About: Avoidance of Speckle Noise in Laser Vibrometry by the Use of Kurtosis Ratio: Application to Mechanical Fault Diagnostics     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)

AttributesValues
rdf:type
Description
  • This paper presents a statistical technique to enhance vibration signals measured by Laser Doppler Vibrometry (LDV). The method has been optimised for LDV signals measured on bearings of universal electric motors and applied to quality control of washing machines. Inherent problems of LDV are addressed, particularly the speckle noise occurring when rough surfaces are measured. The presence of speckle noise is detected using a new scalar indicator Kurtosis Ratio (KR), specifically designed to quantify the amount of random impulses generated by this noise. The KR is a ratio of the standard kurtosis and a robust estimate of kurtosis, thus indicating the outliers in the data. Since it is inefficient to reject the signals affected by the speckle noise, an algorithm for selecting an undistorted portion of a signal is proposed. The algorithm includes band-pass filtering and segmentation of the signal, as well as thresholding of the KR computed for each filtered signal segment.
  • This paper presents a statistical technique to enhance vibration signals measured by Laser Doppler Vibrometry (LDV). The method has been optimised for LDV signals measured on bearings of universal electric motors and applied to quality control of washing machines. Inherent problems of LDV are addressed, particularly the speckle noise occurring when rough surfaces are measured. The presence of speckle noise is detected using a new scalar indicator Kurtosis Ratio (KR), specifically designed to quantify the amount of random impulses generated by this noise. The KR is a ratio of the standard kurtosis and a robust estimate of kurtosis, thus indicating the outliers in the data. Since it is inefficient to reject the signals affected by the speckle noise, an algorithm for selecting an undistorted portion of a signal is proposed. The algorithm includes band-pass filtering and segmentation of the signal, as well as thresholding of the KR computed for each filtered signal segment. (en)
  • V tomto článku je navržena statistická metoda pro zlepšení vibračních signálů naměřených pomocí laserové Dopplerovské vibrometrie (LDV). Tato metoda byla optimalizována pro LDV signály z ložisek univerzálních elektrických motorů a byla aplikována pro kontrolu kvality domácích praček. Jsou diskutovány důležité problémy LDV, zejména pak tzv. speckle šum vznikající při měření opticky hrubých povrchů. Přítomnost tohoto šumu je detekována pomocí nového skalárního indikátoru Kurtosis Ratio (KR). KR je definováno jako poměr standartní špičatosti a robustního odhadu špičatosti, díky čemuž vyjadřuje přítomnost mimolehlých hodnot v datech. Jelikož je neefektivní vyřazovat signály zkreslené tímto šumem, je navržen algoritmus pro automatickou selekci nepoškozené části signálu. Tento algoritmus se skládá z pásmové filtrace, segmentace signálu a prahování hodnoty KR pro každý segment filtrovaného signálu. (cs)
Title
  • Avoidance of Speckle Noise in Laser Vibrometry by the Use of Kurtosis Ratio: Application to Mechanical Fault Diagnostics
  • Avoidance of Speckle Noise in Laser Vibrometry by the Use of Kurtosis Ratio: Application to Mechanical Fault Diagnostics (en)
  • Redukce speckle šumu v laserové vibrometrii pomocí poměru špičatostí: Aplikace v diagnostice mechanických závad (cs)
skos:prefLabel
  • Avoidance of Speckle Noise in Laser Vibrometry by the Use of Kurtosis Ratio: Application to Mechanical Fault Diagnostics
  • Avoidance of Speckle Noise in Laser Vibrometry by the Use of Kurtosis Ratio: Application to Mechanical Fault Diagnostics (en)
  • Redukce speckle šumu v laserové vibrometrii pomocí poměru špičatostí: Aplikace v diagnostice mechanických závad (cs)
skos:notation
  • RIV/68407700:21230/08:03138541!RIV09-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GD102/03/H085), Z(MSM6840770015)
http://linked.open...iv/cisloPeriodika
  • 3
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 357504
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/08:03138541
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • kurtosis; laser vibrometer; rolling element bearing; speckle noise; universal electric motor; washing machine (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [5B16409B0F9F]
http://linked.open...i/riv/nazevZdroje
  • Mechanical Systems and Signal Processing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 22
http://linked.open...iv/tvurceVysledku
  • Sovka, Pavel
  • Šmíd, Radislav
  • Vass, Jiří
  • Cristalli, C.
  • Randall, R. B.
  • Torcianti, B.
http://linked.open...ain/vavai/riv/wos
  • 000253124200011
http://linked.open...n/vavai/riv/zamer
issn
  • 0888-3270
number of pages
http://localhost/t...ganizacniJednotka
  • 21230
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
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, 47 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software