On the broken rotor bar diagnosis using time–frequency analysis: 'Is one spectral representation enough for the characterisation of monitored signals?'. Issue 7 (17th May 2019)
- Record Type:
- Journal Article
- Title:
- On the broken rotor bar diagnosis using time–frequency analysis: 'Is one spectral representation enough for the characterisation of monitored signals?'. Issue 7 (17th May 2019)
- Main Title:
- On the broken rotor bar diagnosis using time–frequency analysis: 'Is one spectral representation enough for the characterisation of monitored signals?'
- Authors:
- Panagiotou, Panagiotis A.
Arvanitakis, Ioannis
Lophitis, Neophytos
Antonino‐Daviu, Jose A.
Gyftakis, Konstantinos N. - Abstract:
- Abstract : This work enhances the knowledge of the diagnostic potential of the broken bar fault in induction motors. Since a series of studies have been published over the years regarding condition monitoring and fault diagnostics of these machines, it is essential to reach a common ground on why – sometimes – different techniques render different results. In this context, an investigation is provided with regards to the optimal window that should be adopted for the implementation of a proper time–frequency analysis of the monitored signals. On this agenda, this study attempts to set lower and upper bound limits for proper windowing from the digital signal processing point of view. This is done by proposing a formula for the lower limit, which is derived according to the specific frequencies one desires to put under inspection and which are the fault‐related signatures. Finally, a discussion on the upper bound is put onwards; results from finite‐element simulations are examined with the discussed approach in both the transient regime and the steady state, while experimental results verify the simulations with satisfying accuracy.
- Is Part Of:
- IET electric power applications. Volume 13:Issue 7(2019)
- Journal:
- IET electric power applications
- Issue:
- Volume 13:Issue 7(2019)
- Issue Display:
- Volume 13, Issue 7 (2019)
- Year:
- 2019
- Volume:
- 13
- Issue:
- 7
- Issue Sort Value:
- 2019-0013-0007-0000
- Page Start:
- 932
- Page End:
- 942
- Publication Date:
- 2019-05-17
- Subjects:
- time‐frequency analysis -- induction motors -- condition monitoring -- rotors -- fault diagnosis -- signal processing -- finite element analysis
broken rotor bar diagnosis -- spectral representation -- monitored signals -- diagnostic potential -- broken bar fault -- induction motors -- condition monitoring -- fault diagnostics -- common ground -- optimal window -- upper bound limits -- specific frequencies -- fault‐related signatures -- experimental results -- time–frequency analysis
Electric power -- Periodicals
Electric power systems -- Periodicals
621.305 - Journal URLs:
- http://digital-library.theiet.org/content/journals/iet-epa ↗
http://ieeexplore.ieee.org/servlet/opac?punumber=4079749 ↗
http://scitation.aip.org/dbt/dbt.jsp?KEY=IEPAAN ↗
https://ietresearch.onlinelibrary.wiley.com/journal/17518679 ↗
http://www.theiet.org/ ↗
http://www.ietdl.org/IP-EPA ↗ - DOI:
- 10.1049/iet-epa.2018.5512 ↗
- Languages:
- English
- ISSNs:
- 1751-8660
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4363.252500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17409.xml