Detecting Punctual Damage to Gears through the Continuous Morlet Wavelet Transform
Joint Authors
Gonçalves, Aparecido Carlos
Chavarette, Fábio R.
Outa, Roberto
Pereira, Andre Luis Vinagre
Ribeiro, Rubens
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-15
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In predictive maintenance, vibration signal analyses are frequently used to diagnose reducer failures because these analyses contain information about the conditions of the mechanical components.
Reducer vibration signals are very noisy and the signal-to-noise ratio is so low that extracting information from the signal components is complex, especially in practical situations.
Therefore, signal processing techniques are used to solve this problem and facilitate the retrieval of information.
In this work, the adopted technique included noise-canceling technique, synchronous temporal mean (TSA), and continuous Morlet wavelet transform (CWT), designed to extract resources and diagnose local gear damage.
These techniques are used in measured signals in an experimental workbench consisting of the gear pair coupled to a motor and a generator.
The experiment was monitored according to the conditions of a gear pair throughout its useful life.
The continuous wavelet transforms accurately identified faults in the gear teeth, and it was possible to detect in which tooth the fault was occurring.
American Psychological Association (APA)
Pereira, Andre Luis Vinagre& Gonçalves, Aparecido Carlos& Ribeiro, Rubens& Chavarette, Fábio R.& Outa, Roberto. 2020. Detecting Punctual Damage to Gears through the Continuous Morlet Wavelet Transform. Shock and Vibration،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1213128
Modern Language Association (MLA)
Pereira, Andre Luis Vinagre…[et al.]. Detecting Punctual Damage to Gears through the Continuous Morlet Wavelet Transform. Shock and Vibration No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1213128
American Medical Association (AMA)
Pereira, Andre Luis Vinagre& Gonçalves, Aparecido Carlos& Ribeiro, Rubens& Chavarette, Fábio R.& Outa, Roberto. Detecting Punctual Damage to Gears through the Continuous Morlet Wavelet Transform. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1213128
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1213128