was simulated with 40% reduction of winding coil in an inter-turn short circuit, for one of the phases. The waveform of the flux density was plotted directly, while the analysis of the harmonic distribution and its relation to the electrical failures was performed in the Fourier domain. The proposed methodology allows to clearly identify the fault conditions analyzed. Comparative test of the real failure was performed in order to verify the results obtained from the simulation; good agreement between simulation and experimental measurements was obtained.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00202-017-0604-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136871", 
        "issn": [
          "0095-9197", 
          "2376-7804"
        ], 
        "name": "Electrical Engineering", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "100"
      }
    ], 
    "name": "Evaluation of electromagnetic performance of emerging failures in electrical machines using computational simulation", 
    "pagination": "1491-1496", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "41f318050c40c435507465bd770fe30d539777aa44f281902b0d013f575b14c9"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00202-017-0604-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1090774530"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00202-017-0604-5", 
      "https://app.dimensions.ai/details/publication/pub.1090774530"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:30", 
    "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/v90/0000000346_0000000346/records_99802_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00202-017-0604-5"
  }
]
 

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/s00202-017-0604-5'

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/s00202-017-0604-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00202-017-0604-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00202-017-0604-5'


 

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

113 TRIPLES      21 PREDICATES      41 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00202-017-0604-5 schema:about anzsrc-for:02
2 anzsrc-for:0204
3 schema:author Nea35f97bfc0c486fa6e0f19791e733fa
4 schema:citation https://doi.org/10.1016/j.epsr.2004.08.015
5 https://doi.org/10.1016/j.ymssp.2004.10.001
6 https://doi.org/10.1109/2943.930988
7 https://doi.org/10.1109/41.873206
8 https://doi.org/10.1109/tec.2004.837304
9 https://doi.org/10.1109/tec.2005.847955
10 https://doi.org/10.1109/tia.2009.2018975
11 https://doi.org/10.1109/tie.2006.885131
12 https://doi.org/10.1109/tie.2007.909060
13 https://doi.org/10.1109/tie.2010.2089937
14 https://doi.org/10.1109/tie.2012.2229675
15 https://doi.org/10.1109/tim.2009.2012932
16 https://doi.org/10.1109/tmag.2007.908479
17 https://doi.org/10.1109/tmag.2010.2083639
18 schema:datePublished 2018-09
19 schema:datePublishedReg 2018-09-01
20 schema:description Common failures in industrial induction motors equipped with squirrel cage rotor are examined in this paper. These failures are: broken rotor bars and short circuit in the inter-turn winding. The broken rotor bars failure was simulated with two consecutive broken bars in order to see how the magnetic flux density is affected. The inter-turn short circuit was simulated with 40% reduction of winding coil in an inter-turn short circuit, for one of the phases. The waveform of the flux density was plotted directly, while the analysis of the harmonic distribution and its relation to the electrical failures was performed in the Fourier domain. The proposed methodology allows to clearly identify the fault conditions analyzed. Comparative test of the real failure was performed in order to verify the results obtained from the simulation; good agreement between simulation and experimental measurements was obtained.
21 schema:genre research_article
22 schema:inLanguage en
23 schema:isAccessibleForFree false
24 schema:isPartOf N79de1e116b03402b9220eed3c7da4390
25 N99c409d79e434de0953065ab6f2e1f9d
26 sg:journal.1136871
27 schema:name Evaluation of electromagnetic performance of emerging failures in electrical machines using computational simulation
28 schema:pagination 1491-1496
29 schema:productId N5151a35412ac4969a548b566f7983b16
30 N529e343e678a41ea95fbecb7b61475cd
31 Nb301061237ea48e79a5fa6ed60981baf
32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090774530
33 https://doi.org/10.1007/s00202-017-0604-5
34 schema:sdDatePublished 2019-04-11T09:30
35 schema:sdLicense https://scigraph.springernature.com/explorer/license/
36 schema:sdPublisher N6845321977f4451eb49becbc5f023592
37 schema:url https://link.springer.com/10.1007%2Fs00202-017-0604-5
38 sgo:license sg:explorer/license/
39 sgo:sdDataset articles
40 rdf:type schema:ScholarlyArticle
41 N4764c4e6c9a046be8e3c95b0c0a1bee0 rdf:first sg:person.016474603242.21
42 rdf:rest rdf:nil
43 N5151a35412ac4969a548b566f7983b16 schema:name dimensions_id
44 schema:value pub.1090774530
45 rdf:type schema:PropertyValue
46 N529e343e678a41ea95fbecb7b61475cd schema:name doi
47 schema:value 10.1007/s00202-017-0604-5
48 rdf:type schema:PropertyValue
49 N6845321977f4451eb49becbc5f023592 schema:name Springer Nature - SN SciGraph project
50 rdf:type schema:Organization
51 N79de1e116b03402b9220eed3c7da4390 schema:issueNumber 3
52 rdf:type schema:PublicationIssue
53 N99c409d79e434de0953065ab6f2e1f9d schema:volumeNumber 100
54 rdf:type schema:PublicationVolume
55 Nb301061237ea48e79a5fa6ed60981baf schema:name readcube_id
56 schema:value 41f318050c40c435507465bd770fe30d539777aa44f281902b0d013f575b14c9
57 rdf:type schema:PropertyValue
58 Nea35f97bfc0c486fa6e0f19791e733fa rdf:first sg:person.010516375435.66
59 rdf:rest N4764c4e6c9a046be8e3c95b0c0a1bee0
60 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
61 schema:name Physical Sciences
62 rdf:type schema:DefinedTerm
63 anzsrc-for:0204 schema:inDefinedTermSet anzsrc-for:
64 schema:name Condensed Matter Physics
65 rdf:type schema:DefinedTerm
66 sg:journal.1136871 schema:issn 0095-9197
67 2376-7804
68 schema:name Electrical Engineering
69 rdf:type schema:Periodical
70 sg:person.010516375435.66 schema:affiliation https://www.grid.ac/institutes/grid.170430.1
71 schema:familyName Guzman-Sepulveda
72 schema:givenName Jose Rafael
73 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010516375435.66
74 rdf:type schema:Person
75 sg:person.016474603242.21 schema:affiliation https://www.grid.ac/institutes/grid.412891.7
76 schema:familyName Guzman-Cabrera
77 schema:givenName Rafael
78 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016474603242.21
79 rdf:type schema:Person
80 https://doi.org/10.1016/j.epsr.2004.08.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007989220
81 rdf:type schema:CreativeWork
82 https://doi.org/10.1016/j.ymssp.2004.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052678244
83 rdf:type schema:CreativeWork
84 https://doi.org/10.1109/2943.930988 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061145089
85 rdf:type schema:CreativeWork
86 https://doi.org/10.1109/41.873206 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061169683
87 rdf:type schema:CreativeWork
88 https://doi.org/10.1109/tec.2004.837304 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061588981
89 rdf:type schema:CreativeWork
90 https://doi.org/10.1109/tec.2005.847955 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061589044
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1109/tia.2009.2018975 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061618550
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1109/tie.2006.885131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061622650
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1109/tie.2007.909060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061623097
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1109/tie.2010.2089937 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061624736
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1109/tie.2012.2229675 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061625906
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1109/tim.2009.2012932 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061637812
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1109/tmag.2007.908479 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061680032
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1109/tmag.2010.2083639 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061683119
107 rdf:type schema:CreativeWork
108 https://www.grid.ac/institutes/grid.170430.1 schema:alternateName University of Central Florida
109 schema:name CREOL, The College of Optics and Photonics, University of Central Florida, 32816, Orlando, FL, USA
110 rdf:type schema:Organization
111 https://www.grid.ac/institutes/grid.412891.7 schema:alternateName Universidad de Guanajuato
112 schema:name Universidad de Guanajuato, Guanajuato, Mexico
113 rdf:type schema:Organization
 




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


...