Prognosis and mechanical structure failure detection using natural computing

• Grant number: 19/10515-4
• Support Opportunities: Regular Research Grants
• Start date: September 01, 2019
• End date: August 31, 2021
• Field of knowledge: Engineering - Mechanical Engineering - Mechanical Engineering Design
• Principal Investigator: Fábio Roberto Chavarette
• Grantee: Fábio Roberto Chavarette
• Host Institution: Instituto de Química (IQ). Universidade Estadual Paulista (UNESP). Campus de Araraquara. Araraquara , SP, Brazil
• City of the host institution: Araraquara
• Associated researchers: Roberto Outa

Abstract

Due to the industrial demand to perform tests that aim to analyze the structural integrity of any mechanical structure, even with high geometric complexities, the research related to this area received high financial investment. Inspired by biological immune systems, artificial immunological systems arise, and these present computational methods of SHM. A method with Negative Selection Algorithm is an SIA test that aims to analyze the structural integrity and can be divided into two stages: sensing and monitoring, this method was formulated from the analysis and observation of negative selection of T cells from the organism that occurs in the thymus. Experimental data will be collected and the method with Negative Selection Algorithm will be applied to verify the efficiency of this innovative proposal of the method of monitoring structural integrity. (AU)

Scientific publications

(4)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

OUTA, ROBERTO; CHAVARETTE, FABIO ROBERTO; GONCALVES, APARECIDO CARLOS; DA SILVA, SIDNEY LEAL; MISHRA, VISHNU NARAYAN; PANOSSO, ALAN RODRIGO; MISHRA, LAKSHMI NARAYAN. Reliability analysis using experimental statistical methods and AIS: application in continuous flow tubes of gaseous medium. ACTA SCIENTIARUM-TECHNOLOGY, v. 43, JAN-DEC 2021. (19/10515-4)

OUTA, ROBERTO; CHAVARETTE, FABIO ROBERTO; TORO, PAULO FERNANDO; GONCALVES, APARECIDO CARLOS; DOS SANTOS, LUCAS HENRIQUE. Prognosis and Detection of Experimental Failures in Open Field Diesel Engines Applying Wiener's Artificial Immunological Systems. JOURNAL OF APPLIED AND COMPUTATIONAL MECHANICS, v. 7, n. 1, p. 1-12, WIN 2021. (19/10515-4)

OUTA, ROBERTO; CHAVARETTE, FABIO ROBERTO; MISHRA, VISHNU NARAYAN; GONCALVES, APARECIDO C.; ROEFERO, LUIZ G. P.; MORO, THIAGO C.. Prognosis and fail detection in a dynamic rotor using artificial immunological system. ENGINEERING COMPUTATIONS, v. 37, n. 9, APR 2020. (19/10515-4)

BORGES LOURENCO, RODRIGO FRANCISCO; OUTA, ROBERTO; CHAVARETTE, FABIO ROBERTO; GONCALVES, APARECIDO CARLOS. Analysis and Recognition of Standards in Intelligent Hybrid Systems using Natural Computing. JOURNAL OF APPLIED AND COMPUTATIONAL MECHANICS, v. 7, n. 3, p. 1764-1773, SUM 2021. (19/10515-4)