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Article

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Title

Tram gearbox condition monitoring method based on trackside acoustic measurement

Authors

[ 1 ] Instytut Transportu, Wydział Inżynierii Lądowej i Transportu, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.7] Civil engineering, geodesy and transport

Year of publication

2023

Published in

Measurement

Journal year: 2023 | Journal volume: vol. 207

Article type

scientific article

Publication language

english

Keywords
EN
  • tram
  • condition monitoring
  • gearbox fault diagnosis
  • empirical mode decomposition
  • decision tree
  • machine-learning
Abstract

EN The article presents the genesis of the work to develop a method of diagnosing a tram transmission from the track position using acoustic signals. Significant influence of the damaged gearbox on acoustic phenomena in the vicinity of a tram line was shown, especially visible changes in psychoacoustic indicators. Due to the non-stationary nature of the acoustic signals, analyses of the microphone matrix were carried out using the empirical mode decomposition. The developed quantitative measure of individual IMFs served as a classifier in decision trees. For the developed CART type decision trees, the indicators of the effectiveness of the diagnosis were calculated, i.e., the level of unnecessary repairs and the level of undetected damage. Based on these results, the most effective tree was selected, which was used to develop the final, not yet developed, algorithm to diagnose the tram transmission without the need to mount the equipment on the vehicle.

Pages (from - to)

112358-1 - 112358-14

DOI

10.1016/j.measurement.2022.112358

URL

https://www.sciencedirect.com/science/article/pii/S0263224122015548/pdfft?md5=350a0a18312e93031de6f5ecde664738&pid=1-s2.0-S0263224122015548-main.pdf

Comments

article number: 112358

License type

other

Ministry points / journal

200

Impact Factor

5,6 [List 2022]

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