{rfName}
Ge

Indexed in

Citations

113

Altmetrics

Analysis of institutional authors

Perera, RicardoCorresponding AuthorHuerta, ConsueloAuthor

Share

June 9, 2019
Publications
>
Article
No

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

Publicated to: APPLIED SOFT COMPUTING. 12 (9): 2867-2878 - 2012-09-01 12(9), DOI: 10.1016/j.asoc.2012.04.003

Authors:

Sanz, J; Perera, R; Huerta, C
[+]

Affiliations

Acciona Windpower SA, Dept Engn, Pol Ind Barasoain - Author
Tech Univ, Dept Struct Mech - Author

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. (C) 2012 Elsevier B.V. All rights reserved.
[+]

Keywords

AmplitudeClassifierDamage diagnosisDecompositionDiagnosisDynamic monitoringFault-detectionNeural networksRepresentationRotating machinerySignalsSystemsVibrationWavelet transform

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal APPLIED SOFT COMPUTING due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2012, it was in position 23/115, thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science, Artificial Intelligence.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 1.38. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 13, 2025)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 1.99 (source consulted: FECYT Mar 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2026-04-27, the following number of citations:

  • WoS: 49
  • Scopus: 64
[+]

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-27:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 72 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/23077/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 402
  • Downloads: 650
[+]

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: Last Author (HUERTA GOMEZ DE MERODIO, M. CONSUELO).

the author responsible for correspondence tasks has been PERERA VELAMAZAN, RICARDO.

[+]

Awards linked to the item

The writers acknowledge support for the work reported in this paper from the Ministry of Science and Innovation of Spain (Project BIA2010-20234-C03-01).
[+]