scholarly journals RECONHECIMENTO DE FALHAS ESTRUTURAIS UTILIZANDO SISTEMA IMUNOLOGICO ARTIFICIAL WAVELET

2021 ◽  
Vol 12 (4) ◽  
pp. 82-88
Author(s):  
Fábio Roberto Chavarette ◽  
Roberto Outa ◽  
Igor Feliciani Merizio ◽  
Thiago Carreta Moro ◽  
Simone Silva Frutuoso de Souza ◽  
...  
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
Structural Integrity ◽  
Electrical Energy ◽  
Steam Turbines ◽  
Artificial Immune ◽  
Novel Approach ◽  
Innovative Tool ◽  
Structural Failures

This work presents a novel approach for monitoring the structural integrity of a dynamic rotor basead in a intelligent methodology combined with a mathematical transform, the Wavelet artificial immune system. The combination of the artificial immune system with the Wavelet transform generates an innovative tool to perform the identification, localization and classification of structural failures. Through this methodology, industrial machine designs are developed to meet these needs, reducing failures and anticipating errors found in operating machines. An emergingarea of machine designs are rotating machines also called dynamic rotors, which are applied to aircraft turbines, steam turbines for the production of electrical energy, turbo-compressors, among others. To validate this methodology, experimental data are collected, and from this, different situations (normal condition and fault conditions) are generated, obtaining a database of signals, which were analyzed by the proposed method. The results obtained by the Wavelet Artificial Immune System are efficient and robust.

Structural failures diagnosis using a hybrid artificial intelligence method / Diagnóstico de falhas estruturais utilizando um método híbrido de inteligência artificial

2021 ◽  
Vol 7 (7) ◽  
pp. 66873-66893
Author(s):  
Simone Silva Frutuoso de Souza ◽  
Mailon Bruno Pedri de Campos ◽  
Fábio Roberto Chavarette ◽  
Fernando Parra dos Anjos Lima
Keyword(s):  
Immune System ◽  
Negative Selection ◽  
Artificial Immune System ◽  
Artificial Immune ◽  
Aircraft Structure ◽  
Inspection Process ◽  
Artificial Immune System Algorithm ◽  
Structural Failures ◽  
Aluminum Beam ◽  
Hybrid Artificial Intelligence

This paper presents a Wavelet-artificial immune system algorithm to diagnose failures in aeronautical structures. Basically, after obtaining the vibration signals in the structure, is used the wavelet module for transformed the signals into the wavelet domain. Afterward, a negative selection artificial immune system realizes the diagnosis, identifying and classifying the failures. The main application of this methodology is the auxiliary structures inspection process in order to identify and characterize the flaws, as well as perform the decisions aiming at avoiding accidents or disasters. In order to evaluate this methodology, we carried out the modeling and simulation of signals from a numerical model of an aluminum beam, representing an aircraft structure such as a wing. The results demonstrate the robustness and accuracy methodology.

Automatic Selector Between Cardiogenic Oscillation and Airway Secretion in Mechanical Ventilation Flow Signals Using Artificial Immune System

2018 ◽  
Vol 9 (4) ◽  
pp. 65-78
Author(s):  
Samuel Sobral dos Santos ◽  
Hatus Vianna Wanderley ◽  
Fernando Buarque de Lima Neto
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
Artificial Immune ◽  
Flow Signal ◽  
Specificity And Sensitivity ◽  
Airway Secretion ◽  
Artificial Immune System Algorithm ◽  
Ventilation Modes ◽  
Cardiogenic Oscillation

The accumulation of secretions in the airways of ventilator-dependent patients is a common problem, and if not detected and treated in due time, it greatly increases the risk of infections and asynchrony. Unfortunately, cardiogenic oscillation modifies the flow signal shape that can confuse clinical staff and modern lung ventilators. In this article, the authors use an artificial immune system algorithm in a pre-processed flow signal. The authors' approach was able to automatically detect the presence or absence of airway secretions, even if the sample contains the influence of cardiogenic oscillation. The training and validation of the algorithm was carried out using a database containing flow signals of 457 respiratory cycles, obtained from three patients in different ventilation modes. The algorithm trained with 60% of the base cycles, was able to achieve specificity and sensitivity above 0.96 in the classification of the remaining cycles of the base.

scholarly journals TWO-CLASSIFICATION ARTIFICIAL IMMUNE SYSTEM

2017 ◽  
Vol 20 (7) ◽  
pp. 207-220
Author(s):  
M.E. Burlakov
Keyword(s):  
Immune System ◽  
Electronic Mail ◽  
Artificial Immune System ◽  
Practical Aspect ◽  
Artificial Immune ◽  
Closed Systems ◽  
Document Flow ◽  
Biological Immune System ◽  
Comparison Of Effectiveness

In the article the practical aspect of application of principles of biological immune system for solving the problem of analysis and classification of email is viewed. In the capacity of analyzed emails ordinary emails (electronic mail) and mails from closed systems (electronic document flow or business management systems) were taken. In the article two-classification artificial immune system was developed with further comparison of effectiveness of their usage with naive Bayesian classification algorithm. Practical realization of the developed system with the application in the system of analysis of emails of the commercial structure is carried out.

scholarly journals DETECÇÃO DE FALHAS ESTRUTURAIS DE UM PRÉDIO DE DOIS ANDARES UTILIZANDO SISTEMA IMUNOLÓGICO ARTIFICIA

2019 ◽  
Vol 11 (4) ◽  
pp. 73-84
Author(s):  
Thiago Carreta Moro ◽  
Fábio Roberto Chavarette ◽  
Luiz Gustavo Pereira Roéfero ◽  
Roberto Outa
Keyword(s):  
Immune System ◽  
Negative Selection ◽  
Artificial Immune System ◽  
Structural Integrity ◽  
Selection Algorithm ◽  
Artificial Immune ◽  
Intelligent Computing ◽  
Negative Selection Algorithm ◽  
Story Building

This work presents the innovative proposal for the development of SHMs with focus on physical cyber systems applied in a two-story building based on Intelligent Computing (CI) techniques, the negative selection algorithm from the Artificial Immune System, to perform the analysis and monitoring of structural integrity in a building.

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