AT522937A3 - Method for the detection of technical irregularities of railway vehicles from the analysis of sound and vibration data - Google Patents

Method for the detection of technical irregularities of railway vehicles from the analysis of sound and vibration data Download PDF

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Publication number
AT522937A3
AT522937A3 AT601992019A AT601992019A AT522937A3 AT 522937 A3 AT522937 A3 AT 522937A3 AT 601992019 A AT601992019 A AT 601992019A AT 601992019 A AT601992019 A AT 601992019A AT 522937 A3 AT522937 A3 AT 522937A3
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Austria
Prior art keywords
fband
frep
fsi
data structure
dimensional data
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AT601992019A
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German (de)
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AT522937A2 (en
AT522937B1 (en
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H1/00—Measuring characteristics of vibrations in solids by using direct conduction to the detector
    • G01H1/12—Measuring characteristics of vibrations in solids by using direct conduction to the detector of longitudinal or not specified vibrations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H5/00—Measuring propagation velocity of ultrasonic, sonic or infrasonic waves, e.g. of pressure waves

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

Die Erfindung betrifft ein computerimplementiertes Verfahren zur Detektion von technischen Irregularitäten an einem Schienenfahrzeug, - wobei die von dem Schienenfahrzeug während des Passierens des Messquerschnitts erzeugten Schallemissionen detektiert werden, - wobei der Messzeitraum den Zeitbereich umfasst, in dem das Schienenfahrzeug den Messquerschnitt vollständig passiert, - wobei als Ergebnis eines mathematischen Analyseschritts eine dreidimensionale Datenstruktur (fsi3(t, fband, frep)) vorliegt, - wobei in einem Entscheidungsschritt basierend auf der dreidimensionalen Datenstruktur (fsi3(t, fband, frep)) ein vom jeweiligen Frequenzband (fband), der Zeit (t) und der Wiederholungsfrequenz (frep). abhängiger Flachstellenindikator (fsi) ermittelt wird, - wobei der Flachstellenindikator (fsi) die mit technischen Irregularitäten assoziierten Zeitbereiche innerhalb des Messzeitraums (tMess) angibt, und - wobei der Flachstellenindikator (fsi) ermittelt wird, indem - die einzelnen Frequenzbänder (fband) zusammengeführt werden, sodass eine zweidimensionale Datenstruktur (fsi2(t, frep)) vorliegt.The invention relates to a computer-implemented method for the detection of technical irregularities on a rail vehicle, - wherein the noise emissions generated by the rail vehicle while passing the measurement cross-section are detected, - the measurement period comprises the time range in which the rail vehicle completely passes the measurement cross-section, - where a three-dimensional data structure (fsi3 (t, fband, frep)) is available as the result of a mathematical analysis step, - in a decision step based on the three-dimensional data structure (fsi3 (t, fband, frep)) one of the respective frequency band (fband), the time (t) and the repetition frequency (frep). dependent flat spot indicator (fsi) is determined, - the flat spot indicator (fsi) indicating the time ranges associated with technical irregularities within the measurement period (tMess), and - the flat spot indicator (fsi) being determined by - the individual frequency bands (fband) are merged so that there is a two-dimensional data structure (fsi2 (t, frep)).

AT601992019A 2019-09-04 2019-09-04 Procedure for detecting technical irregularities in railway vehicles from the analysis of sound and vibration data AT522937B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AT601992019A AT522937B1 (en) 2019-09-04 2019-09-04 Procedure for detecting technical irregularities in railway vehicles from the analysis of sound and vibration data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
AT601992019A AT522937B1 (en) 2019-09-04 2019-09-04 Procedure for detecting technical irregularities in railway vehicles from the analysis of sound and vibration data

Publications (3)

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AT522937A2 AT522937A2 (en) 2021-03-15
AT522937A3 true AT522937A3 (en) 2021-09-15
AT522937B1 AT522937B1 (en) 2022-01-15

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AT601992019A AT522937B1 (en) 2019-09-04 2019-09-04 Procedure for detecting technical irregularities in railway vehicles from the analysis of sound and vibration data

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101697175A (en) * 2009-10-26 2010-04-21 华东交通大学 Simulated prediction method for rail transit noise
EP2393026A2 (en) * 2010-06-04 2011-12-07 Livermore Software Technology Corporation Systems and methods of performing vibro-acoustic analysis of a structure
CN102880767A (en) * 2012-10-19 2013-01-16 西南交通大学 Method for predicating noise simulation of rail transit bridge structure
AT511769A2 (en) * 2011-08-11 2013-02-15 Oesterreichisches Forschungs Und Pruefzentrum Arsenal Ges M B H METHOD FOR PREDICTING IMMISSIONS
CN107215353A (en) * 2017-05-26 2017-09-29 华东交通大学 A kind of remote monitoring method for early warning of track structure disease
CN107292046A (en) * 2017-07-03 2017-10-24 西南交通大学 The method of inspection and device of a kind of effect of vibration and noise reduction

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101697175A (en) * 2009-10-26 2010-04-21 华东交通大学 Simulated prediction method for rail transit noise
EP2393026A2 (en) * 2010-06-04 2011-12-07 Livermore Software Technology Corporation Systems and methods of performing vibro-acoustic analysis of a structure
AT511769A2 (en) * 2011-08-11 2013-02-15 Oesterreichisches Forschungs Und Pruefzentrum Arsenal Ges M B H METHOD FOR PREDICTING IMMISSIONS
CN102880767A (en) * 2012-10-19 2013-01-16 西南交通大学 Method for predicating noise simulation of rail transit bridge structure
CN107215353A (en) * 2017-05-26 2017-09-29 华东交通大学 A kind of remote monitoring method for early warning of track structure disease
CN107292046A (en) * 2017-07-03 2017-10-24 西南交通大学 The method of inspection and device of a kind of effect of vibration and noise reduction

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AT522937A2 (en) 2021-03-15
AT522937B1 (en) 2022-01-15

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