About: Induction Motor Diagnosis by Advanced Notch FIR Filters and the Wigner-Ville Distribution

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Induction Motor Diagnosis by Advanced Notch FIR Filters and the Wigner-Ville Distribution Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6642083
Description	During the last years, several time-frequency decomposition tools have been applied for the diagnosis of induction motors, for those cases in which the traditional procedures, such as motor current signature analysis, cannot yield the necessary response. Among them, the Cohen distributions have been widely selected to study transient and even stationary operation due to their high-resolution and detailed information provided at all frequencies. Their main drawback, the cross-terms, has been tackled either modifying the distribution, or carrying out a pretreatment of the signal before computing its time-frequency decomposition. In this paper, a filtering process is proposed that uses advanced notch filters in order to remove constant frequency components present in the current of an induction motor, prior to the computation of its distribution, to study rotor asymmetries and mixed eccentricities. In transient operation of machines directly connected to the grid, this procedure effectively eliminates most of the artifacts that have prevented the use of these tools, allowing a wideband analysis and the definition of a precise quantification parameter able to follow the evolution of their state. During the last years, several time-frequency decomposition tools have been applied for the diagnosis of induction motors, for those cases in which the traditional procedures, such as motor current signature analysis, cannot yield the necessary response. Among them, the Cohen distributions have been widely selected to study transient and even stationary operation due to their high-resolution and detailed information provided at all frequencies. Their main drawback, the cross-terms, has been tackled either modifying the distribution, or carrying out a pretreatment of the signal before computing its time-frequency decomposition. In this paper, a filtering process is proposed that uses advanced notch filters in order to remove constant frequency components present in the current of an induction motor, prior to the computation of its distribution, to study rotor asymmetries and mixed eccentricities. In transient operation of machines directly connected to the grid, this procedure effectively eliminates most of the artifacts that have prevented the use of these tools, allowing a wideband analysis and the definition of a precise quantification parameter able to follow the evolution of their state. (en)
Title	Induction Motor Diagnosis by Advanced Notch FIR Filters and the Wigner-Ville Distribution Induction Motor Diagnosis by Advanced Notch FIR Filters and the Wigner-Ville Distribution (en)
skos:prefLabel	Induction Motor Diagnosis by Advanced Notch FIR Filters and the Wigner-Ville Distribution Induction Motor Diagnosis by Advanced Notch FIR Filters and the Wigner-Ville Distribution (en)
skos:notation	RIV/68407700:21260/14:00213385!RIV15-GA0-21260___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GAP102/11/1795)
http://linked.open...iv/cisloPeriodika	8
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Vlček, Miroslav
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta dopravní
http://linked.open...dnocenehoVysledku	21238
http://linked.open...ai/riv/idVysledku	RIV/68407700:21260/14:00213385
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	AC machines; fault diagnosis; finite-impulse response (FIR) filter; prognosis; time-frequency distributions (TFD); transient (en)
http://linked.open.../riv/klicoveSlovo	AC machines finite-impulse response (FIR) filter time-frequency distributions (TFD) fault diagnosis prognosis transient
http://linked.open...odStatuVydavatele	FR - Francouzská republika
http://linked.open...ontrolniKodProRIV	[F32C288DB2FF]
http://linked.open...i/riv/nazevZdroje	IEEE Transactions on Industrial Electronics
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Novel selective transforms for non-stationary signal processing
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	66
http://linked.open...iv/tvurceVysledku	Vlček, Miroslav Antonino-Daviu, Jose A. Climente-Alarcon, Vicente Riera-Guasp, Martin
http://linked.open...ain/vavai/riv/wos	000331791100041
issn	0278-0046
number of pages	11 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/TIE.2013.2286581
http://localhost/t...ganizacniJednotka	21260

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 77 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software