Gear dynamics monitoring using discrete wavelet transformation and multi-layer perceptron neural networks

Sanz, Javier and Perera Velamazán, Ricardo and Huerta Gómez de Merodio, María Consuelo (2012). Gear dynamics monitoring using discrete wavelet transformation and multi-layer perceptron neural networks. "Applied Soft Computing", v. 12 (n. 9); pp. 2867-2878. ISSN 1568-4946. https://doi.org/10.1016/j.asoc.2012.04.003.

Description

Title: Gear dynamics monitoring using discrete wavelet transformation and multi-layer perceptron neural networks
Author/s:
  • Sanz, Javier
  • Perera Velamazán, Ricardo
  • Huerta Gómez de Merodio, María Consuelo
Item Type: Article
Título de Revista/Publicación: Applied Soft Computing
Date: September 2012
ISSN: 1568-4946
Volume: 12
Subjects:
Freetext Keywords: Damage diagnosis; Wavelet transform; Neural networks; Dynamic monitoring
Faculty: E.T.S.I. Industriales (UPM)
Department: Mecánica Estructural y Construcciones Industriales [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This paper presents a multi-stage algorithm for the dynamic condition monitoring of a gear. The algorithm provides information referred to the gear status (fault or normal condition) and estimates the mesh stiffness per shaft revolution in case that any abnormality is detected. In the first stage, the analysis of coefficients generated through discrete wavelet transformation (DWT) is proposed as a fault detection and localization tool. The second stage consists in establishing the mesh stiffness reduction associated with local failures by applying a supervised learning mode and coupled with analytical models. To do this, a multi-layer perceptron neural network has been configured using as input features statistical parameters sensitive to torsional stiffness decrease and derived from wavelet transforms of the response signal. The proposed method is applied to the gear condition monitoring and results show that it can update the mesh dynamic properties of the gear on line.

More information

Item ID: 23077
DC Identifier: http://oa.upm.es/23077/
OAI Identifier: oai:oa.upm.es:23077
DOI: 10.1016/j.asoc.2012.04.003
Official URL: http://www.sciencedirect.com/science/article/pii/S1568494612001688
Deposited by: Memoria Investigacion
Deposited on: 15 Mar 2014 08:35
Last Modified: 25 May 2017 16:31
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