Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling

Autores/as

  • Roberto Outa Faculdade de Tecnologia de Araçatuba – Faculdade de Tecnologia de Lins https://orcid.org/0000-0002-8649-1722
  • Fabio Roberto Chavarette UNESP - Univ. Estadual Paulista - Departamento de Engenharia, Física e Matemática do Instituto de Química https://orcid.org/0000-0002-1203-7586
  • Vishnu Narayan Mishra Indira Gandhi National Tribal University, Lalpur, Amarkantak, Anuppur 484 887, Madhya Pradesh, India https://orcid.org/0000-0002-2159-7710
  • Aparecido Carlos Gonçalves UNESP - Univ. Estadual Paulista - Faculdade de Engenharia de Ilha Solteira, Departamento de Engenharia Mecânica https://orcid.org/0000-0001-5376-3392
  • Adriana Garcia Institute of Technological Research of the State of São Paulo S.A - IPT
  • Sandro da Silva Pinto Faculdade de Tecnologia de Lins
  • Laxmi Rathour Ward number – 16, Bhagatbandh, Anuppur 484 224, Madhya Pradesh
  • Lakshmi Narayan Mishra Department of Mathematics, School of Advanced Sciences, VIT University, Tamil Nadu https://orcid.org/0000-0001-7774-7290

DOI:

https://doi.org/10.18540/jcecvl8iss1pp13673-01-18e

Palabras clave:

Prognosis. Hybrid Systems. Gears.

Resumen

This work is of multidisciplinary concept, whose development is difficult to perform. Considering also that, in one of the steps, the similarity between the FRF of the vibration and acoustic signal is demonstrated. The objective of this work is the analysis and prognosis of the progression of failures of a pair of gears using the artificial immune system (AIS) of negative selection. In order to have this condition met, during the development of this work, the Wiener filter technique, the vibration and acoustic signal analysis (FRF), the application of negative selection AIS techniques for classification and grouping of signals were applied. The final result successfully demonstrates the effectiveness of the development process of this work and the robustness of the negative selection AIS algorithm.

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Publicado

2022-01-12

Cómo citar

Outa, R., Chavarette, F. R., Mishra, V. N., Gonçalves, A. C., Garcia , A., Pinto, S. da S., Rathour, L., & Mishra, L. N. (2022). Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling. The Journal of Engineering and Exact Sciences, 8(1), 13673–01. https://doi.org/10.18540/jcecvl8iss1pp13673-01-18e

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