View in EDS PDF Full Text

An on-line condition monitoring system for induction motors via instantaneous power analysis.

Saved in:
Bibliographic Details
Title: An on-line condition monitoring system for induction motors via instantaneous power analysis.
Authors: Irfan, M.1 irfan16.uetian@gmail.com, Saad, N.1, Ibrahim, R.1, Asirvadam, V.1
Source: Journal of Mechanical Science & Technology. Apr2015, Vol. 29 Issue 4, p1483-1492. 10p.
Subjects: Induction motors, Monitoring of machinery, Decision making, Nondestructive testing, Brushless electric motors
Abstract: Condition monitoring is an important factor in assuring well-being of motors. Existing approaches of condition monitoring are dependent on expensive special sensors. This paper reviews various forms of existing condition monitoring methods and highlights the need for an economical intelligent fault diagnosis system. In this study, the methodology taken in developing a condition monitoring system for the motor bearing faults identification, utilizing the commonly available motor stator current and voltage is demonstrated. This unique diagnostic condition monitoring system provides continuous real time tracking of the various bearing defects and determines the severity which can be adopted for fast decision making. The study on different bearing faults under no-load and full-load conditions is carried out experimentally and analyzed, and the results on the real hardware implementation confirm the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Mechanical Science & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 102059673
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: An on-line condition monitoring system for induction motors via instantaneous power analysis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Irfan%2C+M%2E%22">Irfan, M.</searchLink><relatesTo>1</relatesTo><i> irfan16.uetian@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Saad%2C+N%2E%22">Saad, N.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ibrahim%2C+R%2E%22">Ibrahim, R.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Asirvadam%2C+V%2E%22">Asirvadam, V.</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Mechanical+Science+%26+Technology%22">Journal of Mechanical Science & Technology</searchLink>. Apr2015, Vol. 29 Issue 4, p1483-1492. 10p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Induction+motors%22">Induction motors</searchLink><br /><searchLink fieldCode="DE" term="%22Monitoring+of+machinery%22">Monitoring of machinery</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Nondestructive+testing%22">Nondestructive testing</searchLink><br /><searchLink fieldCode="DE" term="%22Brushless+electric+motors%22">Brushless electric motors</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Condition monitoring is an important factor in assuring well-being of motors. Existing approaches of condition monitoring are dependent on expensive special sensors. This paper reviews various forms of existing condition monitoring methods and highlights the need for an economical intelligent fault diagnosis system. In this study, the methodology taken in developing a condition monitoring system for the motor bearing faults identification, utilizing the commonly available motor stator current and voltage is demonstrated. This unique diagnostic condition monitoring system provides continuous real time tracking of the various bearing defects and determines the severity which can be adopted for fast decision making. The study on different bearing faults under no-load and full-load conditions is carried out experimentally and analyzed, and the results on the real hardware implementation confirm the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Mechanical Science & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=102059673
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s12206-015-0321-9
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 1483
    Subjects:
      – SubjectFull: Induction motors
        Type: general
      – SubjectFull: Monitoring of machinery
        Type: general
      – SubjectFull: Decision making
        Type: general
      – SubjectFull: Nondestructive testing
        Type: general
      – SubjectFull: Brushless electric motors
        Type: general
    Titles:
      – TitleFull: An on-line condition monitoring system for induction motors via instantaneous power analysis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Irfan, M.
      – PersonEntity:
          Name:
            NameFull: Saad, N.
      – PersonEntity:
          Name:
            NameFull: Ibrahim, R.
      – PersonEntity:
          Name:
            NameFull: Asirvadam, V.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: Apr2015
              Type: published
              Y: 2015
          Identifiers:
            – Type: issn-print
              Value: 1738494X
          Numbering:
            – Type: volume
              Value: 29
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Journal of Mechanical Science & Technology
              Type: main
ResultId 1