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

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 failu...

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Main Authors: Roberto Outa, Fabio Roberto Chavarette, Vishnu Narayan Mishra, Aparecido Carlos Gonçalves, Adriana Garcia, Sandro da Silva Pinto, Laxmi Rathour, Lakshmi Narayan Mishra
Format: Article
Language:English
Published: Universidade Federal de Viçosa (UFV) 2022-01-01
Series:The Journal of Engineering and Exact Sciences
Subjects:
Online Access:https://periodicos.ufv.br/jcec/article/view/13673
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author Roberto Outa
Fabio Roberto Chavarette
Vishnu Narayan Mishra
Aparecido Carlos Gonçalves
Adriana Garcia
Sandro da Silva Pinto
Laxmi Rathour
Lakshmi Narayan Mishra
author_facet Roberto Outa
Fabio Roberto Chavarette
Vishnu Narayan Mishra
Aparecido Carlos Gonçalves
Adriana Garcia
Sandro da Silva Pinto
Laxmi Rathour
Lakshmi Narayan Mishra
author_sort Roberto Outa
collection DOAJ
description 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.
format Article
id doaj-art-8ecf2447db7440dbb83c97a9d4b97511
institution Kabale University
issn 2527-1075
language English
publishDate 2022-01-01
publisher Universidade Federal de Viçosa (UFV)
record_format Article
series The Journal of Engineering and Exact Sciences
spelling doaj-art-8ecf2447db7440dbb83c97a9d4b975112025-02-02T19:56:45ZengUniversidade Federal de Viçosa (UFV)The Journal of Engineering and Exact Sciences2527-10752022-01-018110.18540/jcecvl8iss1pp13673-01-18eAnalysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear CouplingRoberto Outa0Fabio Roberto Chavarette1Vishnu Narayan Mishra2Aparecido Carlos Gonçalves3Adriana Garcia 4Sandro da Silva Pinto5Laxmi Rathour6Lakshmi Narayan Mishra7Faculdade de Tecnologia de Araçatuba – Faculdade de Tecnologia de LinsUNESP - Univ. Estadual Paulista - Departamento de Engenharia, Física e Matemática do Instituto de QuímicaIndira Gandhi National Tribal University, Lalpur, Amarkantak, Anuppur 484 887, Madhya Pradesh, IndiaUNESP - Univ. Estadual Paulista - Faculdade de Engenharia de Ilha Solteira, Departamento de Engenharia MecânicaInstitute of Technological Research of the State of São Paulo S.A - IPT Faculdade de Tecnologia de LinsWard number – 16, Bhagatbandh, Anuppur 484 224, Madhya PradeshDepartment of Mathematics, School of Advanced Sciences, VIT University, Tamil Nadu 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. https://periodicos.ufv.br/jcec/article/view/13673Prognosis. Hybrid Systems. Gears.
spellingShingle Roberto Outa
Fabio Roberto Chavarette
Vishnu Narayan Mishra
Aparecido Carlos Gonçalves
Adriana Garcia
Sandro da Silva Pinto
Laxmi Rathour
Lakshmi Narayan Mishra
Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling
The Journal of Engineering and Exact Sciences
Prognosis. Hybrid Systems. Gears.
title Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling
title_full Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling
title_fullStr Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling
title_full_unstemmed Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling
title_short Analysis and Prognosis of Failures in Intelligent Hybrid Systems Using Bioengineering: Gear Coupling
title_sort analysis and prognosis of failures in intelligent hybrid systems using bioengineering gear coupling
topic Prognosis. Hybrid Systems. Gears.
url https://periodicos.ufv.br/jcec/article/view/13673
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